zhuwenxing / daily_arxiv

Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

2024-05-17

paper	code
$f$-divergence based classification: beyond the use of cross-entropy	discriminative-classification-fdiv
dynamic gnns for precise seizure detection and classification from eeg data	NeuroGNN
language-oriented semantic latent representation for image transmission	img2img-sc
towards task-compatible compressible representations	research

2024-05-16

paper	code
calibrating wireless ray tracing for digital twinning using local phase error estimates	phase-aware-rt-calibration
unsupervised learning based end-to-end delayless generative fixed-filter active noise control	unsupervised-gfanc
unsupervised learning for joint beamforming design in ris-aided isac systems	DL-Beamforming-RIS-ISAC

2024-05-15

paper	code
multi-target tracking with transferable convolutional neural networks	mtt
genet: a graph neural network-based anti-noise task-oriented semantic communication paradigm	genet
modeling of time-varying wireless communication channel with fading and shadowing	Modeling-of-Time-varying-Wireless-Communication-Channel-with-Fading-and-Shadowing

2024-05-14

paper	code
audioldm 2: learning holistic audio generation with self-supervised pretraining	AudioLDM2
learning multi-frequency partial correlation graphs	bspcg
prospects for ai-enhanced ecg as a unified screening tool for cardiac and non-cardiac conditions -- an explorative study in emergency care	ecg-mimic
personalized heart disease detection via ecg digital twin generation	lavq-editor
neuronet: a novel hybrid self-supervised learning framework for sleep stage classification using single-channel eeg	NeuroNet
timely status updates in slotted aloha networks with energy harvesting	aoi_slottedaloha_energyharvesting
time-of-arrival estimation and phase unwrapping of head-related transfer functions with integer linear programming	hrtf-ilp
a supervised information enhanced multi-granularity contrastive learning framework for eeg based emotion recognition	si-cleer
transition role of entangled data in quantum machine learning	transition-role-of-entangled-data-in-qml
texshape: information theoretic sentence embedding for language models	neuralinformationshaping
an efficient compression method for sign information of dct coefficients via sign retrieval	sr
partial information decomposition as information bottleneck	pid-as-ib
localized adaptive risk control	localized-adaptive-risk-control

2024-05-13

paper	code
compressing sign information in dct-based image coding via deep sign retrieval	dsr
asf-yolo: a novel yolo model with attentional scale sequence fusion for cell instance segmentation	asf-yolo
diffusion-aided joint source channel coding for high realism wireless image transmission	diffjscc
optimal beamforming of ris-aided wireless communications: an alternating inner product maximization approach	RIS_Optimization

2024-05-10

paper	code
ecg-based estimation of respiratory modulation of av nodal conduction during atrial fibrillation	ecg-based_estimation_of_respiratory_modulation_of_av_nodal_conduction_during_atrial_fibrillation

2024-05-09

paper	code
data augmentation for generating synthetic electrogastrogram time series	syegg
enhancing deep reinforcement learning: a tutorial on generative diffusion models in network optimization	gdmopt
uncertainty-aware bayes' rule and its applications	bayes-rule
regime learning for differentiable particle filters	Regime_Switching
communication-efficient collaborative perception via information filling with codebook	codefilling

2024-05-08

paper	code
robofisense: attention-based robotic arm activity recognition with wifi sensing	robofisense
learning linear block error correction codes	e2e_dc_ecct

2024-05-07

paper	code
generalised envelope spectrum-based signal-to-noise objectives: formulation, optimisation and application for gear fault detection under time-varying speed conditions	snrocl
antenna failure resilience: deep learning-enabled robust doa estimation with single snapshot sparse arrays	deep_rsa_doa
fully reversing the shoebox image source method: from impulse responses to room parameters	acoustic-sfw
performance evaluation of pac decoding with deep neural networks	Performance-Evaluation-of-PAC-Decoding-with-Deep-Neural-Networks
perfect codes over non-prime power alphabets: an approach based on diophantine equations	perfect-q-ary-codes

2024-05-06

paper	code
risk-aware continuous control with neural contextual bandits	risk_aware_contextual_bandit
extended kalman filter -- koopman operator for tractable stochastic optimal control	linearizing-uncertainty-for-control
identification of snps in genomes using gramep, an alignment-free method based on the principle of maximum entropy	gramep

2024-05-03

paper	code
denoiser-based projections for 2-d super-resolution multi-reference alignment	denoiser_projection
eeg-deformer: a dense convolutional transformer for brain-computer interfaces	eeg-deformer
joint signal detection and automatic modulation classification via deep learning	changshuoradiodata
locality regularized reconstruction: structured sparsity and delaunay triangulations	LocalityRegularization

2024-05-02

paper	code
titan: bringing the deep image prior to implicit representations	titan-implicit-prior
guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction	online_cp_urllc
the information geometry of umap	info-geometry-umap
an efficient difference-of-convex solver for privacy funnel	dcaPF-torch

2024-05-01

paper	code
multi-task learning for radar signal characterisation	radchar
timely status updates in slotted aloha network with energy harvesting	aoi_slottedaloha_energyharvesting
ultra inertial poser: scalable motion capture and tracking from sparse inertial sensors and ultra-wideband ranging	ultrainertialposer
type-based unsourced multiple access	TUMA

2024-04-30

paper	code
a new method of modeling the multi-stage decision-making process of crt using machine learning with uncertainty quantification	crt_multistageml_uncertainty
fully differentiable ray tracing via discontinuity smoothing for radio network optimization	differt2d
siamquality: a convnet-based foundation model for imperfect physiological signals	siamquality
cauchy-schwarz divergence information bottleneck for regression	cauchy-schwarz-information-bottleneck

2024-04-29

paper	code
the luvira dataset: synchronized vision, radio, and audio sensors for indoor localization	luvira_dataset
telco-rag: navigating the challenges of retrieval-augmented language models for telecommunications	telco-rag
interpreting deepcode, a learned feedback code	deepcode-interpretability
enumeration of minimum weight codewords of pre-transformed polar codes by tree intersection	ptpc

2024-04-26

paper	code
luvira dataset validation and discussion: comparing vision, radio, and audio sensors for indoor localization	luvira_dataset

2024-04-25

paper	code
mains: a magnetic field aided inertial navigation system for indoor positioning	mainsvsmagekf
exponentially weighted moving models	ewmm_code
eegdir: electroencephalogram denoising network for temporal information storage and global modeling through retentive network	EEGDiR
the largest eeg-based bci reproducibility study for open science: the moabb benchmark	moabb
comparing self-supervised learning techniques for wearable human activity recognition	self-supervised-learning-har
classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise	classbd
evaluating fast adaptability of neural networks for brain-computer interface	fast_bci
squwa: signal quality aware dnn architecture for enhanced accuracy in atrial fibrillation detection from noisy ppg signals	squwa
mp-dpd: low-complexity mixed-precision neural networks for energy-efficient digital predistortion of wideband power amplifiers	opendpd
a weight-aware-based multi-source unsupervised domain adaptation method for human motion intention recognition	WMDD
leveraging visibility graphs for enhanced arrhythmia classification with graph convolutional networks	vg_for_arrhythmia_classification_with_gcn
unmasking the role of remote sensors in comfort, energy and demand response	sensors4singlezonesystems
message-passing on hypergraphs: detectability, phase transitions and higher-order information	hypergraph-message-passing

2024-04-23

paper	code
using explainable ai to investigate electrocardiogram changes during healthy aging -- from expert features to raw signals	ecg-aging
a multimodal feature distillation with cnn-transformer network for brain tumor segmentation with incomplete modalities	mctseg
collaborative filtering based on diffusion models: unveiling the potential of high-order connectivity	cf_diff
turbo-cf: matrix decomposition-free graph filtering for fast recommendation	turbo-cf

2024-04-22

paper	code
ul-dl duality for cell-free massive mimo with per-ap power and information constraints	duality
frequency-aware masked autoencoders for multimodal pretraining on biosignals	ml-famae

2024-04-19

paper	code
incremental measurement of structural entropy for dynamic graphs	incre-se

2024-04-18

paper	code
the luvira dataset: measurement description	luvira_dataset
caster: a computer-vision-assisted wireless channel simulator for gesture recognition	testspectrogram
diffdet4sar: diffusion-based aircraft target detection network for sar images	DiffDet4SAR
sky-gvio: an enhanced gnss/ins/vision navigation with fcn-based sky-segmentation in urban canyon	sky-view-images
personalized heart disease detection via ecg digital twin generation	lavq-editor
on the salient limitations of the methods of assembly theory and their classification of molecular biosignatures	mscomplexity

2024-04-17

paper	code
wemac: women and emotion multi-modal affective computing dataset	wemac_dataset_speech_processing

2024-04-16

paper	code
on interference-rejection using riemannian geometry for direction of arrival estimation	interference-rejection-using-riemannian-geometry-for-doa-estimation
impact analysis of antenna array geometry on performance of semi-blind structured channel estimation for massive mimo-ofdm systems	CRB_of_3D_Antenna_Arrays_on_Performance_of_Semi-blind_Structured_Channel_Estimation
on the semi-blind mutually referenced equalizers for mimo systems	Semi-blind_Mutually_Referenced_Equalizers
rf-diffusion: radio signal generation via time-frequency diffusion	rf-diffusion
foundational gpt model for meg	meg-transfer-decoding
leveraging the doppler effect for channel charting	doppler-effect-channelcharting
openairlink: reproducible wireless channel emulation using software defined radios	openairlink
amplitude-phase fusion for enhanced electrocardiogram morphological analysis	ecg-mee-metric
compression represents intelligence linearly	llm-compression-intelligence

2024-04-15

paper	code
near-field velocity sensing and predictive beamforming	near-field-velocity-sensing-and-predictive-beamforming
interpretation of intracardiac electrograms through textual representations	text-egm
exponentially weighted moving models	ewmm_code
snake-fmri: a modular fmri data simulator from the space-time domain to k-space and back	snake-fmri

2024-04-12

paper	code
cell-free multi-user mimo equalization via in-context learning	cell-free-mimo-icl
trainable joint channel estimation, detection and decoding for mimo urllc systems	jcddnet
demystifying why local aggregation helps: convergence analysis of hierarchical sgd	hierarchical-sgd
on naisargik images of varshamov-tenengolts and helberg codes	grayvt

2024-04-11

paper	code
what is learnt by the learnable front-end (leaf)? adapting per-channel energy normalisation (pcen) to noisy conditions	adapting-leaf
quantum message-passing algorithm for optimal and efficient decoding	quantum-message-passing-paper
on the salient limitations of the methods of assembly theory and their classification of molecular biosignatures	mscomplexity

2024-04-10

paper	code
synaptogen: a cross-domain generative device model for large-scale neuromorphic circuit design	synaptogen
efficient computation of the quantum rate-distortion function	efficient-qrd
just wing it: optimal estimation of missing mass in a markovian sequence	missing-mass

2024-04-09

paper	code
self-supervised learning for time series analysis: taxonomy, progress, and prospects	Awesome-SSL4TS
k-band: self-supervised mri reconstruction via stochastic gradient descent over k-space subsets	k-band
subspace phase retrieval	spr
multi-sources information fusion learning for multi-points nlos localization	AMDNloc

2024-04-08

paper	code
visual decoding and reconstruction via eeg embeddings with guided diffusion	eeg_image_decode
diffdet4sar: diffusion-based aircraft target detection network for sar images	DiffDet4SAR

2024-04-05

paper	code
decoding natural images from eeg for object recognition	nice-eeg
reinforcement learning based dynamic power control for uav mobility management	asilomar-2023-ee-uav-varying-reliability
spatio-spectral structure tensor total variation for hyperspectral image denoising and destriping	spatio-spectral-structure-tensor-total-variation-for-hyperspectral-image-denoising-and-destriping
alzheimer's disease detection in psg signals	DL4ADpred
bcamirs at semeval-2024 task 4: beyond words: a multimodal and multilingual exploration of persuasion in memes	beyond-words-a-multimodal-exploration-of-persuasion-in-memes
early warning systems for financial markets of emerging economies	ews_condent
approximate gradient coding for privacy-flexible federated learning with non-iid data	label-heterogeneity

2024-04-04

paper	code
gegenbauer graph neural networks for time-varying signal reconstruction	gegengnn

2024-04-03

paper	code
signal2image modules in deep neural networks for eeg classification	signal2image-modules-in-deep-neural-networks-for-eeg-classification
learned kernels for sparse, interpretable, and efficient medical time series processing	smolk

2024-04-02

paper	code
visually evaluating generative adversarial networks using itself under multivariate time series	GaussianGANs
task-oriented communication for edge video analytics	tocom-tem
computational solar energy -- ensemble learning methods for prediction of solar power generation based on meteorological parameters in eastern india	solar_energy_prediction_srra
danse: data-driven non-linear state estimation of model-free process in unsupervised learning setup	danse-jrnl
sdemg: score-based diffusion model for surface electromyographic signal denoising	sdemg
complex neural network based joint aoa and aod estimation for bistatic isac	bistatic_isac

2024-04-01

paper	code
square root lasso: well-posedness, lipschitz stability and the tuning trade off	srlasso_revolutions
exact recovery of the support of piecewise constant images via total variation regularization	2023-support-recovery-tv
algorithms for non-negative matrix factorization on noisy data with negative values	nearly_nmf
3d-speaker-toolkit: an open source toolkit for multi-modal speaker verification and diarization	3D-Speaker
dual simplex volume maximization for simplex-structured matrix factorization	maxvol_dual
evolving semantic communication with generative model	gan_secom
localising the seizure onset zone from single-pulse electrical stimulation responses with a transformer	localising_soz_from_spes
greedy poisson rejection sampling	greedy-poisson-rejection-sampling

2024-03-29

paper	code
efficient deep learning-based estimation of the vital signs on smartphones	medvse
identifying tbi physiological states by clustering multivariate clinical time-series data	slac-time
leveraging variational autoencoders for parameterized mmse estimation	vae-estimator
channel estimation in underdetermined systems utilizing variational autoencoders	vae-est-ud
gan-supervised seismic data reconstruction: an enhanced-learning for improved generalization	gan_guided_seismic
brant-2: foundation model for brain signals	brant-2
deep csi compression for dual-polarized massive mimo channels with disentangled representation learning	direnet
toward low-latency iterative decoding of qldpc codes under circuit-level noise	slidingwindowdecoder

2024-03-28

paper	code
high-rate phase association with travel time neural fields	phase_association
genet: a graph neural network-based anti-noise task-oriented semantic communication paradigm	genet
clustering change sign detection by fusing mixture complexity	mc-fusion

2024-03-27

paper	code
on the intersection of signal processing and machine learning: a use case-driven analysis approach	signal-processing-for-machine-learning
hill: hierarchy-aware information lossless contrastive learning for hierarchical text classification	hill

2024-03-26

paper	code
user training with error augmentation for electromyogram-based gesture classification	emg-feedback-user-training
arbitrary discrete fourier analysis and its application in replayed speech detection	adfa
coupled generator decomposition for fusion of electro- and magnetoencephalography data	coupled-generator-decomposition
fast real-time arbitrary waveform generation using graphic processing units	awg-on-gpu
proprioception is all you need: terrain classification for boreal forests	BorealTC

2024-03-25

paper	code
successive pose estimation and beam tracking for mmwave vehicular communication systems	Fast-CFEAR-Radar-Odometry

2024-03-22

paper	code
interpretable causal inference for analyzing wearable, sensor, and distributional data	addmalts
towards better statistical understanding of watermarking llms	dualga

2024-03-21

paper	code
sdoa-net: an efficient deep learning-based doa estimation network for imperfect array	sdoa-net
design of efficient point-mass filter with application in terrain aided navigation	efficient-pmf
identifying tbi physiological states by clustering multivariate clinical time-series data	slac-time
energy-efficient analog beamforming for rf-wet with charging time constraint	ee-analog-beamforming-wet
iterative regularization with k-support norm: an important complement to sparse recovery	irksn_aaai2024
page: prototype-based model-level explanations for graph neural networks	page
s$\omega$i: score-based o-information estimation	soi

2024-03-20

paper	code
deep joint source-channel coding over cooperative relay networks	relay_jscc
brain tumor detection based on a novel and high-quality prediction of the tumor pixel distributions	Brain-tumor-detection-based-on-a-novel-and-high-quality-prediction-of-the-tumor-pixel-distributions
hypergraph-mlp: learning on hypergraphs without message passing	hypergraph-mlp
guiding masked representation learning to capture spatio-temporal relationship of electrocardiogram	st-mem
sim2real in reconstructive spectroscopy: deep learning with augmented device-informed data simulation	rec_spectrometer
finding the missing data: a bert-inspired approach against package loss in wireless sensing	csi-bert
information decomposition in complex systems via machine learning	distributed-information-bottleneck.github.io
a fast and provable algorithm for sparse phase retrieval	sparsepr
language modeling is compression	language_modeling_is_compression

2024-03-19

paper	code
deep nonnegative matrix factorization with beta divergences	deep-beta-nmf-public
data-driven forced oscillation localization using inferred impulse responses	fo_local
deep regularized compound gaussian network for solving linear inverse problems	dr-cg-net
mains: a magnetic field aided inertial navigation system for indoor positioning	mainsvsmagekf
selfeeg: a python library for self-supervised learning in electroencephalography	selfeeg
a continuous boostlet transform for acoustic waves in space-time	acha_sparsityanalysis
a deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm	ecgbeat4afsinus
specific emitter identification handling modulation variation with margin disparity discrepancy	mdd-sei
robust counterfactual explanations for neural networks with probabilistic guarantees	TReX-Counterfactuals

2024-03-18

paper	code
a time-causal and time-recursive analogue of the gabor transform	pygabor
a conversational brain-artificial intelligence interface	eegchat
the information geometry of umap	info-geometry-umap

2024-03-15

paper	code
compressing sign information in dct-based image coding via deep sign retrieval	dsr
uncertainty-aware and reliable neural mimo receivers via modular bayesian deep learning	bayesian-learning-for-receivers
model-free reinforcement learning of semantic communication by stochastic policy gradient	sinfony
plug-and-play regularization on magnitude with deep priors for 3d near-field mimo imaging	PnP-Regularization-on-Magnitude
visual decoding and reconstruction via eeg embeddings with guided diffusion	eeg_image_decode
meta-learning-based fronthaul compression for cloud radio access networks	Meta-Learning-Fronthaul-Compression-CRAN

2024-03-14

paper	code
slicertms: real-time visualization of transcranial magnetic stimulation for mental health treatment	SlicerTMS
structure-preserving transformers for sequences of spd matrices	spdtransnet

2024-03-13

paper	code
wimans: a benchmark dataset for wifi-based multi-user activity sensing	wimans
exploring challenges in deep learning of single-station ground motion records	mage
innovation processes for inference	InnovationProcessesInference
an efficient difference-of-convex solver for privacy funnel	dcaPF-torch

2024-03-12

paper	code
tfn: an interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis	tfn
ul-dl duality for cell-free massive mimo with per-ap power and information constraints	duality
symmetric-reciprocal-match method for vector network analyzer calibration	srm-calibration
guiding masked representation learning to capture spatio-temporal relationship of electrocardiogram	st-mem
blockchain-enabled variational information bottleneck for iot networks	blockchain-enabled-variational-information-bottleneck-for-iot-networks
on the salient limitations of the methods of assembly theory and their classification of molecular biosignatures	mscomplexity
learning unknown intervention targets in structural causal models from heterogeneous data	lit
detection of unobserved common causes based on nml code in discrete, mixed, and continuous variables	cloud

2024-03-11

paper	code
blind source separation of single-channel mixtures via multi-encoder autoencoders	self-supervised-bss-via-multi-encoder-ae
differentiable learning of generalized structured matrices for efficient deep neural networks	Gaudi-GBLR
szcore: a seizure community open-source research evaluation framework for the validation of eeg-based automated seizure detection algorithms	epilepsy2bids
dero: dead reckoning based on radar odometry with accelerometers aided for robot localization	dero
a decoupled approach for composite sparse-plus-smooth penalized optimization	compositesps
gan-based massive mimo channel model trained on measured data	gan-wireless-channel-model
bayes conditional distribution estimation for knowledge distillation based on conditional mutual information	iclrmcmi

2024-03-08

paper	code
dtp-net: learning to reconstruct eeg signals in time-frequency domain by multi-scale feature reuse	eeg-denoise

2024-03-07

paper	code
structure-preserving transformers for sequences of spd matrices	spdtransnet
tsrnet: simple framework for real-time ecg anomaly detection with multimodal time and spectrogram restoration network	tsrnet
brant-2: foundation model for brain signals	brant-2
arnn: attentive recurrent neural network for multi-channel eeg signals to identify epileptic seizures	arnn
diffusion-based generative prior for low-complexity mimo channel estimation	diffusion_channel_est

2024-03-05

paper	code
matnet: multi-level fusion transformer-based model for day-ahead pv generation forecasting	matnet
improving robustness via tilted exponential layer: a communication-theoretic perspective	texp_for_robustness
neuro-gpt: towards a foundation model for eeg	neurogpt
arbitrary discrete fourier analysis and its application in replayed speech detection	adfa
lum-vit: learnable under-sampling mask vision transformer for bandwidth limited optical signal acquisition	lum-vit
powerskel: a device-free framework using csi signal for human skeleton estimation in power station	ckdformer
hybrid quantum neural network advantage for radar-based drone detection and classification in low signal-to-noise ratio	hybrid-quantum-classical-Neural-Network-for-radar-data
neural estimation of the rate-distortion function with applications to operational source coding	nerd-rcc
exposing the deception: uncovering more forgery clues for deepfake detection	exposing-the-deception

2024-03-04

paper	code
self-supervised learning for time series analysis: taxonomy, progress, and prospects	Awesome-SSL4TS
active sensing for reciprocal mimo channels	active-sensing-for-reciprocal-mimo-channels
safeguarding data in multimodal ai: a differentially private approach to clip training	dpclip
stein variational guided model predictive path integral control: proposal and experiments with fast maneuvering vehicles	proj-svg_mppi

2024-03-01

paper	code
statistical component separation for targeted signal recovery in noisy mixtures	stat_comp_sep
listening to the noise: blind denoising with gibbs diffusion	gibbs-diffusion
quantum state compression with polar codes	qscpolar

2024-02-29

paper	code
eeg2rep: enhancing self-supervised eeg representation through informative masked inputs	eeg2rep
extended kalman filter -- koopman operator for tractable stochastic optimal control	linearizing-uncertainty-for-control
on the computational entanglement of distant features in adversarial machine learning	adversary-example-through-relativity

2024-02-28

paper	code
multi-kernel correntropy-based orientation estimation of imus: gradient descent methods	mc_gd_imu
hrtf upsampling with a generative adversarial network using a gnomonic equiangular projection	hrtf-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection
distributed deep joint source-channel coding with decoder-only side information	deepjscc-wz
computation rate maximization for wireless powered edge computing with multi-user cooperation	wptmec

2024-02-27

paper	code
a complex quasi-newton proximal method for image reconstruction in compressed sensing mri	cqnpcs_mrireco
semi-supervised end-to-end learning for integrated sensing and communications	sslisac
deep, convergent, unrolled half-quadratic splitting for image deconvolution	decun
flexible robust beamforming for multibeam satellite downlink using reinforcement learning	2310_beamforming_learner_2
bagged deep image prior for recovering images in the presence of speckle noise	Bagged-DIP-Speckle

2024-02-26

paper	code
cell-free isac mimo systems: joint sensing and communication beamforming	Cell-free-ISAC-beamforming
a hybrid quantum-classical approach based on the hadamard transform for the convolutional layer	icml2023-ht
reconfigurable intelligent surfaces-enabled intra-cell pilot reuse in massive mimo systems	ris-pilot-reuse
sdemg: score-based diffusion model for surface electromyographic signal denoising	sdemg
szcore: a seizure community open-source research evaluation framework for the validation of eeg-based automated seizure detection algorithms	epilepsy2bids
a conversational brain-artificial intelligence interface	eegchat

2024-02-23

paper	code
approximate message passing with rigorous guarantees for pooled data and quantitative group testing	amp_pooled_qgt
brant-2: foundation model for brain signals	brant-2
random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation	magnav
gdtm: an indoor geospatial tracking dataset with distributed multimodal sensors	gdtm
semantic-preserving image coding based on conditional diffusion models	spic
dynamic multi-network mining of tensor time series	dmm

2024-02-22

paper	code
ris-admm: a ris and admm-based passive and sparse sensing method with interference removal	ris-admm
motor imagery decoding using ensemble curriculum learning and collaborative training	ensemble-mi
a new method of modeling the multi-stage decision-making process of crt using machine learning with uncertainty quantification	crt_multistageml_uncertainty
diffplf: a conditional diffusion model for probabilistic forecasting of ev charging load	DiffPLF
interpretable diffusion via information decomposition	info-decomp
comparing comparators in generalization bounds	comparing-comparators
treet: transfer entropy estimation via transformer	treet

2024-02-21

paper	code
beyond diagonal reconfigurable intelligent surfaces utilizing graph theory: modeling, architecture design, and optimization	bdris-utilizing-graph-theory
on the impact of mutual coupling on ris-assisted channel estimation	communication
learning transfer operators by kernel density estimation	fpoperatorde

2024-02-20

paper	code
deep, deep learning with bart	deep-deep-learning-with-bart
apsense: data-driven algorithm in ppg-based sleep apnea sensing	apsense
iterative regularization with k-support norm: an important complement to sparse recovery	irksn_aaai2024
integrating pre-trained language model with physical layer communications	on-device-ai-comm

2024-02-19

paper	code
wimans: a benchmark dataset for wifi-based multi-user activity sensing	wimans
robust beamforming for ris-aided communications: gradient-based manifold meta learning	GMML
reliability and latency analysis for wireless communication systems with a secret-key budget	secret-key-budget-ruin
towards cohesion-fairness harmony: contrastive regularization in individual fair graph clustering	ifairnmtf

2024-02-16

paper	code
outlier-insensitive kalman filtering: theory and applications	oikf-nuv
multidimensional gabor-like filters derived from gaussian functions on logarithmic frequency axes	gabor-like-filters
improving eeg signal classification accuracy using wasserstein generative adversarial networks	eeg-wgan
stein variational guided model predictive path integral control: proposal and experiments with fast maneuvering vehicles	proj-svg_mppi

2024-02-15

paper	code
prediction, communication, and computing duration optimization for vr video streaming	code4vr-prediction-communication-and-computing
introducing rsess: an open source enumerative sphere shaping implementation coded in rust	rsess
lightweight deep learning based channel estimation for extremely large-scale massive mimo systems	XLCNet

2024-02-14

paper	code
compressing sign information in dct-based image coding via deep sign retrieval	dsr
optimized gradient tracking for decentralized online learning	Optimized-Gradient-Tracking
self-supervised blind source separation via multi-encoder autoencoders	self-supervised-bss-via-multi-encoder-ae
leveraging digital cousins for ensemble q-learning in large-scale wireless networks	digital-cousins-for-ensemble-q-learning
commodity-specific triads in the dutch inter-industry production network	numetris

2024-02-13

paper	code
harpa: high-rate phase association with travel time neural fields	phase_association
design space exploration on efficient and accurate human pose estimation from sparse imu-sensing	dse-sparse-imu
improving robustness via tilted exponential layer: a communication-theoretic perspective	texp_for_robustness
implementation of kalman filter approach for active noise control by using matlab: dynamic noise cancellation	kalman_filter_for_anc
set learning for accurate and calibrated models	oko
treet: transfer entropy estimation via transformer	treet
tighter bounds on the information bottleneck with application to deep learning	vub

2024-02-12

paper	code
a new inexact proximal linear algorithm with adaptive stopping criteria for robust phase retrieval	ipl-code-share
energy-efficient power allocation in cell-free massive mimo via graph neural networks	ee_cell_free
checking the sufficiently scattered condition using a global non-convex optimization software	check-ssc

2024-02-09

paper	code
spiking neural networks in the alexiewicz topology: a new perspective on analysis and error bounds	alexsnn
multi-timescale ensemble q-learning for markov decision process policy optimization	tsp_23_supplementary_file

2024-02-08

paper	code
stochastic unrolled federated learning	fed-surf
rscnet: dynamic csi compression for cloud-based wifi sensing	rscnet

2024-02-07

paper	code
task-oriented communication with out-of-distribution detection: an information bottleneck framework	VCCIB
deep nonnegative matrix factorization with beta divergences	deep-beta-nmf-public
sdemg: score-based diffusion model for surface electromyographic signal denoising	sdemg
attention with markov: a framework for principled analysis of transformers via markov chains	markov

2024-02-06

paper	code
on confidence sequences for bounded random processes via universal gambling strategies	confidence-sequence-via-gambling
algorithms for computing the free distance of convolutional codes	algorithms-for-computing-the-free-distance-of-convolutional-codes
minimum description length and generalization guarantees for representation learning	mdl_and_generalization_guarantees_for_representation_learning

2024-02-05

paper	code
graph representation learning for contention and interference management in wireless networks	ac-grl-wi-fi
an information-theoretic approach to analyze nlp classification tasks	nlp-element-influence
flexible variational information bottleneck: achieving diverse compression with a single training	fvib

2024-02-02

paper	code
self-supervised speech representation and contextual text embedding for match-mismatch classification with eeg recording	eeg-stimulus-match-mismatch
energy-efficient power allocation in cell-free massive mimo via graph neural networks	ee_cell_free
online speaker diarization of meetings guided by speech separation	sspavaldo
determination of trace organic contaminant concentration via machine classification of surface-enhanced raman spectra	Determination-of-Trace-Organic-Contaminant-Concentration-via-Machine-Classification-of-Raman-Spectra

2024-02-01

paper	code
gaussian adaptive attention is all you need: robust contextual representations across multiple modalities	gaussian-adaptive-attention
an iot system for smart building combining multiple mmwave fmcw radars applied to people counting	mmwave_cluster

2024-01-31

paper	code
enn: a neural network with dct adaptive activation functions	enn
mt-hccar: multi-task deep learning with hierarchical classification and attention-based regression for cloud property retrieval	mt-hccar
a fully differentiable model for unsupervised singing voice separation	umss_icassp
channel characterization of uav-ris-aided systems with adaptive phase-shift configuration	uav-ris-blockage
unrestricted error-type codebook generation for error correction code in dna storage inspired by nlp	code_generation_for_dna_storage
large language model evaluation via matrix entropy	matrix-entropy

2024-01-30

paper	code
cell-free massive mimo in o-ran: energy-aware joint orchestration of cloud, fronthaul, and radio resources	o-ran-cell-free
task-oriented communication with out-of-distribution detection: an information bottleneck framework	VCCIB
generalizable sleep staging via multi-level domain alignment	sleepdg
biodiffusion: a versatile diffusion model for biomedical signal synthesis	biodiffusion
effective communication with dynamic feature compression	tmlcn_code

2024-01-26

paper	code
a strong and simple deep learning baseline for bci mi decoding	eegsimpleconv
energy-efficient power allocation in cell-free massive mimo via graph neural networks	ee_cell_free
rotation invariant quantization for model compression	riq

2024-01-25

paper	code
data-driven estimation of capacity upper bounds	upper_capacity_bounds
opendpd: an open-source end-to-end learning & benchmarking framework for wideband power amplifier modeling and digital pre-distortion	opendpd
a generalized multiscale bundle-based hyperspectral sparse unmixing algorithm	gmbua
diffusion model based posterior sampling for noisy linear inverse problems	dmps

2024-01-24

paper	code
afs-bm: enhancing model performance through adaptive feature selection with binary masking	afs_bm-algorithm
towards adaptive subspace detection in heterogeneous environment	heterogeneous_detector
a review of deep learning methods for photoplethysmography data	dl_ppg_review
entanglement purification with quantum ldpc codes and iterative decoding	ghz_distillation_qec
statistical mechanics of the maximum-average submatrix problem	Maximum-Average-Submatrix
multi-sources information fusion learning for multi-points nlos localization	AMDNloc

2024-01-23

paper	code
the icanclean algorithm: how to remove artifacts using reference noise recordings	iCanClean
the manifold scattering transform for high-dimensional point cloud data	pointcloud_scattering
identifying tbi physiological states by clustering multivariate clinical time-series data	slac-time
modulate your spectrum in self-supervised learning	intl
congestion-aware distributed task offloading in wireless multi-hop networks using graph neural networks	multihop-offload
fully differentiable ray tracing via discontinuity smoothing for radio network optimization	differt2d
nlcg-net: a model-based zero-shot learning framework for undersampled quantitative mri reconstruction	NLCG-Net
cone-restricted information theory	conerestrictedinformationtheory
in-context learning for mimo equalization using transformer-based sequence models	icl-equalization
deep learning-based adaptive joint source-channel coding using hypernetworks	hyper-ajscc

2024-01-22

paper	code
group-level brain decoding with deep learning	meg-group-decode
mutual information-based integrated sensing and communications: a wmmse framework	MI-based-WMMSE-ISAC-algorithm
chaotic properties of an fir filtered h'enon map	chaotic-properties-of-an-fir-filtered-henon-map
biodiffusion: a versatile diffusion model for biomedical signal synthesis	biodiffusion
window stacking meta-models for clinical eeg classification	eegscopeandarbitration
morpheusnet: resource efficient sleep stage classifier for embedded on-line systems	morphuesnet
learning non-myopic power allocation in constrained scenarios	nmpa
attentive fusion: a transformer-based approach to multimodal hate speech detection	hate-speech-identification
a novel maximum-entropy-driven technique for low-rank orthogonal nonnegative matrix factorization with $\ell_0$-norm sparsity constraint	mep-orthogonal-nmf

2024-01-19

paper	code
learning to extract distributed polarization sensing data from noisy jones matrices	physics-based-distributed-polarization-sensing
pac codes: sequential decoding vs list decoding	List-Decoding-for-Polar-and-PAC-Codes
recovering simultaneously structured data via non-convex iteratively reweighted least squares	simirls
learn to categorize or categorize to learn? self-coding for generalized category discovery	infosieve

2024-01-18

paper	code
a comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection	mimo_jcesd
score-based source separation with applications to digital communication signals	score_based_source_separation
a densenet-based method for decoding auditory spatial attention with eeg	asad_densenet
neural network equalizers and successive interference cancellation for bandlimited channels with a nonlinearity	nn-mi
entanglement purification with quantum ldpc codes and iterative decoding	ghz_distillation_qec
greedy poisson rejection sampling	greedy-poisson-rejection-sampling
algebra of nonlocal boxes and the collapse of communication complexity	algebra-of-boxes-code
bayes conditional distribution estimation for knowledge distillation based on conditional mutual information	iclrmcmi

2024-01-17

paper	code
resource-efficient separation transformer	speechbrain
optimal discrete beamforming of ris-aided wireless communications: an inner product maximization approach	RIS_Optimization
ensemble kalman filtering meets gaussian process ssm for non-mean-field and online inference	gpssmproj
frequency analysis and filter design for directed graphs with polar decomposition	ICASSP2024
unsupervised harmonic parameter estimation using differentiable dsp and spectral optimal transport	1d-spectral-optimal-transport
iterative regularization with k-support norm: an important complement to sparse recovery	irksn_aaai2024
remaining useful life prediction for aircraft engines using lstm	rul-prediction
calibration of an ska-low prototype station using holographic techniques	zenodo.8237885
opendpd: an open-source end-to-end learning & benchmarking framework for wideband power amplifier modeling and digital pre-distortion	opendpd
reliability and latency analysis for wireless communication systems with a secret-key budget	secret-key-budget-ruin

2024-01-15

paper	code
robust peak detection for holter ecgs by self-organized operational neural networks	r-peak-detection-1d-selfonn
learning temporal resolution in spectrogram for audio classification	diffres-python
emergency response person localization and vital sign estimation using a semi-autonomous robot mounted sfcw radar	radar-vitals-estimation
semantic-forward relaying: a novel framework towards 6g cooperative communications	Semantic_Forward
generalizable sleep staging via multi-level domain alignment	sleepdg
block majorization minimization with extrapolation and application to $\beta$-nmf	bmme

2024-01-12

paper	code
task-oriented communication with out-of-distribution detection: an information bottleneck framework	VCCIB
online action recognition for human risk prediction with anticipated haptic alert via wearables	paper_guo_2023_humanoids_lifting_risk_prediction
adf & transapp: a transformer-based framework for appliance detection using smart meter consumption series	transapp
selfeeg: a python library for self-supervised learning in electroencephalography	selfeeg
rfrl gym: a reinforcement learning testbed for cognitive radio applications	rfrl-gym
seamless and multi-resolution energy forecasting	multiresolutionforecasting
pulsatiomech: an open-source matlab toolbox for seismocardiography signal processing	scg_master_toolbox
weiss-weinstein bound of frequency estimation error for very weak gnss signals	WWB

2024-01-11

paper	code
on the salient limitations of the methods of assembly theory and their classification of molecular biosignatures	mscomplexity
in search of maximum non-overlapping codes	nono-codes

2024-01-10

paper	code
adaptive kalmannet: data-driven kalman filter with fast adaptation	adaptive-knet-icassp24
online test-time adaptation of spatial-temporal traffic flow forecasting	adcsd

2024-01-09

paper	code
qcm-sgm+: improved quantized compressed sensing with score-based generative models	qcs-sgm-plus
calibration-free online test-time adaptation for electroencephalography motor imagery decoding	eeg-otta
faultformer: pretraining transformers for adaptable bearing fault classification	faultformer
ensemble kalman filtering meets gaussian process ssm for non-mean-field and online inference	gpssmproj
improving transferability of network intrusion detection in a federated learning setup	transferability
ddd: a perceptually superior low-response-time dnn-based declipper	ddd
lofi user scheduling for multiuser mimo wireless systems	lofi-user-scheduling

2024-01-08

paper	code
channel estimation in underdetermined systems utilizing variational autoencoders	vae-est-ud
a geometry-based stochastic wireless channel model using channel images	geostochasticchanmodel
geo2sigmap: high-fidelity rf signal mapping using geographic databases	geo2sigmap

2024-01-05

paper	code
multi-device task-oriented communication via maximal coding rate reduction	taskcommmcr2
transmusic: a transformer-aided subspace method for doa estimation with low-resolution adcs	transformer_music
multi-agent context learning strategy for interference-aware beam allocation in mmwave vehicular communications	beam-analysis

2024-01-04

paper	code
near-field velocity sensing and predictive beamforming	near-field-velocity-sensing-and-predictive-beamforming
physics-informed appliance signatures generator for energy disaggregation	edframe
an experimental sorting method for improving metagenomic data encoding	mizar
concurrent brainstorming & hypothesis satisfying: an iterative framework for enhanced retrieval-augmented generation (r2cbr3h-sr)	r2cbr3h-sr

2024-01-03

paper	code
data-adaptive graph framelets with generalized vanishing moments for graph signal processing	graph-involved-frame
$f$-divergence based classification: beyond the use of cross-entropy	discriminative-classification-fdiv
families of costs with zero and nonnegative mtw tensor in optimal transport	regularmtw

2024-01-02

paper	code
dictionary attack on imu-based gait authentication	dictionaryattackonimugait
wisegrt: dataset for site-specific indoor radio propagation modeling with 3d segmentation and differentiable ray-tracing	wisegrt

2024-01-01

paper	code
a declarative goal-oriented framework for smart environments with lpaas	Solomon
bayesian topology inference on partially known networks from input-output pairs	inference_langevin

2023-12-29

paper	code
gasper: graph signal processing in r	SGWT-SURE
robust kalman filters based on the sub-gaussian $\alpha$-stable distribution	robust-kalman-filters-based-on-the-sub-gaussian-alpha-stable-distribution
robofisense: attention-based robotic arm activity recognition with wifi sensing	robofisense
a generalization of the convolution theorem and its connections to non-stationarity and the graph frequency domain	genconv
efficient physics-based learned reconstruction methods for real-time 3d near-field mimo radar imaging	efficient-learned-3d-near-field-mimo-imaging

2023-12-27

paper	code
nuv-doa: nuv prior-based bayesian sparse reconstruction with spatial filtering for super-resolution doa estimation	ICASSP24-NUV-DoA
sparsity-aware distributed learning for gaussian processes with linear multiple kernel	distributed-gsm
ensemble kalman filtering-aided variational inference for gaussian process state-space models	gpssmproj
harmonics of learning: universal fourier features emerge in invariant networks	spectral-universality
a refining underlying information framework for monaural speech enhancement	rui_se
robust stochastically-descending unrolled networks	unrolledglow

2023-12-25

paper	code
geo2sigmap: high-fidelity rf signal mapping using geographic databases	geo2sigmap
instantaneous frequency estimation in multicomponent signals in case of interference based on the prony method	prony_if_estimation

2023-12-22

paper	code
multimodal brain-computer interface for in-vehicle driver cognitive load measurement: dataset and baselines	cl-drive
finding order in chaos: a novel data augmentation method for time series in contrastive learning	Finding_Order_in_Chaos
energy-aware adaptive sampling for self-sustainability in resource-constrained iot devices	EcoTrack
revisiting deep generalized canonical correlation analysis	revisiting-dgcca
angle of arrival and centimeter distance estimation on a smart uwb sensor node	uwb_dualantenna_aoa
leveraging visual supervision for array-based active speaker detection and localization	leveraging-visual-supervision-for-array-based-asdl
bayesian optimized physics-informed neural network for estimating wave propagation velocities	bopinn
bidirectional uwb localization: a review on an elastic positioning scheme for gnss-deprived zones	positioning-algorithms-for-uwb-matlab

2023-12-21

paper	code
calibrating wireless ray tracing for digital twinning using local phase error estimates	phase-aware-rt-calibration
energy-efficient spiking neural network equalization for im/dd systems with optimized neural encoding	optispike

2023-12-20

paper	code
grid-free harmonic retrieval and model order selection using deep convolutional neural networks	deepest-demo
deep plug-and-play prior for multitask channel reconstruction in massive mimo systems	pnpmt
a study on transferability of deep learning models for network intrusion detection	transferability
control aspects for using ris in latency-constrained mobile edge computing	mec-with-ris-control

2023-12-19

paper	code
morpi: mobile robot pure inertial navigation	morpi
eat-radar: continuous fine-grained intake gesture detection using fmcw radar and 3d temporal convolutional network with attention	eat-radar
low-complexity subspace-descent over symmetric positive definite manifold	subspace_descent_over_SPD_manifold
symmetric-reciprocal-match method for vector network analyzer calibration	srm-calibration
channel estimation for quantized systems based on conditionally gaussian latent models	quantized_channel_estimation
a geometry-based stochastic wireless channel model using channel images	geostochasticchanmodel
tsrnet: simple framework for real-time ecg anomaly detection with multimodal time and spectrogram restoration network	tsrnet
cardiac and extracardiac discharge diagnosis prediction from emergency department ecgs using deep learning	ecg-mimic
a refining underlying information framework for speech enhancement	rui_se
frequency analysis and filter design for directed graphs with polar decomposition	ICASSP2024
wisegrt: dataset for site-specific indoor radio propagation modeling with 3d segmentation and differentiable ray-tracing	wisegrt

2023-12-18

paper	code
rtsnet: learning to smooth in partially known state-space models (preprint)	rtsnet_tsp
approaching globally optimal energy efficiency in interference networks via machine learning	ee
score-based data generation for eeg spatial covariance matrices: towards boosting bci performance	Tensor-CSPNet-and-Graph-CSPNet
dtp-net: learning to reconstruct eeg signals in time-frequency domain by multi-scale feature reuse	eeg-denoise
multi-stage learning for radar pulse activity segmentation	radseg
a novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification	dstf-sleepstaging
hypergraph-mlp: learning on hypergraphs without message passing	hypergraph-mlp
probabilistic learning of the purkinje network from the electrocardiogram	purkinje-learning
risk-aware continuous control with neural contextual bandits	risk_aware_contextual_bandit
srmac -- smoothed recursive moving average crossover for real-time systolic peak detection in photoplethysmography	SRMAC_peak_detector
understanding probe behaviors through variational bounds of mutual information	information_probing

2023-12-15

paper	code
qcm-sgm+: improved quantized compressed sensing with score-based generative models	qcs-sgm-plus
multi-task learning for radar signal characterisation	radchar
structure-preserving transformers for sequences of spd matrices	spdtransnet
score-based diffusion priors for multi-target detection	2d-mtd_diffusion
simulation-based evaluation of indoor positioning systems in connected aircraft cabins	ewgt_2023

2023-12-14

paper	code
fast variational block-sparse bayesian learning	fast-variational-block-sparse-bayesian-learning
annotating sleep states in children from wrist-worn accelerometer data using machine learning	ece381k-applied-ml-project
towards a geometric understanding of spatio temporal graph convolution networks	stg-gradcam
robust mri reconstruction by smoothed unrolling (smug)	smug_journal
learning to transmit with provable guarantees in wireless federated learning	wirelessfl-pdg

2023-12-13

paper	code
early stopping for deep image prior	early_stopping_for_dip
decentralized state estimation in a dimension-reduced linear regression	dtt
balancing summarization and change detection in graph streams	bsc

2023-12-12

paper	code
binary spatial random field reconstruction from non-gaussian inhomogeneous time-series observations	WarpedGaussianProcesses
domain invariant representation learning and sleep dynamics modeling for automatic sleep staging	dream
simpsi: a simple strategy to preserve spectral information in time series data augmentation	simpsi
ensemble kalman filtering-aided variational inference for gaussian process state-space models	gpssmproj
asf-yolo: a novel yolo model with attentional scale sequence fusion for cell instance segmentation	asf-yolo
robust graph neural network based on graph denoising	robust_gnn
a geometry-based stochastic wireless channel model using channel images	geostochasticchanmodel
quantifying & modeling multimodal interactions: an information decomposition framework	pid

2023-12-11

paper	code
robust single-shot 3d fluorescence imaging in scattering media with a simulator-trained neural network	sbrnet
assessing neural network representations during training using noise-resilient diffusion spectral entropy	DiffusionSpectralEntropy
on the regret of online coded caching	onlinecodedcaching

2023-12-08

paper	code
neural network based generation of a 1-dimensional stochastic field with turbulent velocity statistics	nn-turb
low-complexity subspace-descent over symmetric positive definite manifold	subspace_descent_over_SPD_manifold
a scalable and generalizable pathloss map prediction	pmnet

2023-12-07

paper	code
vicious classifiers: data reconstruction attack at inference time	vicious-classifiers
functional renormalization group for signal detection and stochastic ergodicity breaking	stochastic-signal-detection

2023-12-06

paper	code
distributed two-tier drl framework for cell-free network: association, beamforming and power allocation	dhdrl
spectral temporal graph neural network for massive mimo csi prediction	csi-prediction
faultformer: transformer-based prediction of bearing faults	faultformer
mains: a magnetic field aided inertial navigation system for indoor positioning	mainsvsmagekf

2023-12-05

paper	code
w-transformers : a wavelet-based transformer framework for univariate time series forecasting	w-transformer
ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices	stress
a generalized bandsplit neural network for cinematic audio source separation	bandit
fast and robust sparsity-aware block diagonal representation	frs-bdr
towards decentralized task offloading and resource allocation in user-centric mobile edge computing	ucmec-mmwave-fronthaul
augmenting channel charting with classical wireless source localization techniques	toa-aoa-augmented-channelcharting
model-free learning of two-stage beamformers for passive irs-aided network design	zosga-irs

2023-12-04

paper	code
deepjscc-l++: robust and bandwidth-adaptive wireless image transmission	deepjscc-lplusplus
isac 4d imaging system based on 5g downlink millimeter wave signal	ISAC_4D_IMaging
classification utility, fairness, and compactness via tunable information bottleneck and r'enyi measures	rfib-code
message-passing on hypergraphs: detectability, phase transitions and higher-order information	hypergraph-message-passing
algebra of nonlocal boxes and the collapse of communication complexity	algebra-of-boxes-code

2023-12-01

paper	code
2d signal estimation for sparse distributed target photon counting data	signal-estimation-sparse-data
balancing summarization and change detection in graph streams	bsc

2023-11-30

paper	code
zero-shot self-supervised learning for mri reconstruction	ZS-SSL
fast and expressive gesture recognition using a combination-homomorphic electromyogram encoder	com-hom-emg
rigorous dynamical mean field theory for stochastic gradient descent methods	rigorous-dynamical-mean-field-theory
quantifying the redundancy between prosody and text	quantifying-redundancy

2023-11-29

paper	code
foundations of user-centric cell-free massive mimo	cell-free-book

2023-11-28

paper	code
towards interpretable sleep stage classification using cross-modal transformers	cross-modal-transformer
a distributed block-split gibbs sampler with hypergraph structure for high-dimensional inverse problems	dsgs
optimal discrete beamforming of ris-aided wireless communications: an inner product maximization approach	RIS_Optimization
data augmentation for generating synthetic electrogastrogram time series	syegg
deda: deep directed accumulator	deda
robust joint estimation of galaxy redshift and spectral templates using online dictionary learning	bryanetal2023
mpcnn: a novel matrix profile approach for cnn-based sleep apnea classification	mpcnn-sleep-apnea
learning multi-frequency partial correlation graphs	bspcg
autoregressive language models for estimating the entropy of epic ehr audit logs	audit-log-lm

2023-11-27

paper	code
non-stationary transformers: exploring the stationarity in time series forecasting	Nonstationary_Transformers
single-shot quantum signal processing interferometry	qsp-interferometry
windformer:bi-directional long-distance spatio-temporal network for wind speed prediction	windformer
kernel-based tests for likelihood-free hypothesis testing	lfi

2023-11-23

paper	code
high-power and safe rf wireless charging: cautious deployment and operation	high_power_and_safe_wpt
applying dimensionality reduction as precursor to lstm-cnn models for classifying imagery and motor signals in ecog-based bcis	dim-reduction-with-cnn-lstm

2023-11-22

paper	code
ssvep-dan: a data alignment network for ssvep-based brain computer interfaces	ssvep-dan

2023-11-21

paper	code
rtsnet: learning to smooth in partially known state-space models	rtsnet_tsp
hkf: hierarchical kalman filtering with online learned evolution priors for adaptive ecg denoising	hkf_icassp23
outage performance and novel loss function for an ml-assisted resource allocation: an exact analytical framework	greedy-resource-allocation-outage-classification
source-free domain adaptation for ssvep-based brain-computer interfaces	sfda-ssvep-bci
estimation of entropy-regularized optimal transport maps between non-compactly supported measures	entropic-map

2023-11-20

paper	code
modeling and correcting bias in sequential evaluation	sequential-bias
temporally causal discovery tests for discrete time series and neural spike trains	github_temporal_causality

2023-11-17

paper	code
learning to reconstruct signals from binary measurements	ssbm

2023-11-16

paper	code
data-driven identification of parametric governing equations of dynamical systems using the signed cumulative distribution transform	PyTransKit
topology of surface electromyogram signals: hand gesture decoding on riemannian manifolds	geometryofsemg

2023-11-15

paper	code
cslp-ae: a contrastive split-latent permutation autoencoder framework for zero-shot electroencephalography signal conversion	cslp-ae

2023-11-14

paper	code
signal2image modules in deep neural networks for eeg classification	signal2image-modules-in-deep-neural-networks-for-eeg-classification
data-driven denoising of stationary accelerometer signals	MEMS-IMU-Denoising
hkf: hierarchical kalman filtering with online learned evolution priors for adaptive ecg denoising	hkf_icassp23
convolutional monge mapping normalization for learning on sleep data	convolutional-monge-mapping-normalization
alpcah: sample-wise heteroscedastic pca with tail singular value regularization	alpcah
successive linear approximation vbi for joint sparse signal recovery and dynamic grid parameters estimation	sla-vbi
learning rl-policies for joint beamforming without exploration: a batch constrained off-policy approach	safe-rl-deployment-for-5g
chatgpt in the context of precision agriculture data analytics	chatgpt-in-the-context-of-precision-agriculture-data-analytics
caster: a computer-vision-assisted wireless channel simulator for gesture recognition	testspectrogram

2023-11-13

paper	code
abs+ polar codes: exploiting more linear transforms on adjacent bits	abs-polar
in-context learning for mimo equalization using transformer-based sequence models	icl-equalization

2023-11-10

paper	code
principled pruning of bayesian neural networks through variational free energy minimization	principledpruningbnn
spectral cross-domain neural network with soft-adaptive threshold spectral enhancement	scdnn-ts
pay less but get more: a dual-attention-based channel estimation network for massive mimo systems with low-density pilots	dacen
eeg-dg: a multi-source domain generalization framework for motor imagery eeg classification	eeg-dg
uncertainty-aware bayes' rule and its applications	bayes-rule

2023-11-09

paper	code
exploring best practices for ecg signal processing in machine learning	ecg_augmentation
discerning and enhancing the weighted sum-rate maximization algorithms in communications	ratemax

2023-11-08

paper	code
score-based source separation with applications to digital communication signals	score_based_source_separation
classification of various types of damages in honeycomb composite sandwich structures using guided wave structural health monitoring	damage-classification-using-feature-engineering
the fairness stitch: unveiling the potential of model stitching in neural network de-biasing	the_fairness_stitch

2023-11-07

paper	code
gacs-korner common information variational autoencoder	common-vae
learn to categorize or categorize to learn? self-coding for generalized category discovery	infosieve

2023-11-06

paper	code
vehicular visible light positioning for collision avoidance and platooning: a survey	vehicular-vlp-simulations

2023-11-03

paper	code
exclusive group lasso for structured variable selection	exclusive-lasso
a ris-based vehicle doa estimation method with integrated sensing and communication system	passivedoa-isac-ris
representing edge flows on graphs via sparse cell complexes	edge-flow-cell-complexes
improving robustness via tilted exponential layer: a communication-theoretic perspective	texp_for_robustness

2023-11-02

paper	code
robust waveform design for integrated sensing and communication	robust-waveform
generating hsr bogie vibration signals via pulse voltage-guided conditional diffusion model	vgcdm

2023-11-01

paper	code
a multimodal sensing ring for quantification of scratch intensity	wearable_scratch_intensity
message passing meets graph neural networks: a new paradigm for massive mimo systems	amp_gnn
on the impact of control signaling in ris-empowered wireless communications	ris-control
energy-aware adaptive sampling for self-sustainability in resource-constrained iot devices	EcoTrack
efficient computation of the quantum rate-distortion function	efficient-qrd

2023-10-31

paper	code
ipdp: on partial dependence plots in dynamic modeling scenarios	ipdp-on-partial-dependence-plots-in-dynamic-modeling-scenarios
optimal status updates for minimizing age of correlated information in iot networks with energy harvesting sensors	RSS_algorithm
kernelized cumulants: beyond kernel mean embeddings	kernelized-cumulants
quantifying & modeling multimodal interactions: an information decomposition framework	pid
compression with bayesian implicit neural representations	combiner
exact optimality of communication-privacy-utility tradeoffs in distributed mean estimation	rrsc
boosting learning for ldpc codes to improve the error-floor performance	ldpc_error_floor
estimating the rate-distortion function by wasserstein gradient descent	wgd
learn to categorize or categorize to learn? self-coding for generalized category discovery	infosieve

2023-10-30

paper	code
novel models for multiple dependent heteroskedastic time series	stat40710

2023-10-27

paper	code
statistical component separation for targeted signal recovery in noisy mixtures	stat_comp_sep
path weight sampling: exact monte carlo computation of the mutual information between stochastic trajectories	pathweightsampling.jl
a neural collapse perspective on feature evolution in graph neural networks	gnn_collapse

2023-10-26

paper	code
learning bilinear models of actuated koopman generators from partially-observed trajectories	koopmangeneratorem

2023-10-25

paper	code
incremental measurement of structural entropy for dynamic graphs	incre-se

2023-10-24

paper	code
gasper: graph signal processing in r	SGWT-SURE
riscatter: unifying backscatter communication and reconfigurable intelligent surface	riscatter
learning informative representation for fairness-aware multivariate time-series forecasting: a group-based perspective	fairfor
distributed variational inference for online supervised learning	distributed-mapping
learning state-augmented policies for information routing in communication networks	state-augmeted-information-routing
federated learning compression designed for lightweight communications	fl_exps
quantum conformal prediction for reliable uncertainty quantification in quantum machine learning	quantum-cp
vontss: vmf based semi-supervised neural topic modeling with optimal transport	vONTSS
teleqna: a benchmark dataset to assess large language models telecommunications knowledge	teleqna

2023-10-23

paper	code
equivariant bootstrapping for uncertainty quantification in imaging inverse problems	equivariant_bootstrap
a lego-brick approach to coding for network communication	lego-brick

2023-10-20

paper	code
mutual information-based integrated sensing and communications: a wmmse framework	MI-based-WMMSE-ISAC-algorithm
semantic: semantic interference cancellation towards 6g wireless communications	SemantIC

2023-10-19

paper	code
compression with bayesian implicit neural representations	combiner
perceptual measurements, distances and metrics	perceptual_metric

2023-10-18

paper	code
removing structured noise with diffusion models	joint-diffusion
correlative information maximization: a biologically plausible approach to supervised deep neural networks without weight symmetry	Supervised-CorInfoMax

2023-10-17

paper	code
unique sparse decomposition of low rank matrices	Unique_Fac_of_Low_Rank
semi-supervised end-to-end learning for integrated sensing and communications	sslisac
autodeconj: a gpu accelerated imagej plugin for 3d light field deconvolution with optimal iteration numbers predicting	autodeconj
beyond normal: on the evaluation of mutual information estimators	bmi
the mixtures and the neural critics: on the pointwise mutual information profiles of fine distributions	bmi

2023-10-16

paper	code
learning rl-policies for joint beamforming without exploration: a batch constrained off-policy approach	safe-rl-deployment-for-5g
multi-sensor multi-scan radar sensing of multiple extended targets	di-gsncp-radar-sensing
revisiting minimum description length complexity in overparameterized models	mdl-complexity
task-aware distributed source coding under dynamic bandwidth	task-aware-distributed-source-coding

2023-10-13

paper	code
semantic-forward relaying: a novel framework towards 6g cooperative communications	Semantic_Forward
interpretable diffusion via information decomposition	info-decomp
fast search method for large polarization kernels	kernelbruteforcer

2023-10-12

paper	code
multi-kernel correntropy-based orientation estimation of imus: gradient descent methods	mc_gd_imu
ecg-qa: a comprehensive question answering dataset combined with electrocardiogram	ecg-qa
reconfigurable intelligent surfaces-enabled intra-cell pilot reuse in massive mimo systems	ris-pilot-reuse
brain age revisited: investigating the state vs. trait hypotheses of eeg-derived brain-age dynamics with deep learning	eeg-brain-age
uncovering ecg changes during healthy aging using explainable ai	ecg-aging
boosting learning for ldpc codes to improve the error-floor performance	ldpc_error_floor
functional renormalization group for signal detection and stochastic ergodicity breaking	stochastic-signal-detection

2023-10-11

paper	code
tiny-ppg: a lightweight deep neural network for real-time detection of motion artifacts in photoplethysmogram signals on edge devices	tiny-ppg
branched latent neural maps	blnm.jl
isac 4d imaging system based on 5g downlink millimeter wave signal	ISAC_4D_IMaging
s4sleep: elucidating the design space of deep-learning-based sleep stage classification models	s4sleep

2023-10-10

paper	code
neural vocoder is all you need for speech super-resolution	ssr_eval
voicefixer: a unified framework for high-fidelity speech restoration	voicefixer
distributed deep joint source-channel coding over a multiple access channel	deepjscc-noma
ontology-aware learning and evaluation for audio tagging	ontology-aware-audio-tagging
the first cadenza signal processing challenge: improving music for those with a hearing loss	task1
estimating conditional mutual information for dynamic feature selection	dime

2023-10-09

paper	code
link scheduling using graph neural networks	distgcn
a comprehensive indoor environment dataset from single-family houses in the us	bdl_data_1

2023-10-06

paper	code
accoustate: auto-annotation of imu-generated activity signatures under smart infrastructure	acconotate
conditional generative models for simulation of emg during naturalistic movements	biomime
learning and communications co-design for remote inference systems: feature length selection and transmission scheduling	impact-of-data-freshness-in-learning
procedural text mining with large language models	proc-tm

2023-10-05

paper	code
path weight sampling: exact monte carlo computation of the mutual information between stochastic trajectories	pathweightsampling.jl
on the financial consequences of simplified battery sizing models without considering operational details	community-battery-sizing-study
local max-entropy and free energy principles, belief diffusions and their singularities	topos

2023-10-04

paper	code
maximum likelihood based phase-retrieval using fresnel propagation forward models with optional constraints	phasetorch
rcs-yolo: a fast and high-accuracy object detector for brain tumor detection	rcs-yolo
multi-static isac in cell-free massive mimo: precoder design and privacy assessment	globecom2023
the representation jensen-shannon divergence	representationjsd

2023-10-03

paper	code
short-length ssvep data extension by a novel generative adversarial networks based framework	tegan
branched latent neural maps	blnm.jl
learning state-augmented policies for information routing in communication networks	state-augmeted-information-routing
an efficient algorithm for clustered multi-task compressive sensing	multics
revisiting minimum description length complexity in overparameterized models	mdl-complexity
minimising the expected posterior entropy yields optimal summary statistics	summaries
task-aware distributed source coding under dynamic bandwidth	task-aware-distributed-source-coding
age of information in slotted aloha with energy harvesting	aoi_slottedaloha_energyharvesting
mining java memory errors using subjective interesting subgroups with hierarchical targets	sca-miner

2023-10-02

paper	code
accelerated motion correction with deep generative diffusion models	motion_score_mri
learning large-scale mtp$_2$ gaussian graphical models via bridge-block decomposition	mtp2-bbd

2023-09-29

paper	code
motion-robust free-running cardiovascular mri	motion-robust-CMR
optimal receive filter design for misaligned over-the-air computation	filteraircomp
set learning for accurate and calibrated models	oko
geometry of sensitivity: twice sampling and hybrid clipping in differential privacy with optimal gaussian noise and application to deep learning	twice_sampling_and_hybrid_clipping
efficient computation of the quantum rate-distortion function	efficient-qrd

2023-09-28

paper	code
data-driven identification of parametric governing equations of dynamical systems using the signed cumulative distribution transform	PyTransKit
fully adaptive time-varying wave-shape model: applications in biomedical signal processing	tvwse
scaling representation learning from ubiquitous ecg with state-space models	tiles_ecg_model
investigating the changes in bold responses during viewing of images with varied complexity: an fmri time-series based analysis on human vision	fmri-time-series-classification

2023-09-27

paper	code
joint communication and computation framework for goal-oriented semantic communication with distortion rate resilience	drgo-semcom

2023-09-26

paper	code
a time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time	pytempscsp
toward reliable signals decoding for electroencephalogram: a benchmark study to eegnex	eegnex
mm-fi: multi-modal non-intrusive 4d human dataset for versatile wireless sensing	mmfi_dataset
ecg-qa: a comprehensive question answering dataset combined with electrocardiogram	ecg-qa
quantum and quantum-inspired stereographic k nearest-neighbour clustering	stereographic-quantum-embedding-clustering
functional graph contrastive learning of hyperscanning eeg reveals emotional contagion evoked by stereotype-based stressors	Functional-Graph-Contrastive-Learning-of-Hyperscanning-EEG
structure-preserving transformers for sequences of spd matrices	spdtransnet
bgf-yolo: enhanced yolov8 with multiscale attentional feature fusion for brain tumor detection	bgf-yolo
finding order in chaos: a novel data augmentation method for time series in contrastive learning	Finding_Order_in_Chaos
dnn-danm: a high-accuracy two-dimensional doa estimation method using practical ris	dnn-danm
single-antenna jammers in mimo-ofdm can resemble multi-antenna jammers	ofdm-jammer
partition and code: learning how to compress graphs	PnC
a truly concurrent semantics for reversible ccs	reversible-ccs-as-nets

2023-09-22

paper	code
deep sound-field denoiser: optically-measured sound-field denoising using deep neural network	deep-sound-field-denoiser
an f-ratio-based method for estimating the number of active sources in meg	fratio-based-method-for-source-enumeration
limitations in odour recognition and generalisation in a neuromorphic olfactory circuit	eplnetwork_imamcleland2020
a class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural network	CCQNet
dictionary attack on imu-based gait authentication	dictionaryattackonimugait
multimodal transformers for wireless communications: a case study in beam prediction	deepsense6g_tii
statistical mechanics of the maximum-average submatrix problem	Maximum-Average-Submatrix
quantum conformal prediction for reliable uncertainty quantification in quantum machine learning	quantum-cp

2023-09-21

paper	code
online learning of the transfer matrix of dynamic scattering media: wavefront shaping meets multidimensional time series	online_learning_tm
on the formation of min-weight codewords of polar/pac codes and its applications	Error-Coefficient-reduced-Polar-PAC-Codes
towards disentangling information paths with coded resnext	coded-resnext
stein variational guided model predictive path integral control: proposal and experiments with fast maneuvering vehicles	proj-svg_mppi

2023-09-20

paper	code
trajectory pmb filters for extended object tracking using belief propagation	trajectory-pmb-eot-bp
electrocardioguard: preventing patient misidentification in electrocardiogram databases through neural networks	electrocardioguard
a new method of modeling the multi-stage decision-making process of crt using machine learning with uncertainty quantification	crt_multistageml_uncertainty
mixed graph signal analysis of joint image denoising / interpolation	icassp24-joint
unsupervised speech enhancement with diffusion-based generative models	sgmse

2023-09-19

paper	code
frequency estimation using complex-valued shifted window transformer	spectral-super-resolution-swin
scaling the time and fourier domains to align periodically and their convolution	fxt
vontss: vmf based semi-supervised neural topic modeling with optimal transport	vONTSS

2023-09-18

paper	code
validation of the reference impedance in multiline calibration with stepped impedance standards	verification-multiline-trl-calibration
closed loop bci system for cybathlon 2020	GoPar
structure-preserving transformers for sequences of spd matrices	spdtransnet
transmusic: a transformer-aided subspace method for doa estimation with low-resolution adcs	transformer_music
gaussian processes with linear multiple kernel: spectrum design and distributed learning for multi-dimensional data	distributed-gsm
deep nonnegative matrix factorization with beta divergences	deep-kl-nmf-public
the multi-cluster fluctuating two-ray fading model	mftr-fading-channel-model

2023-09-15

paper	code
toward reliable signals decoding for electroencephalogram: a benchmark study to eegnex	eegnex
adaptive kalmannet: data-driven kalman filter with fast adaptation	adaptive-knet-icassp24
self-supervised blind source separation via multi-encoder autoencoders	self-supervised-bss-via-multi-encoder-ae
pypvroof: a python package for extracting the characteristics of rooftop pv installations using remote sensing data	pypvroof
a strong and simple deep learning baseline for bci mi decoding	eegsimpleconv
predicting survival time of ball bearings in the presence of censoring	ball-bearing-survival
a densenet-based method for decoding auditory spatial attention with eeg	asad_densenet

2023-09-14

paper	code
is channel estimation necessary to select phase-shifts for ris-assisted massive mimo?	ris-massive-mimo
a spectral analysis of graph neural networks on dense and sparse graphs	gnn_community_detection
nuv-doa: nuv prior-based bayesian sparse reconstruction with spatial filtering for super-resolution doa estimation	ICASSP24-NUV-DoA
bayesian topology inference on partially known networks from input-output pairs	inference_langevin
a worker-task specialization model for crowdsourcing: efficient inference and fundamental limits	dtype
multiple-access channel coding with non-signaling correlations	mac_ns_lp

2023-09-13

paper	code
task-oriented communication for multi-device cooperative edge inference	vddib-sr
reinforcement learning for supply chain attacks against frequency and voltage control	rl-cps-attacks
concurrent composition for interactive differential privacy with adaptive privacy-loss parameters	concurrent-composition
chebyshev particles	chebyshevparticles

2023-09-12

paper	code
hermes: hybrid error-corrector model with inclusion of external signals for nonstationary fashion time series	hermes
efficient and scalable parametric high-order portfolios design via the skew-t distribution	highOrderPortfolios
efficient ecg-based atrial fibrillation detection via parameterised hypercomplex neural networks	hypercomplexecg
task-oriented communication for edge video analytics	tocom-tem
physics-informed neural networks for prognostics and health management of lithium-ion batteries	PINN-Battery-Prognostics
audioldm: text-to-audio generation with latent diffusion models	AudioLDM
deep metric learning for the hemodynamics inference with electrocardiogram signals	ssldml
audioldm 2: learning holistic audio generation with self-supervised pretraining	AudioLDM2
ecg-based estimation of respiratory modulation of av nodal conduction during atrial fibrillation	ecg-based_estimation_of_respiratory_modulation_of_av_nodal_conduction_during_atrial_fibrillation
the information geometry of umap	info-geometry-umap
perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning	paq

2023-09-11

paper	code
data-driven classification of low-power communication signals by an unauthenticated user using a software-defined radio	jammingsdr
prista-net: deep iterative shrinkage thresholding network for coded diffraction patterns phase retrieval	prista-net

2023-09-08

paper	code
watch this space: securing satellite communication through resilient transmitter fingerprinting	SatIQ
dynamic causal graph convolutional network for traffic prediction	DCGCN

2023-09-07

paper	code
load modulation for backscatter communication: channel capacity and near-capacity schemes	backscatteratcapacity
manifold filter-combine networks	mfcn
distributed variational inference for online supervised learning	distributed-mapping
symmetric-reciprocal-match method for vector network analyzer calibration	srm-calibration
uncertainty quantification in deep learning based kalman filters	Uncertainty-extraction-in-Model-Based-DL
spherical and hyperbolic toric topology-based codes on graph embedding for ising mrf models: classical and quantum topology machine learning	classical-and-quantum-topology-ml-toric-spherical

2023-09-06

paper	code
generalized minimum error entropy for adaptive filtering	Generalized-minimum-error-entropy-for-robust-learning
towards efficient modeling and inference in multi-dimensional gaussian process state-space models	gpssmproj

2023-09-04

paper	code
validation of the reference impedance in multiline calibration with stepped impedance standards	verification-multiline-trl-calibration
neural augmented kalman filtering with bollinger bands for pairs trading	kalmanbot_icassp23
from prediction markets to interpretable collective intelligence	collective-intelligence-research

2023-09-01

paper	code
principled pruning of bayesian neural networks through variational free energy minimization	principledpruningbnn
phonmatchnet: phoneme-guided zero-shot keyword spotting for user-defined keywords	phonmatchnet
time-varying quasi-closed-phase analysis for accurate formant tracking in speech signals	ftrack

2023-08-31

paper	code
on low-rank trace regression under general sampling distribution	cv-impute

2023-08-30

paper	code
fundamentals of wobbling and hardware impairments-aware air-to-ground channel model	Wobbling-HI-Drones
towards domain generalization for ecg and eeg classification: algorithms and benchmarks	biodg
towards quantitative precision for ecg analysis: leveraging state space models, self-supervision and patient metadata	ssm_ecg
ridgeless regression with random features	ridgeless-regression-with-random-features

2023-08-29

paper	code
self-supervised scalable deep compressed sensing	scnet
a comparison of neural networks for wireless channel prediction	channel_prediction_dnn
on the statistical relation of ultra-reliable wireless and location estimation	localization-and-reliability-in-urllc
fast and low-memory compressive sensing algorithms for low tucker-rank tensor approximation from streamed measurements	leave_one_out_recovery
a spatially non-stationary fading channel model for simulation and (semi-) analytical study of elaa-mimo	non-stationary-fading-channel-model

2023-08-28

paper	code
early stopping for deep image prior	early_stopping_for_dip
arrhythmia classifier based on ultra-lightweight binary neural network	ecg_bnn_net
parameter-efficient learning for text-to-speech accent adaptation	PEL-TTS
a multi-dimensional deep structured state space approach to speech enhancement using small-footprint models	s4nd-u-net_speech_enhancement

2023-08-25

paper	code
quantized radio map estimation using tensor and deep generative models	Quantized-Radio-Map-Estimation-BTD-and-DGM
dh-ptam: a deep hybrid stereo events-frames parallel tracking and mapping system	dh-ptam

2023-08-24

paper	code
a thru-free multiline calibration	thru-free-multiline-calibration
compressed sensing: a discrete optimization approach	discretecompressedsensing.jl
iot data trust evaluation via machine learning	iot_datatrust_rwi
optimal linear precoder design for mimo-ofdm integrated sensing and communications based on bayesian cram'er-rao bound	isac-mimo-ofdm-wf
system identification using the signed cumulative distribution transform in structural health monitoring applications	PyTransKit

2023-08-23

paper	code
learning to learn graph topologies	l2g-neurips2021
tightly integrated motion classification and state estimation in foot-mounted navigation systems	filterbanks
graph neural network-enhanced expectation propagation algorithm for mimo turbo receivers	GNN-enhanced-EP-for-Turbo-MIMO
information content and maximum entropy of compartmental systems in equilibrium	entropy_and_complexity_in_eq

2023-08-22

paper	code
parallel faceted imaging in radio interferometry via proximal splitting (faceted hypersara): ii. code and real data proof of concept	faceted-hypersara
a unified multi-task semantic communication system for multimodal data	t-udeepsc
graph neural networks on spd manifolds for motor imagery classification: a perspective from the time-frequency analysis	Tensor-CSPNet-and-Graph-CSPNet
multidimensional graph neural networks for wireless communications	mdgnn
entropy estimation via uniformization	nfee
learning and communications co-design for remote inference systems: feature length selection and transmission scheduling	impact-of-data-freshness-in-learning

2023-08-21

paper	code
towards best practice of interpreting deep learning models for eeg-based brain computer interfaces	Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI
remote bio-sensing: open source benchmark framework for fair evaluation of rppg	rppg
swinjscc: taming swin transformer for deep joint source-channel coding	swinjscc

2023-08-17

paper	code
quaternary neural belief propagation decoding of quantum ldpc codes with overcomplete check matrices	quantum-neural-bp4-demo

2023-08-16

paper	code
selective noise suppression methods using random svpwm to shape the noise spectrum of pmsms	SNS-in-random-SVPWM
rigorous dynamical mean field theory for stochastic gradient descent methods	rigorous-dynamical-mean-field-theory

2023-08-15

paper	code
can we transfer noise patterns? a multi-environment spectrum analysis model using generated cases	cnst

2023-08-14

paper	code
collaborative learning with a drone orchestrator	collaborative-learning-with-a-drone-orchestrator
a thru-free multiline calibration	thru-free-multiline-calibration
unlocking the diagnostic potential of ecg through knowledge transfer from cardiac mri	mmcl-ecg-cmr
a law of data separation in deep learning	re-equi-sepa

2023-08-11

paper	code
cosys-airsim: a real-time simulation framework expanded for complex industrial applications	Cosys-AirSim
deep generative models for unsupervised delamination detection using guided waves	anovae-delamshm
audioldm 2: learning holistic audio generation with self-supervised pretraining	AudioLDM2
information decomposition reveals hidden high-order contributions to temporal irreversibility	fastdmf

2023-08-10

paper	code
emergence of the svd as an interpretable factorization in deep learning for inverse problems	descrambling-nn
low-complexity subspace-descent over symmetric positive definite manifold	subspace_descent_over_SPD_manifold
striking the right balance: three-dimensional ocean sound speed field reconstruction using tensor neural networks	tensor-neural-network

2023-08-09

paper	code
rtsnet: learning to smooth in partially known state-space models	rtsnet_tsp
quantum and quantum-inspired stereographic k nearest-neighbour clustering	stereographic-quantum-embedding-clustering

2023-08-08

paper	code
l-seqsleepnet: whole-cycle long sequence modelling for automatic sleep staging	l-seqsleepnet
successive pose estimation and beam tracking for mmwave vehicular communication systems	Fast-CFEAR-Radar-Odometry
branched latent neural operators	blno.jl
k-band: self-supervised mri reconstruction via stochastic gradient descent over k-space subsets	k-band

2023-08-07

paper	code
motion-robust free-running cardiovascular mri	motion-robust-CMR
design space exploration on efficient and accurate human pose estimation from sparse imu-sensing	dse-sparse-imu
differentiable adaptive short-time fourier transform with respect to the window length	dstft
multimodal indoor localisation in parkinson's disease for detecting medication use: observational pilot study in a free-living setting	Multihead-Dual-Convolutional-Self-Attention
differentiable short-time fourier transform with respect to the hop length	dstft
hypertension detection from high-dimensional representation of photoplethysmogram signals	hypertension_ppg
contrastive self-supervised learning based approach for patient similarity: a case study on atrial fibrillation detection from ppg signal	simsig

2023-08-03

paper	code
bayesian algorithms for kronecker-structured sparse vector recovery with application to irs-mimo channel estimation	journalkrosbl
can we transfer noise patterns? an multi-environment spectrum analysis model using generated cases	cnst
llms4ol: large language models for ontology learning	llms4ol

2023-08-02

paper	code
an integrated multi-time-scale modeling for solar irradiance forecasting using deep learning	LSTM_Solar_Forecasting
vit2eeg: leveraging hybrid pretrained vision transformers for eeg data	eegeyenet-vit
data augmentation of bridging the delay gap for dl-based massive mimo csi feedback	crnetaug
nystr"om $m$-hilbert-schmidt independence criterion	nystroem-mhsic

2023-08-01

paper	code
load modulation for backscatter communication: channel capacity and near-capacity schemes	backscatteratcapacity
matnilm: multi-appliance-task non-intrusive load monitoring with limited labeled data	matnilm
ultrasound image reconstruction with denoising diffusion restoration models	drus-v1
rcs-yolo: a fast and high-accuracy object detector for brain tumor detection	rcs-yolo
the representation jensen-shannon divergence	representationjsd
spherical and hyperbolic toric topology-based codes on graph embedding for ising mrf models: classical and quantum topology machine learning	Topology-Signal-Processing

2023-07-31

paper	code
dime: maximizing mutual information by a difference of matrix-based entropies	DiME
quantifying & modeling multimodal interactions: an information decomposition framework	pid

2023-07-28

paper	code
learning transfer operators by kernel density estimation	fpoperatorde

2023-07-27

paper	code
multi-target tracking with transferable convolutional neural networks	mtt
manifold filter-combine networks	mfcn
learning to design analog circuits to meet threshold specifications	circuit-synthesis

2023-07-26

paper	code
noise detection with spectator qubits and quantum feature engineering	QFEND
denoising noisy neural networks: a bayesian approach with compensation	NoisyNN
bounded simplex-structured matrix factorization: algorithms, identifiability and applications	bssmf.jl
a switching gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity	switching-gplfm
adaptive regularized zero-forcing beamforming in massive mimo with multi-antenna users	Adaptive-Regularized-Zero-Forcing-Beamforming-in-Massive-MIMO-with-Multi-Antenna-Users

2023-07-25

paper	code
nilm as a regression versus classification problem: the importance of thresholding	better_nilm
trumpets: injective flows for inference and inverse problems	trumpets
self-supervised learning for human activity recognition using 700,000 person-days of wearable data	ssl-wearables
deep injective prior for inverse scattering	scattering_injective_prior
self-supervised learning for time series analysis: taxonomy, progress, and prospects	Awesome-SSL4TS
deep unfolded simulated bifurcation for massive mimo signal detection	unfolded_simbif
remote bio-sensing: open source benchmark framework for fair evaluation of rppg	rppg
concept-based explainability for an eeg transformer model	tcav-bendr
in search of maximum non-overlapping codes	nono-codes

2023-07-24

paper	code
lrh-net: a multi-level knowledge distillation approach for low-resource heart network	lrh-net
successive linear approximation vbi for joint sparse signal recovery and dynamic grid parameters estimation	sla-vbi
transferability of convolutional neural networks in stationary learning tasks	mtt
adjacent-bits-swapped polar codes: a new code construction to speed up polarization	abs-polar

2023-07-21

paper	code
learning-based reconstruction of fri signals	LearningBasedFRI
multi-view self-supervised learning for multivariate variable-channel time series	multiview_ts_ssl
novel batch active learning approach and its application to synthetic aperture radar datasets	sar_bal
can information flows suggest targets for interventions in neural circuits?	ann-info-flow

2023-07-20

paper	code
dreamr: diffusion-driven counterfactual explanation for functional mri	dreamr
sionna rt: differentiable ray tracing for radio propagation modeling	diff-rt
genkl: an iterative framework for resolving label ambiguity and label non-conformity in web images via a new generalized kl divergence	genkl

2023-07-19

paper	code
on the convergence of inexact gradient descent with controlled synchronization steps	inexact-gradient-descent
propagation of linear uncertainties through multiline thru-reflect-line calibration	uncertainty-multiline-trl-calibration
implicit anatomical rendering for medical image segmentation with stochastic experts	morse
gaussian process deconvolution	gaussian-process-deconvolution
3dinvnet: a deep learning-based 3d ground-penetrating radar data inversion	3dinvnet
classification with incoherent kernel dictionary learning	incoherent-kernel-dictionary-learning
reduced kernel dictionary learning	rkdl
radar-stda: a high-performance spatial-temporal denoising autoencoder for interference mitigation of fmcw radars	rd_map_temporal_spatial_denoising_autoencoder
application of bert in wind power forecasting-teletraan's solution in baidu kdd cup 2022	kdd2022-baidu
deepcabac: a universal compression algorithm for deep neural networks	DeepCABAC

2023-07-18

paper	code
wifi based distance estimation using supervised machine learning	wifi-fingerprint
multi-target tracking with transferable convolutional neural networks	mtt
graph neural networks on spd manifolds for motor imagery classification: a perspective from the time-frequency analysis	Tensor-CSPNet-and-Graph-CSPNet
learning to reconstruct signals from binary measurements	ssbm
source-free domain adaptation with temporal imputation for time series data	mapu_sfda_ts
harpa: high-rate phase association with travel time neural fields	phase_association

2023-07-14

paper	code
semantic information recovery in wireless networks	sinfony
human biophysics as network weights: conditional generative models for dynamic simulation	biomime

2023-07-13

paper	code
b-har: an open-source baseline framework for in depth study of human activity recognition datasets and workflows	B-HAR
semi-device-dependent blind quantum tomography	blind-quantum-tomography
fundamental limits for sensor-based robot control	performance-limits

2023-07-12

paper	code
super-resolution radar imaging with sparse arrays using a deep neural network trained with enhanced virtual data	sparse-array-radar-imaging
tsdownsample: high-performance time series downsampling for scalable visualization	tsdownsample

2023-07-11

paper	code
grid-free mimo beam alignment through site-specific deep learning	dlgf
manifold filter-combine networks	mfcn
spoofing-resilient lidar-gps factor graph localization with chimera authentication	chimera_fgo
set learning for accurate and calibrated models	oko

2023-07-10

paper	code
deep optimal transport for domain adaptation on spd manifolds	deep-optimal-transport-for-domain-adaptation-on-spd-manifolds
avoiding post-processing with event-based detection in biomedical signals	eventnet
exact recovery of the support of piecewise constant images via total variation regularization	2023-support-recovery-tv

2023-07-07

paper	code
alpcah: sample-wise heteroscedastic pca with tail singular value regularization	alpcah
fast and multi-aspect mining of complex time-stamped event streams	cubescope
on the noise sensitivity of the randomized svd	randomized-svd-code

2023-07-06

paper	code
d'em'elange, d'econvolution et d'ebruitage conjoints d'un mod`ele convolutif parcimonieux avec d'erive instrumentale, par p'enalisation de rapports de normes ou quasi-normes liss'ees (pendantss)	pendantss
deep generation of heterogeneous networks	hgen
on probability shaping for 5g mimo wireless channel with realistic ldpc codes	on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes
conditional and residual methods in scalable coding for humans and machines	research
a neural collapse perspective on feature evolution in graph neural networks	gnn_collapse

2023-07-04

paper	code
propagation of linear uncertainties through multiline thru-reflect-line calibration	uncertainty-multiline-trl-calibration
towards domain generalization for ecg and eeg classification: algorithms and benchmarks	biodg
decision-oriented two-parameter fisher information sensitivity using symplectic decomposition	symplecticfishersensitivity
a lego-brick approach to coding for network communication	lego-brick
worth of knowledge in deep learning	worth_of_knowledge
engage: explanation guided data augmentation for graph representation learning	engage

2023-07-03

paper	code
learning bilinear models of actuated koopman generators from partially-observed trajectories	koopmangeneratorem
root tracking for rate-distortion: approximating a solution curve with higher implicit multivariate derivatives	rtrd

2023-06-30

paper	code
noise detection with spectator qubits and quantum feature engineering	QFEND
assessing the performance of 1d-convolution neural networks to predict concentration of mixture components from raman spectra	ramix
accurate pet reconstruction from reduced set of measurements based on gmm	accurate-pet-reconstruction-from-reduced-set-of-measurements-based-on-gmm
tokenization and the noiseless channel	tokenization-scorer

2023-06-29

paper	code
ai-generated incentive mechanism and full-duplex semantic communications for information sharing	semsharing
ecg-qa: a comprehensive question answering dataset combined with electrocardiogram	ecg-qa
understanding a version of multivariate symmetric uncertainty to assist in feature selection	package=msu
on graph uncertainty principle and eigenvector delocalization	uncertainty-delocalization
on information captured by neural networks: connections with memorization and generalization	aws-cv-unique-information

2023-06-28

paper	code
sinr: deconvolving circular sas images using implicit neural representations	csas_deconvolution_inr
data-driven blind synchronization and interference rejection for digital communication signals	scss_sync
on neural architectures for deep learning-based source separation of co-channel ofdm signals	scss_ofdmarchitecture
statistical component separation for targeted signal recovery in noisy mixtures	stat_comp_sep
llmzip: lossless text compression using large language models	LLMzip

2023-06-27

paper	code
openfwi: large-scale multi-structural benchmark datasets for seismic full waveform inversion	openfwi
binary spatial random field reconstruction from non-gaussian inhomogeneous time-series observations	WarpedGaussianProcesses
robust spatiotemporal traffic forecasting with reinforced dynamic adversarial training	rdat
cst-yolo: a novel method for blood cell detection based on improved yolov7 and cnn-swin transformer	CST-YOLO
folded polynomial codes for coded distributed $aa^\top$-type matrix multiplication	foldedpolynomialcodes
domain adaptive decision trees: implications for accuracy and fairness	domain-adaptive-trees
compression with bayesian implicit neural representations	combiner
recoil: parallel rans decoding with decoder-adaptive scalability	recoil

2023-06-26

paper	code
multi-task learning for radar signal characterisation	radchar
necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables	tigramite

2023-06-23

paper	code
signal inpainting from fourier magnitudes	inpainting-fourier

2023-06-22

paper	code
space-time design for deep joint source channel coding of images over mimo channels	st_jscc
high throughput open-source implementation of wi-fi 6 and wimax ldpc encoder and decoder	yaldpc

2023-06-21

paper	code
distributed set-based observers using diffusion strategies	distributed-set-based-observers-using-diffusion-strategies
scale dependencies and self-similar models with wavelet scattering spectra	scattering_spectra
decomposed linear dynamical systems (dlds) for learning the latent components of neural dynamics	dLDS-Discrete-Python-Model
data-driven denoising of stationary accelerometer signals	MEMS-IMU-Denoising
a neural-network framework for the design of individualised hearing-loss compensation	dnn-ha
tfn: an interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis	tfn
bayesian optimization of sampling densities in mri	bindings-nufft-pytorch
short-length ssvep data extension by a novel generative adversarial networks based framework	tegan
deep comparisons of neural networks from the eegnet family	bionic_apps
lora backscatter communications: temporal, spectral, and error performance analysis	lora-backscatter-performance-analysis
multiwave: multiresolution deep architectures through wavelet decomposition for multivariate time series prediction	multiwave
matnet: multi-level fusion and self-attention transformer-based model for multivariate multi-step day-ahead pv generation forecasting	matnet
duta-vc: a duration-aware typical-to-atypical voice conversion approach with diffusion probabilistic model	duta-vc
to fold or not to fold: graph regularized tensor train for visual data completion	graphttc
fdnet: focal decomposed network for efficient, robust and practical time series forecasting	fdnet
beyond normal: on the evaluation of mutual information estimators	bmi

2023-06-19

paper	code
super-resolution radar imaging with sparse arrays using a deep neural network trained with enhanced virtual data	sparse-array-radar-imaging

2023-06-16

paper	code
hierarchical dirichlet process based gamma mixture modelling for terahertz band wireless communication channels	DPGMM-Channel-Modelling
closed-form global optimization of beyond diagonal reconfigurable intelligent surfaces	optimization-of-bdris
diffusion-based conditional ecg generation with structured state space models	sssd-ecg
low-complexity steered response power mapping based on low-rank and sparse interpolation	lr-sp-int-srp
towards trustworthy seizure onset detection using workflow notes	eeg_robustness
two-way semantic transmission of images without feedback	TW-SemanticComm
safeguarding data in multimodal ai: a differentially private approach to clip training	dpclip

2023-06-14

paper	code
semantic information recovery in wireless networks	sinfony
deep demixing: reconstructing the evolution of network epidemics	Deep_demixing
binomial line cox processes: statistical characterization and applications in wireless network analysis	blcp

2023-06-13

paper	code
weight freezing: a regularization approach for fully connected layers with an application in eeg classification	weightfreezing
bayesian calibration of mems accelerometers	bayes_cal_paper
optimized gradient tracking for decentralized online learning	Optimized-Gradient-Tracking
ts-moco: time-series momentum contrast for self-supervised physiological representation learning	ts-moco
evaluating prompt-based question answering for object prediction in the open research knowledge graph	thesis_work

2023-06-12

paper	code
hrtf upsampling with a generative adversarial network using a gnomonic equiangular projection	hrtf-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection
correlative information maximization: a biologically plausible approach to supervised deep neural networks without weight symmetry	Supervised-CorInfoMax

2023-06-09

paper	code
validation of the reference impedance in multiline calibration with stepped impedance standards	verification-multiline-trl-calibration
an adaptive and robust deep learning framework for thz ultra-massive mimo channel estimation	FPN-OAMP-THz-Channel-Estimation
toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation	drca-mlhm
power allocation algorithms for massive mimo systems with multi-antenna users	Power-Allocation-Algorithms-for-Massive-MIMO-Systems-with-Multi-Antenna-Users
learning to maximize mutual information for dynamic feature selection	dynamic-selection
generic decoding of restricted errors	rest-dec

2023-06-08

paper	code
one-dimensional deep image prior for curve fitting of s-parameters from electromagnetic solvers	curvefitting-dip
model-based deep learning	mbdl_book
a measure of the complexity of neural representations based on partial information decomposition	nninfo
multimodal learning without labeled multimodal data: guarantees and applications	pid

2023-06-07

paper	code
lora backscatter communications: temporal, spectral, and error performance analysis	lora-backscatter-communications-temperal-spectral-and-error-performance-analysis
under-counted tensor completion with neural incorporation of attributes	undercounted-tensor-completion
deep learning from crowdsourced labels: coupled cross-entropy minimization, identifiability, and regularization	end-to-end-crowdsourcing
criteria tell you more than ratings: criteria preference-aware light graph convolution for effective multi-criteria recommendation	cpa-lgc-recbole
estimating conditional mutual information for dynamic feature selection	dime

2023-06-06

paper	code
adaptive whitening in neural populations with gain-modulating interneurons	frame_whitening
data augmentation for generating synthetic electrogastrogram time series	syegg
optimal resource allocation with delay guarantees for network slicing in disaggregated ran	paper-fgkcj-2023
fast and interpretable nonlocal neural networks for image denoising via group-sparse convolutional dictionary learning	groupcdl-tip
why we should report the details in subjective evaluation of tts more rigorously	subjectiveevaluation
subspacenet: deep learning-aided subspace methods for doa estimation	subspacenet
infoshape: task-based neural data shaping via mutual information	infoshape
admm-based detector for large-scale mimo code-domain noma systems	admm-based-detector-for-noma

2023-06-05

paper	code
swl-adapt: an unsupervised domain adaptation model with sample weight learning for cross-user wearable human activity recognition	SWL-Adapt
bayes-optimal limits in structured pca, and how to reach them	structured-pca-
probably anytime-safe stochastic combinatorial semi-bandits	passcsb

2023-06-02

paper	code
structural optimization of factor graphs for symbol detection via continuous clustering and machine learning	factor_graph_structural_opt
unearthing insights into mars: unsupervised source separation with limited data	insight_src_sep
conditionally strongly log-concave generative models	wcrg
graph neural networks-based user pairing in wireless communication systems	userpairing
on tilted losses in machine learning: theory and applications	TERM
outsourcing control requires control complexity	learningrequiresintinf

2023-06-01

paper	code
on the convergence of inexact gradient descent with controlled synchronization steps	inexact-gradient-descent
a hybrid quantum-classical approach based on the hadamard transform for the convolutional layer	icml2023-ht
variational $f$-divergence and derangements for discriminative mutual information estimation	fdime
recovering top-two answers and confusion probability in multi-choice crowdsourcing	toptwo
domain adaptive decision trees: implications for accuracy and fairness	domain-adaptive-trees
deepmad: mathematical architecture design for deep convolutional neural network	lightweight-neural-architecture-search
causal discovery for time series with constraint-based model and pmime measure	cd_for_ts_with_cbm_and_pmime

2023-05-31

paper	code
computational doob's h-transforms for online filtering of discretely observed diffusions	CompDoobTransform
invertible kernel pca with random fourier features	invertible_kernel_PCA
on the optimal recovery of graph signals	orofgraphsignals
e-panns: sound recognition using efficient pre-trained audio neural networks	e-panns
the representation jensen-r'enyi divergence	jensen-renyi-divergence
distributed inference over linear models using alternating gaussian belief propagation	FactorGraph.jl
structured model selection via $\ell_1-\ell_2$ optimization	nonconvexsparsecyclicrecovery
how does information bottleneck help deep learning?	information-bottleneck
ambient diffusion: learning clean distributions from corrupted data	ambient-diffusion

2023-05-30

paper	code
traffic simulator for multibeam satellite communication systems	Satellite-Traffic-Simulator
exploring self-attention mechanisms for speech separation	speechbrain
doubly-iterative sparsified mmse turbo equalization for otfs modulation	dismmse-turbo-equalizer-for-otfs
optimal resource allocation with delay guarantees for network slicing in disaggregated ran	paper-fgkcj-2023
pulse shape discrimination based on the tempotron: a powerful classifier on gpu	TempotronGPU
crisp: curriculum based sequential neural decoders for polar code family	neural_polar_decoder
diffusion model based posterior sampling for noisy linear inverse problems	dmps
dime: maximizing mutual information by a difference of matrix-based entropies	DiME
on probability shaping for 5g mimo wireless channel with realistic ldpc codes	on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes

2023-05-29

paper	code
modulate your spectrum in self-supervised learning	intl
the representation jensen-shannon divergence	representationjsd
computation of reliability statistics for finite samples of success-failure experiments	relistats

2023-05-26

paper	code
qcm-sgm+: improved quantized compressed sensing with score-based generative models	qcs-sgm-plus
emergency response person localization and vital sign estimation using a semi-autonomous robot mounted sfcw radar	radar-vitals-estimation

2023-05-25

paper	code
sliced-wasserstein on symmetric positive definite matrices for m/eeg signals	spdsw
slicertms: interactive real-time visualization of transcranial magnetic stimulation using augmented reality and deep learning	SlicerTMS
stochastic unrolled federated learning	fed-surf
infoshape: task-based neural data shaping via mutual information	infoshape
directed message passing based on attention for prediction of molecular properties	d-gats
selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata	empowered-nca-ii

2023-05-24

paper	code
extending conformal prediction to hidden markov models with exact validity via de finetti's theorem for markov chains	cp_hmm
cooperative channel capacity learning	CORTICAL
temporally causal discovery tests for discrete time series and neural spike trains	github_temporal_causality

2023-05-23

paper	code
gradient-based learning of discrete structured measurement operators for signal recovery	glodismo
machine learning-based csi feedback with variable length in fdd massive mimo	ml-based-csi-feedback
synthetic ecg signal generation using probabilistic diffusion models	augmentation-of-ecg-training-dataset-with-cgan
appliance detection using very low-frequency smart meter time series	ApplianceDetectionBenchmark
thraws: a novel dataset for thermal hotspots detection in raw sentinel-2 data	pyraws
deepjscc-l++: robust and bandwidth-adaptive wireless image transmission	deepjscc-lplusplus
classification utility, fairness, and compactness via tunable information bottleneck and r'enyi measures	rfib-code
commodity-specific triads in the dutch inter-industry production network	numetris
evaluating prompt-based question answering for object prediction in the open research knowledge graph	thesis_work

2023-05-22

paper	code
joint distribution of distance and angles in finite wireless networks	joint_pdf_dist_angles
grid-free harmonic retrieval and model order selection using deep convolutional neural networks	deepest-demo
parameter-efficient learning for text-to-speech accent adaptation	PEL-TTS
marginalized beam search algorithms for hierarchical hmms	mbs

2023-05-19

paper	code
neural network entropy (nneten): entropy-based eeg signal and chaotic time series classification, python package for nneten calculation	nneten
nonparametric two-sample testing by betting	nonparametric-testing-by-betting
a measure of the complexity of neural representations based on partial information decomposition	nninfo
synchronizing many filesystems in near linear time	algebraic-reconciler
deir: efficient and robust exploration through discriminative-model-based episodic intrinsic rewards	deir

2023-05-18

paper	code
pmnet: robust pathloss map prediction via supervised learning	pmnet
outage performance and novel loss function for an ml-assisted resource allocation: an exact analytical framework	greedy-resource-allocation-outage-classification
a modular and high-resolution time-frequency post-processing technique	Time-frequency-analysis
algorithms for boolean matrix factorization using integer programming	booleanmf
random edge coding: one-shot bits-back coding of large labeled graphs	random-edge-coding

2023-05-17

paper	code
on the convergence of inexact gradient descent with controlled synchronization steps	inexact-gradient-descent
policy evaluation in decentralized pomdps with belief sharing	decpomdp_policy_evaluation_w-belief_sharing
guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction	online_cp_urllc
phase retrieval via model-free power flow jacobian recovery	powerphaseretrieval.jl

2023-05-16

paper	code
locality sensitive hashing via mechanical behavior	mechhs
slicertms: interactive real-time visualization of transcranial magnetic stimulation using augmented reality and deep learning	SlicerTMS
accelerated algorithms for nonlinear matrix decomposition with the relu function	relu-nmd
adjacent-bits-swapped polar codes: a new code construction to speed up polarization	abs-polar
detection and mitigation of byzantine attacks in distributed training	aspis

2023-05-15

paper	code
transformers in time series: a survey	time-series-transformers-review
hierarchical bayesian modelling for knowledge transfer across engineering fleets via multitask learning	engineeringpatternrecognition
over-the-air computation with multiple receivers: a space-time approach	space-time-ota
active sensing for two-sided beam alignment and reflection design using ping-pong pilots	active-sensing-beam-alignment
improved upper and lower bounds on the capacity of the binary deletion channel	bdc_upper_bounds
learning to code on graphs for topological interference management	learning-to-code-on-graphs
adaptive and flexible model-based ai for deep receivers in dynamic channels	facilitating-adaptation-deep-receivers

2023-05-12

paper	code
resource allocation for text semantic communications	semantic-resource-allocation-S-SE-
a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part i: algorithm derivation	DASF_toolbox
a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part ii: convergence properties	DASF_toolbox

2023-05-11

paper	code
phaseaug: a differentiable augmentation for speech synthesis to simulate one-to-many mapping	phaseaug
spiking neural networks in the alexiewicz topology: a new perspective on analysis and error bounds	alexsnn

2023-05-10

paper	code
robust information bottleneck for task-oriented communication with digital modulation	Discrete-TaskOriented-JSCC
gaussian process deconvolution	gaussian-process-deconvolution
bistatic mimo radar sensing of specularly reflecting surfaces for wireless power transfer	bistatic-mimo-radar-sensing
3dinvnet: a deep learning-based 3d ground-penetrating radar data inversion	3dinvnet
randomized and exchangeable improvements of markov's, chebyshev's and chernoff's inequalities	randomized-markov

2023-05-09

paper	code
simple pooling front-ends for efficient audio classification	simpfs
selective noise suppression using random svpwm to shape the voltage spectrum	SNS-in-random-SVPWM
multi-scale transformer-based network for emotion recognition from multi physiological signals	EPiC-2023-ACII
unrolled architectures for high-throughput encoding of multi-kernel polar codes	polar-encoder-compiler

2023-05-08

paper	code
slurp! spectroscopy of liquids using robot pre-touch sensing	slurp_grasping
model-free reinforcement learning of semantic communication by stochastic policy gradient	sinfony
a thru-free multiline calibration	thru-free-multiline-calibration

2023-05-05

paper	code
conditional and residual methods in scalable coding for humans and machines	research

2023-05-03

paper	code
recurrences reveal shared causal drivers of complex time series	shrec

2023-05-02

paper	code
latent signal models: learning compact representations of signal evolution for improved time-resolved, multi-contrast mri	latent_signal_models_mrm_2022
modeling multivariate biosignals with graph neural networks and structured state space models	graphs4mer
point cloud forecasting as a proxy for 4d occupancy forecasting	4d-occ-forecasting
leveraging label non-uniformity for node classification in graph neural networks	label-non-uniformity-gnn
non-linear phase-retrieval algorithms for x-ray propagation-based phase-contrast tomography	phasetorch
multi-scale transformer-based network for emotion recognition from multi physiological signals	EPiC-2023-ACII

2023-05-01

paper	code
clnet: complex input lightweight neural network designed for massive mimo csi feedback	CLNet
scatterformer: locally-invariant scattering transformer for patient-independent multispectral detection of epileptiform discharges	scatterformer
information theory inspired pattern analysis for time-series data	entropypipeline
deepmad: mathematical architecture design for deep convolutional neural network	lightweight-neural-architecture-search

2023-04-28

paper	code
spiking neural network decision feedback equalization for im/dd systems	snn-dfe
self-dual hadamard bent sequences	hadamard_bent
randomized and exchangeable improvements of markov's, chebyshev's and chernoff's inequalities	randomized-markov

2023-04-27

paper	code
computationally-efficient initialisation of gps: the generalised variogram method	generalised-variogram-method
quantifying the impact of data characteristics on the transferability of sleep stage scoring models	transferability_sleep

2023-04-26

paper	code
data-driven modeling of noise time series with convolutional generative adversarial networks	noisegan
toward integrated sensing and communications in ieee 802.11bf wi-fi networks	sharpax

2023-04-25

paper	code
ultra lite convolutional neural network for fast automatic modulation classification in low-resource scenarios	ultra-lite-convolutional-neural-network-for-automatic-modulation-classification
energy-efficient cell-free massive mimo through sparse large-scale fading processing	sparse-lsfprocess-cfmmimo
score-based data generation for eeg spatial covariance matrices: towards boosting bci performance	Tensor-CSPNet-and-Graph-CSPNet
locality sensitive hashing via mechanical behavior	mechhs
identifying stochasticity in time-series with autoencoder-based content-aware 2d representation: application to black hole data	blackhole_1d_2d_label
a lightweight recurrent learning network for sustainable compressed sensing	csrn
model-free learning of optimal two-stage beamformers for passive irs-aided network design	zosga-irs

2023-04-24

paper	code
smoothed separable nonnegative matrix factorization	smoothed-separable-nmf
transformers in time series: a survey	time-series-transformers-review
an orchestration framework for open system models of reconfigurable intelligent surfaces	self-configuring-orchestration

2023-04-21

paper	code
outlier detection of vital sign trajectories from covid-19 patients	outlier-detection-recap-data
latent-kalmannet: learned kalman filtering for tracking from high-dimensional signals	latent_kalmannet_tsp

2023-04-20

paper	code
robust semantic communications with masked vq-vae enabled codebook	RobustSemanComm
entropy estimation via uniformization	nfee

2023-04-19

paper	code
tree-amp: compositional inference with tree approximate message passing	tramp
towards best practice of interpreting deep learning models for eeg-based brain computer interfaces	Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI
covid19 reproduction number: credibility intervals by blockwise proximal monte carlo samplers	OpSiMorE
a semi-supervised adaptive discriminative discretization method improving discrimination power of regularized naive bayes	Semi-supervised-Adaptive-Discriminative-Discretization-for-Naive-Bayes-classifier

2023-04-18

paper	code
random access protocol with channel oracle enabled by a reconfigurable intelligent surface	ris-random-access-channel-oracle
data-driven method for generating synthetic electrogastrogram time series	syegg
dimensionality collapse: optimal measurement selection for low-error infinite-horizon forecasting	naumer_dimensionality_2022.jl
learning to predict arbitrary quantum processes	learning-quantum-process

2023-04-17

paper	code
denoiser-based projections for 2-d super-resolution multi-reference alignment	denoiser_projection
cast: a toolchain for creating and characterizing realistic wireless network emulation scenarios	cast
online recognition of incomplete gesture data to interface collaborative robots	uc2017_classification
a byte sequence is worth an image: cnn for file fragment classification using bit shift and n-gram embeddings	byte2image
compressing multidimensional weather and climate data into neural networks	nncompression

2023-04-14

paper	code
neural network based generation of 1-dimensional stochastic fields with turbulent velocity statistics	nn-turb
square root lasso: well-posedness, lipschitz stability and the tuning trade off	srlasso_revolutions
eegmatch: learning with incomplete labels for semi-supervised eeg-based cross-subject emotion recognition	eegmatch
multi-kernel correntropy-based orientation estimation of imus: gradient descent methods	mc_gd_imu

2023-04-13

paper	code
olia: an open-source digital lock-in amplifier	olia
interpreting neural min-sum decoders	nams

2023-04-12

paper	code
self-stabilization: the implicit bias of gradient descent at the edge of stability	eos

2023-04-11

paper	code
real-time outdoor localization using radio maps: a deep learning approach	LocUNet
correlative information maximization based biologically plausible neural networks for correlated source separation	Biologically-Plausible-Correlative-Information-Maximization-for-Blind-Source-Separation
minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification	Network-Robustness-by-Kolmogorov-Complexity

2023-04-10

paper	code
a novel channel model for reconfigurable intelligent surfaces with consideration of polarization and switch impairments	matlab_ris_channelmodel
quantum conformal prediction for reliable uncertainty quantification in quantum machine learning	quantum-cp

2023-04-07

paper	code
optimal discrete beamforming of ris-aided wireless communications: an inner product maximization approach	RIS_Optimization
towards flexibility and interpretability of gaussian process state-space model	tgpssm
learning stage-wise gans for whistle extraction in time-frequency spectrograms	CompositeGAN_WhistleAugment

2023-04-06

paper	code
a semi-supervised adaptive discriminative discretization method improving discrimination power of regularized naive bayes	Semi-supervised-Adaptive-Discriminative-Discretization-for-Naive-Bayes-classifier
the optimality of word lengths. theoretical foundations and an empirical study	iql-research-project-21-22
visualizing quantum circuit probability -- estimating computational action for quantum program synthesis	qcircscape
reliability and latency analysis for wireless communication systems with a secret-key budget	secret-key-budget-ruin
randomized and exchangeable improvements of markov's, chebyshev's and chernoff's inequalities	randomized-markov

2023-04-05

paper	code
communication-efficient federated linear and deep generalized canonical correlation analysis	federated_max_var_gcca
attention-embedded quadratic network (qttention) for effective and interpretable bearing fault diagnosis	QCNN_for_bearing_diagnosis
autoencoder based iterative modeling and multivariate time-series subsequence clustering algorithm	abimca
time-space-frequency feature fusion for 3-channel motor imagery classification	tsff
arrhythmia classifier based on ultra-lightweight binary neural network	ecg_bnn_net

2023-04-04

paper	code
localizing unsynchronized sensors with unknown sources	xtdoa
modeling multivariate biosignals with graph neural networks and structured state space models	graphs4mer
guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction	online_cp_urllc
deep graph unfolding for beamforming in mu-mimo interference networks	unrolled-wmmse-for-mu-mimo
on the optimal recovery of graph signals	orofgraphsignals
multi-layer state evolution under random convolutional design	conv-ml-amp
amgc: adaptive match-based genomic compression algorithm	amgc

2023-04-03

paper	code
bounded simplex-structured matrix factorization: algorithms, identifiability and applications	bssmf.jl
far from asymptopia	atomicpriors.jl

2023-03-31

paper	code
spider-web generates coding algorithms with superior error tolerance and real-time information retrieval capacity	dnaspiderweb

2023-03-30

paper	code
urglq: an efficient covariance matrix reconstruction method for robust adaptive beamforming	robust-adaptive-beamforming-2022
deep reinforcement learning based joint downlink beamforming and ris configuration in ris-aided mu-miso systems under hardware impairments and imperfect csi	ris-miso-pda-deep-reinforcement-learning
lmda-net:a lightweight multi-dimensional attention network for general eeg-based brain-computer interface paradigms and interpretability	braindecode
a framework for control channels applied to reconfigurable intelligent surfaces	ris-control
folded polynomial codes for coded distributed $aa^\top$-type matrix multiplication	foldedpolynomialcodes

2023-03-29

paper	code
dictionary learning for the almost-linear sparsity regime	spectral_dict_learn
cosys-airsim: a real-time simulation framework expanded for complex industrial applications	Cosys-AirSim
transthoracic super-resolution ultrasound localisation microscopy of myocardial vasculature in patients	srussoftware
square root {lasso}: well-posedness, lipschitz stability and the tuning trade off	srlasso_revolutions
adjacent-bits-swapped polar codes: a new code construction to speed up polarization	abs-polar

2023-03-28

paper	code
wemac: women and emotion multi-modal affective computing dataset	wemac_dataset_speech_processing
unsupervised voice activity detection by modeling source and system information using zero frequency filtering	zff_vad
low-complexity blind parameter estimation in wireless systems with noisy sparse signals	blind_and_nonparametric_estimators
dimensionality collapse: optimal measurement selection for low-error infinite-horizon forecasting	naumer_dimensionality_2022.jl

2023-03-27

paper	code
latent signal models: learning compact representations of signal evolution for improved time-resolved, multi-contrast mri	latent_signal_models_mrm_2022

2023-03-24

paper	code
physical lidar simulation in real-time engine	Cosys-AirSim

2023-03-23

paper	code
sdoanet: an efficient deep learning-based doa estimation network for imperfect array	sdoanet
distributed two-tier drl framework for cell-free network: association, beamforming and power allocation	dhdrl
localization-based ofdm framework for ris-aided systems	ris-ofdm-loca-scheduling
orthogonal non-negative matrix factorization: a maximum-entropy-principle approach	mep-orthogonal-nmf

2023-03-22

paper	code
mean subtraction and mode selection in dynamic mode decomposition	msub_mdselect_dmd
probabilistic estimation of instantaneous frequencies of chirp signals	chirpgp
integration of physics-based and data-driven models for hyperspectral image unmixing	awesome-hyperspectral-image-unmixing
learning model-free robust precoding for cooperative multibeam satellite communications	2302_learning_beamforming_code

2023-03-21

paper	code
group-level brain decoding with deep learning	meg-group-decode
defending adversarial attacks on deep learning based power allocation in massive mimo using denoising autoencoders	dae_for_adv_attacks_in_mimo
modular model-based bayesian learning for uncertainty-aware and reliable deep mimo receivers	bayesian-learning-for-receivers
emc2-net: joint equalization and modulation classification based on constellation network	emc2net
adjacent-bits-swapped polar codes: a new code construction to speed up polarization	abs-polar
sionna: an open-source library for next-generation physical layer research	sionna
structured gradient descent for fast robust low-rank hankel matrix completion	hsgd
encoding, decoding, and causality between complex networks	analytic-relations-between-complex-networks-encoding-decoding-and-causality
sionna rt: differentiable ray tracing for radio propagation modeling	diff-rt

2023-03-20

paper	code
annealed langevin dynamics for massive mimo detection	langevin-mimo-detector

2023-03-17

paper	code
srmd: sparse random mode decomposition	sparserandommodedecomposition
pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes	pendantss
offline learning of closed-loop deep brain stimulation controllers for parkinson disease treatment	vlbm
synthetic ecg signal generation using probabilistic diffusion models	augmentation-of-ecg-training-dataset-with-cgan
text-to-ecg: 12-lead electrocardiogram synthesis conditioned on clinical text reports	text_to_ecg
tackling clutter in radar data -- label generation and detection using pointnet++	clutter-ds

2023-03-16

paper	code
dct-former: efficient self-attention with discrete cosine transform	dct-former-public
learning resilient radio resource management policies with graph neural networks	Resilient_RRM_GNN
flex-net: a graph neural network approach to resource management in flexible duplex networks	flex-net

2023-03-15

paper	code
phaseaug: a differentiable augmentation for speech synthesis to simulate one-to-many mapping	phaseaug
self-attention for enhanced oamp detection in mimo systems	self_attention_oamp_mimo
transition waste optimization for coded elastic computing	coded_elastic_computing

2023-03-14

paper	code
fundamentals of wobbling and hardware impairments-aware air-to-ground channel model	Wobbling-HI-Drones
a neural-network framework for the design of individualised hearing-loss compensation	dnn-ha
exploiting temporal structures of cyclostationary signals for data-driven single-channel source separation	scss_csgaussian
graph neural networks on spd manifolds for motor imagery classification: a perspective from the time-frequency analysis	Tensor-CSPNet-and-Graph-CSPNet
efficient ecg-based atrial fibrillation detection via parameterised hypercomplex neural networks	hypercomplexecg
assessing gender fairness in eeg-based machine learning detection of parkinson's disease: a multi-center study	multicentric-ml-parkinson-detection
challenges facing the explainability of age prediction models: case study for two modalities	challenges-xai-aging-aaai23
securing data in multimode fibers by exploiting mode-dependent light propagation effects	mmf-physec

2023-03-13

paper	code
neonatal eeg graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy	downsample_open_eeg
sliced-wasserstein on symmetric positive definite matrices for m/eeg signals	Sliced-Wasserstein_on_Symmetric_Positive_Definite_Matrices
eeg synthetic data generation using probabilistic diffusion models	eeg-diffusion-pytorch
wigner distribution deconvolution adaptation for live ptychography reconstruction	livewdd

2023-03-10

paper	code
adaptive decoding mechanisms for uav-enabled double-uplink coordinated noma	uav-noma-adm
invertible kernel pca with random fourier features	invertible_kernel_PCA
a classification of s-boxes generated by orthogonal cellular automata	orthogonal-ca-sboxes
statistical mechanics of the maximum-average submatrix problem	Maximum-Average-Submatrix

2023-03-09

paper	code
covid19 reproduction number: credibility intervals by blockwise proximal monte carlo samplers	OpSiMorE
neural collapse with normalized features: a geometric analysis over the riemannian manifold	normalized-neural-collapse
grid-free harmonic retrieval and model order selection using deep convolutional neural networks	deepest-demo
nonlinear kalman filtering with reparametrization gradients	nonkf_energy_minimization

2023-03-08

paper	code
large graph signal denoising with application to differential privacy	dp-graph-denoising
unsupervised particle sorting for cryo-em using probabilistic pca	particle_sorting
bit error and block error rate training for ml-assisted communication	bler_training
fast fullsubnet: accelerate full-band and sub-band fusion model for single-channel speech enhancement	fullsubnet
a comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection	mimo_jcesd
a switching gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity	switching-gplfm

2023-03-07

paper	code
few-shot domain adaptation for end-to-end communication	domain-adaptation-autoencoder
a stochastic approximate expectation-maximization for structure determination directly from cryo-em micrographs	stochastic-approximate-em-for-cryo-em
data-driven method for generating synthetic electrogastrogram time series	syegg
synthetic ecg signal generation using probabilistic diffusion models	augmentation-of-ecg-training-dataset-with-cgan
searching for effective neural network architectures for heart murmur detection from phonocardiogram	cinc2022
deepmad: mathematical architecture design for deep convolutional neural network	lightweight-neural-architecture-search
on probabilistic qam shaping for 5g mimo wireless channel with realistic ldpc codes	on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes
rotation invariant quantization for model compression	riq

2023-03-06

paper	code
graph neural networks for distributed power allocation in wireless networks: aggregation over-the-air	gnn-aggregation-over-the-air
towards v2i age-aware fairness access: a dqn based intelligent vehicular node training and test method	age-fairness
distributed deep joint source-channel coding over a multiple access channel	deepjscc-noma
enhancing multivariate time series classifiers through self-attention and relative positioning infusion	timeseriesclassification-tps
quantized radio map estimation using tensor and deep generative models	Quantized-Radio-Map-Estimation-BTD-and-DGM

2023-03-03

paper	code
signal inpainting from fourier magnitudes	inpainting-fourier
distributed adaptive norm estimation for blind system identification in wireless sensor networks	icassp2023-adapt-dist-avg
pay less but get more: a dual-attention-based channel estimation network for massive mimo systems with low-density pilots	dacen
learning transfer operators by kernel density estimation	fpoperatorde
the greedy side of the lasso: new algorithms for weighted sparse recovery via loss function-based orthogonal matching pursuit	greedy_lasso_womp

2023-03-02

paper	code
nnsvs: a neural network-based singing voice synthesis toolkit	nnsvs
point cloud forecasting as a proxy for 4d occupancy forecasting	4d-occ-forecasting
information plane analysis for dropout neural networks	ip_dropout

2023-03-01

paper	code
implementation of dnn based data detector for qpsk systems	qpsk_sdr_dnn_detector
brainbert: self-supervised representation learning for intracranial recordings	brainbert
robust one-shot estimation over shared networks in the presence of denial-of-service attacks	ieee-tac2023

2023-02-28

paper	code
compressing multisets with large alphabets using bits-back coding	multiset-compression
hybrid far- and near-field channel estimation for thz ultra-massive mimo via fixed point networks	FPN-OAMP-THz-Channel-Estimation
learned robust pca: a scalable deep unfolding approach for high-dimensional outlier detection	lrpca

2023-02-27

paper	code
evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism	deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals
a ris-based vehicle doa estimation method with integrated sensing and communication system	passivedoa-isac-ris

2023-02-24

paper	code
information fragmentation, encryption and information flow in complex biological networks	fragmentation_replication_instructions
nonparametric two-sample testing by betting	nonparametric-testing-by-betting
bayesian estimation of information-theoretic metrics for sparsely sampled distributions	info-metric-estimation
information theory inspired pattern analysis for time-series data	entropypipeline
rna secondary structures: from ab initio prediction to better compression, and back	joint-rna-compression
quantifying & modeling feature interactions: an information decomposition framework	pid

2023-02-23

paper	code
estimating total correlation with mutual information estimators	tc-estimation
unsourced multiple access with random user activity	uma_random_user_activity

2023-02-22

paper	code
power scaling laws and near-field behaviors of massive mimo and intelligent reflecting surfaces	near-field-behavior
lightweight and high-fidelity end-to-end text-to-speech with multi-band generation and inverse short-time fourier transform	mb-istft-vits
versatile neural processes for learning implicit neural representations	versatile-np
energy-efficient blockchain-enabled user-centric mobile edge computing	blockchain-enabled-ucmec
joint optimization of base station clustering and service caching in user-centric mec	jo-cdsd
a local machine learning approach for fingerprint-based indoor localization	-a-local-machine-learning-approach-for-fingerprint-based-indoor-localization
scalable infomin learning	infomin

2023-02-21

paper	code
bolt: fused window transformers for fmri time series analysis	bolt
towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed pv mapping	deeppvmapper
quantized compressed sensing with score-based generative models	qcs-sgm
incipient fault detection in power distribution system: a time-frequency embedded deep learning based approach	AD-TFM-AT-Model
implementation of dnn based data detector for qpsk systems	qpsk_sdr_dnn_detector
a dnn based normalized time-frequency weighted criterion for robust wideband doa estimation	dnnnormtimefreq4doa
overparameterized relu neural networks learn the simplest models: neural isometry and exact recovery	neural-recovery
synchronizing many filesystems in near linear time	algebraic-reconciler
nystr"om $m$-hilbert-schmidt independence criterion	nystroem-mhsic

2023-02-20

paper	code
mm-alt: a multimodal automatic lyric transcription system	MM_ALT
sensefi: a library and benchmark on deep-learning-empowered wifi human sensing	wifi-csi-sensing-benchmark
detecting non-overlapping signals with dynamic programming	Signal-detection-with-dynamic-programming
calibration and uncertainty characterization for ultra-wideband two-way-ranging measurements	uwb_calibration
real-time wireless ecg-derived respiration rate estimation using an autoencoder with a dct layer	icassp2023-ae-dct
cell-free isac mimo systems: joint sensing and communication beamforming	Cell-free-ISAC-beamforming
audioldm: text-to-audio generation with latent diffusion models	audioldm_eval
propagation measurements and analyses at 28 ghz via an autonomous beam-steering platform	SPAVE-28G
deep comparisons of neural networks from the eegnet family	bionic_apps
smart 6g sky for green mobile iot networks	smart-6g-sky-for-green-mobile-iot-networks
ultra-marginal feature importance: learning from data with causal guarantees	umfi
raw radar data based object detection and heading estimation using cross attention	crossattention_radar_detector
consistent diffusion models: mitigating sampling drift by learning to be consistent	cdm

2023-02-17

paper	code
a ris-based vehicle doa estimation method with integrated sensing and communication system	passivedoa-isac-ris
stimulus-informed generalized canonical correlation analysis of stimulus-following brain responses	si-gcca
pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes	pendantss
selective noise suppression in random svpwm to shape the voltage and current spectrum	SNS-in-random-SVPWM
a millimeter-wave software-defined radio for wireless experimentation	mmwavesdr

2023-02-16

paper	code
deep learning for hybrid beamforming with finite feedback in gsm aided mmwave mimo systems	gsmefbnet
guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction	online_cp_urllc

2023-02-15

paper	code
towards interpretable sleep stage classification using cross-modal transformers	cross-modal-transformer
enhancing multivariate time series classifiers through self-attention and relative positioning infusion	timeseriesclassification-tps
a novel poisoned water detection method using smartphone embedded wi-fi technology and machine learning algorithms	poisoned_water_detection
context query simulation for smart carparking scenarios in the melbourne cdb	context-query-simulator

2023-02-14

paper	code
self-supervised eeg representation learning for automatic sleep staging	contrawr
transformers in time series: a survey	time-series-transformers-review
online meta-learning for hybrid model-based deep receivers	metadeepsic
probabilistic estimation of instantaneous frequencies of chirp signals	chirpgp
software-defined mimo ofdm joint radar-communication platform with fully digital mmwave architecture	gr-mimo-ofdm-jrc
fundamental limits for sensor-based robot control	performance-limits
crc-aided learned ensembles of belief-propagation polar decoders	polar-ensembles
efficient integer retrieving from unordered compressed sequences	directaccess

2023-02-13

paper	code
coordinated sum-rate maximization in multicell mu-mimo with deep unrolling	gcnwmmse
binomial line cox processes: statistical characterization and applications in wireless network analysis	blcp

2023-02-10

paper	code
offline learning of closed-loop deep brain stimulation controllers for parkinson disease treatment	vlbm
channelformer: attention based neural solution for wireless channel estimation and effective online training	Channelformer
software tools for decoding quantum low-density parity check codes	qecc
trading information between latents in hierarchical variational autoencoders	hit

2023-02-09

paper	code
multimodal representation learning using deep multiset canonical correlation	mica-deep-mcca
evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism	deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals
astride: adaptive symbolization for time series databases	astride
policy evaluation in decentralized pomdps with belief sharing	decpomdp_policy_evaluation_w-belief_sharing
a vector quantized approach for text to speech synthesis on real-world spontaneous speech	mqtts

2023-02-08

paper	code
dct-former: efficient self-attention with discrete cosine transform	dct-former-public
unsupervised multimodal change detection based on structural relationship graph representation learning	srgcae
identification of power system oscillation modes using blind source separation based on copula statistic	hobmi

2023-02-07

paper	code
maestro-x: distributed orchestration of rotary-wing uav-relay swarms	MAESTRO-X
efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)	Bjork
a covariant, discrete time-frequency representation tailored for zero-based signal detection	kravchuk-transform-and-its-zeros
graph-based sequential beamforming	sequentialvariationalbayesdoa
achieving robust generalization for wireless channel estimation neural networks by designed training data	ICC_2023
modular model-based bayesian learning for uncertainty-aware and reliable deep mimo receivers	bayesian-learning-for-receivers

2023-02-06

paper	code
load modulation for backscatter communication: channel capacity and capacity-approaching finite constellations	backscatteratcapacity
enhancing deep learning performance of massive mimo csi feedback	jpts
low-complexity precoding for extremely large-scale mimo over non-stationary channels	Low-complexity-precoding-algorithm-for-XL-MIMO
self-supervised enhancement of stimulus-evoked brain response data	shift_detection_icassp2023

2023-02-03

paper	code
closed loop bci system for cybathlon 2020	GoPar
exposing the csi: a systematic investigation of csi-based wi-fi sensing capabilities and limitations	exposing-the-csi
neural estimation of the rate-distortion function with applications to operational source coding	nerd-rcc
inductive graph transformer for delivery time estimation	igt-wsdm23

2023-02-02

paper	code
source detection via multi-label classification	Signal_detector

2023-02-01

paper	code
recurrences reveal shared causal drivers of complex time series	shrec
bayesian estimation of information-theoretic metrics for sparsely sampled distributions	info-metric-estimation

2023-01-31

paper	code
chaos as an interpretable benchmark for forecasting and data-driven modelling	dysts
beyond hawkes: neural multi-event forecasting on spatio-temporal point processes	neural-spatio-temporal-probabilistic-transformers
versatile neural processes for learning implicit neural representations	versatile-np
audioldm: text-to-audio generation with latent diffusion models	audioldm_eval
kernelized cumulants: beyond kernel mean embeddings	kernelized-cumulants

2023-01-30

paper	code
digital twin-based multiple access optimization and monitoring via model-driven bayesian learning	bayesian-dt
smile: robust network localization via sparse and low-rank matrix decomposition	smile-network-localization

2023-01-27

paper	code
flex-net: a graph neural network approach to resource management in flexible duplex networks	flex-net

2023-01-26

paper	code
an inertial block majorization minimization framework for nonsmooth nonconvex optimization	TITAN
a framework of inertial alternating direction method of multipliers for non-convex non-smooth optimization	iADMM
partial identifiability for nonnegative matrix factorization	nmf-partial-identifiability
high-throughput rate-flexible combinational decoders for multi-kernel polar codes	polar-compiler

2023-01-25

paper	code
deep task-based analog-to-digital conversion	adc-learning-hyperopt
autoencoder-based joint communication and sensing of multiple targets	JCAS_multitarg
spectral cross-domain neural network with soft-adaptive threshold spectral enhancement	scdnn-ts
weighted sum-rate maximization with causal inference for latent interference estimation	research-weighted-sum-rate

2023-01-24

paper	code
propagation of linear uncertainties through multiline thru-reflect-line calibration	uncertainty-multiline-trl-calibration
energy prediction using federated learning	energy_prediction

2023-01-23

paper	code
source-free subject adaptation for eeg-based visual recognition	Deep-BCI

2023-01-20

paper	code
emergence of the svd as an interpretable factorization in deep learning for inverse problems	descrambling-nn

2023-01-19

paper	code
learning task-oriented communication for edge inference: an information bottleneck approach	VL-VFE
descod-ecg: deep score-based diffusion model for ecg baseline wander and noise removal	score-based-ecg-denoising
digital twin-based multiple access optimization and monitoring via model-driven bayesian learning	bayesian-dt
pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes	pendantss
sen2dwater: a novel multispectral and multitemporal dataset and deep learning benchmark for water resources analysis	impact-of-climate-change-on-water-resources

2023-01-18

paper	code
q-eegnet: an energy-efficient 8-bit quantized parallel eegnet implementation for edge motor-imagery brain--machine interfaces	q-eegnet
k-deep simplex: deep manifold learning via local dictionaries	manifold-learning-with-simplex-constraints
model-based and graph-based priors for group testing	priors_group_testing
semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation	audio-samples2
self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis	EEG-CGS
stimulus-informed generalized canonical correlation analysis of stimulus-following brain responses	si-gcca
stratified multivariate multiscale dispersion entropy for physiological signal analysis	smvmde
crc-aided learned ensembles of belief-propagation polar decoders	polar-ensembles

2023-01-17

paper	code
mical: mutual information-based cnn-aided learned factor graphs for seizure detection from eeg signals	cnn-aided-factor-graphs-with-estimated-mutual-information-features-for-seizure-detection-mical

2023-01-16

paper	code
imitation learning-based implicit semantic-aware communication networks: multi-layer representation and collaborative reasoning	irml

2023-01-13

paper	code
automated sleep staging via parallel frequency-cut attention	transformer_sleep
grant-free random access of iot devices in massive mimo with partial csi	grant-free-random-access-partial-csi
a stochastic optimization framework for fair risk minimization	FERMI

2023-01-12

paper	code
da-music: data-driven doa estimation via deep augmented music algorithm	tvt23

2023-01-11

paper	code
bayesian active meta-learning for few pilot demodulation and equalization	bayesian_active_meta_learning
mixcycle: unsupervised speech separation via cyclic mixture permutation invariant training	mixcycle
learning representations for new sound classes with continual self-supervised learning	cssl_sound
multiple-access channel coding with non-signaling correlations	mac_ns_lp

2023-01-10

paper	code
physfad: physics-based end-to-end channel modeling of ris-parametrized environments with adjustable fading	physfad
principal component analysis in space forms	HoroPCA
deep injective prior for inverse scattering	scattering_injective_prior
unsupervised multivariate time-series transformers for seizure identification on eeg	eeg_mvts
the entropy rate of linear additive markov processes	LAMPEntropyEstimates

2023-01-09

paper	code
expanding boundaries of gap safe screening	kl_screening

2023-01-06

paper	code
frequency-dependent f-number increases the contrast and the spatial resolution in fast pulse-echo ultrasound imaging	f_number

2023-01-05

paper	code
pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes	pendantss

2023-01-04

paper	code
multiscale adaptive scheduling and path-planning for power-constrained uav-relays via smdps	MAESTRO-X
anxolotl, an anxiety companion app -- stress detection	cfp-workshop-and-challenge-wellbeing
moreau-yosida $f$-divergences	moreau-yosida-f-divergences

2023-01-03

paper	code
bayesian active meta-learning for few pilot demodulation and equalization	bayesian_active_meta_learning
rtsnet: learning to smooth in partially known state-space models	rtsnet_tsp
deep learning of near field beam focusing in terahertz wideband massive mimo systems	nfwb_bf
learn to rapidly and robustly optimize hybrid precoding	learn-to-rapidly-optimize-hybrid-precoding
fusing models for prognostics and health management of lithium-ion batteries based on physics-informed neural networks	PINN-Battery-Prognostics
learning to maximize mutual information for dynamic feature selection	dynamic-selection
data-driven optimization of directed information over discrete alphabets	discrete_di_optimization

2023-01-02

paper	code
efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)	Bjork
semantic communications with discrete-time analog transmission: a papr perspective	semanticpapr
power control for 6g industrial wireless subnetworks: a graph neural network approach	Power_Control_GNN
sheaf-theoretic self-filtering network of low-cost sensors for local air quality monitoring: a causal approach	AirSheaf
similarity-based predictive maintenance framework for rotating machinery	similarity-based-predictive-maintenance-framework-for-rotating-machinery
lab-scale vibration analysis dataset and baseline methods for machinery fault diagnosis with machine learning	vbl-va001

2022-12-29

paper	code
clock and orientation-robust simultaneous radio localization and mapping at millimeter wave bands	castro-5g
ecg-based electrolyte prediction: evaluating regression and probabilistic methods	ecg-electrolyte-regression
a low multiplicative complexity fast recursive dct-2 algorithm	Fast_recursive_DCT

2022-12-27

paper	code
permutation matrix modulation	permutation-matrix-modulation
recovery of missing sensor data by reconstructing time-varying graph signals	EUSIPCO_22_Sobolev
link-level simulator for 5g localization	5G_Positioning_Link_Level_Simulator%20v1.0.rar
doubly transitive lines ii: almost simple symmetries	2-tran-II

2022-12-26

paper	code
neonatal eeg graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy	downsample_open_eeg
spectral subspace dictionary learning	spectral_dict_learn
deep unfolding-based weighted averaging for federated learning under heterogeneous environments	deepunfolding-based-fl

2022-12-23

paper	code
electromagnetic based communication model for dynamic metasurface antennas	dma_model

2022-12-22

paper	code
rhombic grids reduce the number of voxels in fast pulse-echo ultrasound imaging	rhombic_grids
anticancer peptides classification using kernel sparse representation classifier	acp-kernel-src
nestanets: stable, accurate and efficient neural networks for analysis-sparse inverse problems	as-nesta-net

2022-12-21

paper	code
beats: an open-source, high-precision, multi-channel eeg acquisition tool system	beats
joint network topology inference via a shared graphon model	jointinf_graphs_graphon

2022-12-20

paper	code
enhancement of a state-of-the-art rl-based detection algorithm for massive mimo radars	improved_rl_algorithm_mmimo_radar
openran gym: ai/ml development, data collection, and testing for o-ran on pawr platforms	colosseum-near-rt-ric
fast fullsubnet: accelerate full-band and sub-band fusion model for single-channel speech enhancement	FullSubNet

2022-12-19

paper	code
deep learning and its applications to wifi human sensing: a benchmark and a tutorial	wifi-csi-sensing-benchmark
simulating road spray effects in automotive lidar sensor models	reflection_based_lidar_object_model

2022-12-16

paper	code
a quaternion-valued variational autoencoder	QVAE
l3das21 challenge: machine learning for 3d audio signal processing	L3DAS21
l3das22 challenge: learning 3d audio sources in a real office environment	l3das22
state-augmented learnable algorithms for resource management in wireless networks	stateaugmented_rrm_gnn
duidd: deep-unfolded interleaved detection and decoding for mimo wireless systems	duidd

2022-12-15

paper	code
do not sleep on traditional machine learning: simple and interpretable techniques are competitive to deep learning for sleep scoring	sleep-linear
self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis	EEG-CGS
network coding: an optimization approach	network_codes

2022-12-14

paper	code
learning representations for new sound classes with continual self-supervised learning	cssl_sound
artificial intelligence enabled noma towards next generation multiple access	ai_noma

2022-12-13

paper	code
federated learning via plurality vote	fedvote
deep, deep learning with bart	deep-deep-learning-with-bart
autofi: towards automatic wifi human sensing via geometric self-supervised learning	wifi-csi-sensing-benchmark
spectral efficiency analysis of uplink-downlink decoupled access in c-v2x networks	Spectral-Efficiency-Analysis-of-Uplink-Downlink-Decoupled-Access-in-C-V2X-Networks
max filtering with reflection groups	reflection-groups

2022-12-12

paper	code
model-based and graph-based priors for group testing	priors_group_testing
deep conv-attention model for diagnosing left bundle branch block from 12-lead electrocardiograms	dilated_conv_attention.ipynb
symbol-level grand for high-order modulation over flat fading channels	sGRAND
a lego-brick approach to coding for network communication	lego-brick

2022-12-09

paper	code
dynamic shimming in the cervical spinal cord for multi-echo gradient-echo imaging at 3 t	realtime-dynamic-shimming
unrolled algorithms for group synchronization	unrolling_synchronization
greeneyes: an air quality evaluating model based on wavenet	AirEvaluation
vicious classifiers: data reconstruction attack at inference time	vicious-classifiers

2022-12-08

paper	code
unique sparse decomposition of low rank matrices	Unique_Fac_of_Low_Rank
gridless 3d recovery of image sources from room impulse responses	acoustic-sfw
enhancing low-density eeg-based brain-computer interfaces with similarity-keeping knowledge distillation	eeg-kd

2022-12-07

paper	code
direction of arrival estimation of sound sources using icosahedral cnns	icodoa
storseismic: a new paradigm in deep learning for seismic processing	storseismic

2022-12-06

paper	code
lggnet: learning from local-global-graph representations for brain-computer interface	LGG
bayesian active meta-learning for few pilot demodulation and equalization	bayesian_active_meta_learning
signal enhancement for two-dimensional cryo-em data processing	cryoemsignalenhancement
joint graph learning from gaussian observations in the presence of hidden nodes	hidden_joint_gaussian_inf
spectral efficiency analysis of uplink-downlink decoupled access in c-v2x networks	Spectral-Efficiency-Analysis-of-Uplink-Downlink-Decoupled-Access-in-C-V2X-Networks
node-wise domain adaptation based on transferable attention for recognizing road rage via eeg	dataandcode
approximate message passing for multi-layer estimation in rotationally invariant models	ML-RI-GAMP

2022-12-05

paper	code
optimal discrete beamforming of reconfigurable intelligent surfaces	RIS_Optimization
a domain-knowledge-inspired music embedding space and a novel attention mechanism for symbolic music modeling	fundamentalmusicembedding
fecam: frequency enhanced channel attention mechanism for time series forecasting	fecam
wigner distribution deconvolution adaptation for live ptychography reconstruction	livewdd

2022-12-02

paper	code
fully on-board low-power localization with multizone time-of-flight sensors on nano-uavs	Matrix_ToF_Drones
swl-adapt: an unsupervised domain adaptation model with sample weight learning for cross-user wearable human activity recognition	SWL-Adapt

2022-12-01

paper	code
openran gym: ai/ml development, data collection, and testing for o-ran on pawr platforms	colosseum-near-rt-ric
self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis	EEG-CGS
robust and fast measure of information via low-rank representation	lrmi

2022-11-30

paper	code
music source separation with generative flow	generativesourceseparation
parallel faceted imaging in radio interferometry via proximal splitting (faceted hypersara): ii. code and real data proof of concept	faceted-hypersara
defending adversarial attacks on deep learning based power allocation in massive mimo using denoising autoencoders	dae_for_adv_attacks_in_mimo
medalcare-xl: 16,900 healthy and pathological 12 lead ecgs obtained through electrophysiological simulations	fim_eikonal
sketch-and-solve approaches to k-means clustering by semidefinite programming	sketch-and-solve_kmeans

2022-11-29

paper	code
deformable radar polygon: a lightweight and predictable occupancy representation for short-range collision avoidance	deformable_radar_polygon_occupancy_representation
surimi: supervised radio map augmentation with deep learning and a generative adversarial network for fingerprint-based indoor positioning	surimi
semi-supervised specific emitter identification method using metric-adversarial training	mat-based-ss-sei
discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression	vars

2022-11-28

paper	code
low-complexity near-optimum symbol detection based on neural enhancement of factor graphs	gap
biologically-plausible determinant maximization neural networks for blind separation of correlated sources	biologically-plausible-detmaxnns-for-blind-source-separation
conditioning and sampling in variational diffusion models for speech super-resolution	diffwave-sr
quantized compressed sensing with score-based generative models	qcs-sgm
structured gradient descent for fast robust low-rank hankel matrix completion	hsgd

2022-11-24

paper	code
evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism	deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals
pan-tompkins++: a robust approach to detect r-peaks in ecg signals	Pan-Tompkins-Plus-Plus
evaluating feature attribution methods for electrocardiogram	attribution-ecg
challenges in gaussian processes for non intrusive load monitoring	nilm_gp
eeg aided boosting of single-lead ecg based sleep staging with deep knowledge distillation	sleep_staging_kd
imitation learning-based implicit semantic-aware communication networks: multi-layer representation and collaborative reasoning	irml
verified reversible programming for verified lossless compression	flipper
diffusion model based posterior sampling for noisy linear inverse problems	dmps

2022-11-23

paper	code
graph neural networks with parallel neighborhood aggregations for graph classification	spin
communication-efficient stochastic zeroth-order optimization for federated learning	FedZO
meta-af: meta-learning for adaptive filters	metaaf
transforming ris-assisted passive beamforming from tedious to simple: a relaxation algorithm for rician channel	relaxation-algorithm-on-ris-miso
olia: an open-source digital lock-in amplifier	olia
ontology-aware learning and evaluation for audio tagging	ontology-aware-audio-tagging
quasifibrations of graphs to find symmetries in biological networks	qf
blind super-resolution of point sources via projected gradient descent	pgdvhl
rate-distortion theoretic bounds on generalization error for distributed learning	datascience

2022-11-22

paper	code
openfwi: large-scale multi-structural benchmark datasets for seismic full waveform inversion	openfwi
pmnet: robust pathloss map prediction via supervised learning	pmnet
spatiotemporal modeling of multivariate signals with graph neural networks and structured state space models	graphs4mer
motor imagery decoding using ensemble curriculum learning and collaborative training	ensemble-mi
neural network based generation of 1-dimensional stochastic fields with turbulent velocity statistics	nn-turb
nonlinear information bottleneck	nonlinear-IB-PyTorch
a novel approach to the partial information decomposition	redundancy
diffeomorphic information neural estimation	dine

2022-11-21

paper	code
arrhythmia classification using cgan-augmented ecg signals	augmentation-of-ecg-training-dataset-with-cgan
sinusoidal frequency estimation by gradient descent	sinusoidal-gradient-descent
sar-based landslide classification pretraining leads to better segmentation	sar-landslide-detection-pretraining
astrometric calibration and source characterisation of the latest generation neuromorphic event-based cameras for space imaging	icns_noralph_event_based-space_imaging-speed_dataset
towards fast single-trial online erp based brain-computer interface using dry eeg electrodes and neural networks: a pilot study	stimusto

2022-11-18

paper	code
deep reinforcement learning based joint downlink beamforming and ris configuration in ris-aided mu-miso systems under hardware impairments and imperfect csi	ris-miso-pda-deep-reinforcement-learning
sigt: an efficient end-to-end mimo-ofdm receiver framework based on transformer	sigt
efficient urllc with a reconfigurable intelligent surface and imperfect device tracking	efficient-ris-aided-urllc

2022-11-17

paper	code
one-bit mmwave mimo channel estimation using deep generative networks	obq-gan-mimo-ce
mcnet: fuse multiple cues for multichannel speech enhancement	mcnet
olia: an open-source digital lock-in amplifier	olia
detecting train driveshaft damages using accelerometer signals and differential convolutional neural networks	crack-detection-railway-axles-deep-learning
what has been enhanced in my knowledge-enhanced language model?	gcs_ki

2022-11-16

paper	code
link scheduling using graph neural networks	distgcn
a tutorial on terahertz-band localization for 6g communication systems	radio_localization
end-to-end p300 bci using bayesian accumulation of riemannian probabilities	demos
data augmentation for learning predictive models on eeg: a systematic comparison	eeg-augmentation-benchmark-2022
towards v2i age-aware fairness access: a dqn based intelligent vehicular node training and test method	age-fairness
motif-topology improved spiking neural network for the cocktail party effect and mcgurk effect	motif-snn
machine learning methods applied to cortico-cortical evoked potentials aid in localizing seizure onset zones	ml4hsoz
cardiacgen: a hierarchical deep generative model for cardiac signals	cardiac_gen_model
almost optimal variance-constrained best arm identification	va-bai

2022-11-15

paper	code
universal adversarial perturbations for cnn classifiers in eeg-based bcis	UAP_EEG
tiny noise, big mistakes: adversarial perturbations induce errors in brain-computer interface spellers	Speller-Attacks
reconfigurable intelligent surface phase hopping for ultra-reliable communications	ris-phase-hopping
a dataset and baseline approach for identifying usage states from non-intrusive power sensing with midas iot-based sensors	poweriot-state-identification
transforming ris-assisted passive beamforming from tedious to simple: a relaxation algorithm for rician channel	relaxation-algorithm-on-ris-miso
advancing the state-of-the-art for ecg analysis through structured state space models	ssm_ecg
wyner-ziv estimators for distributed mean estimation with side information and optimization	wz_estimators
hybrid hmm decoder for convolutional codes by joint trellis-like structure and channel prior	hmm-decoder
multi-user frequency assignment for ultra-reliable mmwave two-ray channels	frequency-assignment-qmkp

2022-11-14

paper	code
learning sparse analytic filters for piano transcription	sparse-analytic-filters
on low-rank trace regression under general sampling distribution	cv-impute

2022-11-11

paper	code
gradient-based learning of discrete structured measurement operators for signal recovery	glodismo
graph neural networks for community detection on sparse graphs	gnn_community_detection
the entropy rate of linear additive markov processes	LAMPEntropyEstimates

2022-11-10

paper	code
toward reliable signals decoding for electroencephalogram: a benchmark study to eegnex	eegnex
optimal discrete beamforming of reconfigurable intelligent surface	RIS_Optimization
phaseaug: a differentiable augmentation for speech synthesis to simulate one-to-many mapping	phaseaug
estimation of signal parameters using deep convolutional neural networks	deepest-demo
quantization adaptor for bit-level deep learning-based massive mimo csi feedback	qcrnet

2022-11-09

paper	code
mimo channel estimation using score-based generative models	score-based-channels
causal discovery in linear structural causal models with deterministic relations	propagation-scm
causal discovery in linear latent variable models subject to measurement error	sem-me-ur
bounded guaranteed algorithms for concave impurity minimization via maximum likelihood	linear_clustering

2022-11-08

paper	code
sharp: environment and person independent activity recognition with commodity ieee 802.11 access points	sharp
efficient deep learning-based estimation of the vital signs on smartphones	mtvital
towards efficient ecg-based atrial fibrillation detection via parameterised hypercomplex neural networks	hypercomplexecg
malgrid: visualization of binary features in large malware corpora	MalGrid
samo: speaker attractor multi-center one-class learning for voice anti-spoofing	samo
deep learning for rapid landslide detection using synthetic aperture radar (sar) datacubes	landslide-sar-unet
neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers	neural-spatio-temporal-probabilistic-transformers
pan-tompkins++: a robust approach to detect r-peaks in ecg signals	Pan-Tompkins-Plus-Plus
pygsl: a graph structure learning toolkit	pygsl
unifying approaches in active learning and active sampling via fisher information and information-theoretic quantities	2208.00549
hybrid hmm decoder for convolutional codes by joint trellis-like structure and channel prior	hmm-decoder
fas-unet: a novel fas-driven unet to learn variational image segmentation	fasunet
inductive graph transformer for delivery time estimation	igt-wsdm23

2022-11-07

paper	code
graph neural networks for wireless communications: from theory to practice	gnn4com
rate-splitting for intelligent reflecting surface-aided multiuser vr streaming	Deep-GRAIL
multi-view multi-label fine-grained emotion decoding from human brain activity	ml-bvae
recursive estimation of user intent from noninvasive electroencephalography using discriminative models	bci-disc-models
a knowledge distillation framework for enhancing ear-eeg based sleep staging with scalp-eeg data	EarEEG_KnowledgeDistillation

2022-11-04

paper	code
an open platform for simulating the physical layer of 6g communication systems with multiple intelligent surfaces	6g-simulation-platform
a space of goals: the cognitive geometry of informationally bounded agents	cognitive-geometry

2022-11-03

paper	code
topology-aware graph neural networks for learning feasible and adaptive ac-opf solutions	GNN_OPF_electricity_market
parallel faceted imaging in radio interferometry via proximal splitting (faceted hypersara): ii. code and real data proof of concept	faceted-hypersara
a nonlinear sum of squares search for cazac sequences	ieee-sos-cazac
witt: a wireless image transmission transformer for semantic communications	witt

2022-11-01

paper	code
i13dr: a real-time demand response infrastructure for integrating renewable energy resources	demand-manager-app
fast-convergent federated learning via cyclic aggregation	cyclicaggregation
better lightweight network for free: codeword mimic learning for massive mimo csi feedback	codewordmimicfeedback
space-time design for deep joint source channel coding of images over mimo channels	st_jscc
what has been enhanced in my knowledge-enhanced language model?	gcs_ki
page: prototype-based model-level explanations for graph neural networks	page

2022-10-31

paper	code
deep convolutional neural networks for multi-target tracking: a transfer learning approach	mtt
conditioning and sampling in variational diffusion models for speech super-resolution	diffwave-sr
multimodal estimation of change points of physiological arousal in drivers	ggs_driving
speaker recognition with two-step multi-modal deep cleansing	avcleanse
lightweight and high-fidelity end-to-end text-to-speech with multi-band generation and inverse short-time fourier transform	mb-istft-vits
nnsvs: a neural network-based singing voice synthesis toolkit	nnsvs
imitation learning-based implicit semantic-aware communication networks: multi-layer representation and collaborative reasoning	irml

2022-10-28

paper	code
vqf: highly accurate imu orientation estimation with bias estimation and magnetic disturbance rejection	vqf
accelerated massive mimo detector based on annealed underdamped langevin dynamics	langevin-mimo-detector
kalmanbot: kalmannet-aided bollinger bands for pairs trading	kalmanbot_icassp23
infoshape: task-based neural data shaping via mutual information	mine-pytorch

2022-10-27

paper	code
multimodal sensor data fusion for in-situ classification of animal behavior using accelerometry and gnss data	animal_behavior_classification_acc_gnss
topological slepians: maximally localized representations of signals over simplicial complexes	topological-slepians
a nonlinear sum of squares search for cazac sequences	ieee-sos-cazac
hybrid hmm decoder for convolutional codes by joint trellis-like structure and channel prior	hmm-decoder

2022-10-26

paper	code
label-aware ranked loss for robust people counting using automotive in-cabin radar	labelawareranked-loss

2022-10-25

paper	code
hierarchical filtering with online learned priors for ecg denoising	hkf_icassp23
unsupervised particle sorting for cryo-em using probabilistic pca	particle_sorting
ecg artifact removal from single-channel surface emg using fully convolutional networks	ecg-removal-from-semg-by-fcn
stimulus-informed generalized canonical correlation analysis of stimulus-following brain responses	si-gcca
tight mutual information estimation with contrastive fenchel-legendre optimization	FLO
fast beam alignment via pure exploration in multi-armed bandits	fast-beam-alignment

2022-10-24

paper	code
noisy neonatal chest sound separation for high-quality heart and lung sounds	heart-and-lung-sound-separation
deep, deep learning with bart	deep-deep-learning-with-bart
nestanets: stable, accurate and efficient neural networks for analysis-sparse inverse problems	as-nesta-net

2022-10-21

paper	code
recovery of missing sensor data by reconstructing time-varying graph signals	EUSIPCO_22_Sobolev
prosky: neat meets noma-mmwave in the sky of 6g	prosky
a hybrid millimeter-wave channel simulator for joint communication and localization	omnisim
on tilted losses in machine learning: theory and applications	TERM
rashomon capacity: a metric for predictive multiplicity in classification	rashomon-capacity

2022-10-20

paper	code
a spatially separable attention mechanism for massive mimo csi feedback	pytorch_stnet
generative adversarial user privacy in lossy single-server information retrieval	GAUP_TIFS22

2022-10-19

paper	code
non-stationary transformers: exploring the stationarity in time series forecasting	Nonstationary_Transformers
deep learning-enabled semantic communication systems with task-unaware transmitter and dynamic data	semantic-communication-systems
distributed inference over linear models using alternating gaussian belief propagation	FactorGraph.jl

2022-10-18

paper	code
a robust alternative for graph convolutional neural networks via graph neighborhood filters	neighborhoodgf
music source separation with generative flow	generativesourceseparation
sinr: deconvolving circular sas images using implicit neural representations	csas_deconvolution_inr
transfer learning of wav2vec 2.0 for automatic lyric transcription	alt_speechbrain
toward reliable signals decoding for electroencephalogram: a benchmark study to eegnex	eegnex
disentangled representation learning for rf fingerprint extraction under unknown channel statistics	dr-rff
multiscale adaptive scheduling and path-planning for power-constrained uav-relays via smdps	MAESTRO-X
evaluating latent space robustness and uncertainty of eeg-ml models under realistic distribution shifts	evaluating-eeg-representations
a framework to evaluate independent component analysis applied to eeg signal: testing on the picard algorithm	testica
robust graph filter identification and graph denoising from signal observations	graph_denoising
principled pruning of bayesian neural networks through variational free energy minimization	principledpruningbnn
a unitary transform based generalized approximate message passing	guamp

2022-10-17

paper	code
calibration and uncertainty characterization for ultra-wideband two-way-ranging measurements	uwb_calibration
i13dr: a real-time demand response infrastructure for integrating renewable energy resources	demand-manager-app

2022-10-14

paper	code
ecg-atk-gan: robustness against adversarial attacks on ecgs using conditional generative adversarial networks	ecg-atk-gan
spd domain-specific batch normalization to crack interpretable unsupervised domain adaptation in eeg	TSMNet
partial identifiability for nonnegative matrix factorization	nmf-partial-identifiability
a monotonicity constrained attention module for emotion classification with limited eeg data	bci-attention
self-supervised learning for label-efficient sleep stage classification: a comprehensive evaluation	eval_ssl_ssc
decentralized state estimation in a dimension-reduced linear regression	dtt
better lattice quantizers constructed from complex integers	latticequantizer
decision-oriented two-parameter fisher information sensitivity using symplectic decomposition	symplecticfishersensitivity
rigorous dynamical mean field theory for stochastic gradient descent methods	rigorous-dynamical-mean-field-theory

2022-10-13

paper	code
a spatially separable attention mechanism for massive mimo csi feedback	pytorch_stnet
outlier-insensitive kalman filtering using nuv priors	oikf_icassp23
an energy-efficient spiking neural network for finger velocity decoding for implantable brain-machine interface	snn-for-finger-velocity-ibmi
multimodality multi-lead ecg arrhythmia classification using self-supervised learning	ecg_ssl_12lead
cross task neural architecture search for eeg signal classifications	ctnas-eeg
multi-layer state evolution under random convolutional design	conv-ml-amp
graph neural networks for channel decoding	gnn-decoder

2022-10-12

paper	code
the portiloop: a deep learning-based open science tool for closed-loop brain stimulation	portiloop
transfer learning-based channel estimation in orthogonal frequency division multiplexing systems using data-nulling superimposed pilots	transferlearningbasedcebydnsp
slurp! spectroscopy of liquids using robot pre-touch sensing	slurp_grasping
multi-site diagnostic classification of schizophrenia using 3d cnn on aggregated task-based fmri data	Schizophrenia-Classification-from-multi-site-fMRI-data
misspecified phase retrieval with generative priors	MPRG

2022-10-11

paper	code
towards real-world bci: ccspnet, a compact subject-independent motor imagery framework	CCSPNet
performance analysis of multi-user noma wireless-powered mmtc networks: a stochastic geometry approach	mmtc-noma
communication-efficient stochastic zeroth-order optimization for federated learning	FedZO
urglq: an efficient covariance matrix reconstruction method for robust adaptive beamforming	robust-adaptive-beamforming-2022
online learning of the transfer matrix of dynamic scattering media: wavefront shaping meets multidimensional time series	online_learning_tm
correlative information maximization based biologically plausible neural networks for correlated source separation	Biologically-Plausible-Correlative-Information-Maximization-for-Blind-Source-Separation
rhombic grids reduce the number of voxels in fast pulse-echo ultrasound imaging	rhombic_grids
coinpress: practical private mean and covariance estimation	coin-press
constrained optimal querying: huffman coding and beyond	constrained-optimal-querying-huffman-coding-and-beyond

2022-10-10

paper	code
experiments with mmwave automotive radar test-bed	mmWave-radar-signal-processing-and-microDoppler-classification

2022-10-07

paper	code
role of deep learning in wireless communications	DL-DSC-FDD-Massive-MIMO
few-shot calibration of set predictors via meta-learned cross-validation-based conformal prediction	meta-xb
efficient sequence packing without cross-contamination: accelerating large language models without impacting performance	packedBERT
grassmannian packings: trust-region stochastic tuning for matrix incoherence	trstmi
orthogonal non-negative matrix factorization: a maximum-entropy-principle approach	mep-orthogonal-nmf

2022-10-06

paper	code
generalised implicit neural representations	ginr
learning the spectrogram temporal resolution for audio classification	diffres-python
matt: a manifold attention network for eeg decoding	matt

2022-10-05

paper	code
diagnosis of parkinson's disease based on voice signals using shap and hard voting ensemble method	classification_of_parkinson_disease
do language models make human-like predictions about the coreferents of italian anaphoric zero pronouns?	italian-zero-anaphora-prediction
overparameterized relu neural networks learn the simplest models: neural isometry and exact recovery	neural-recovery

2022-10-04

paper	code
uncertainty detection and reduction in neural decoding of eeg signals	ue-eeg
unsupervised multimodal change detection based on structural relationship graph representation learning	srgcae

2022-10-03

paper	code
end-to-end p300 bci using bayesian accumulation of riemannian probabilities	demos
near lossless time series data compression methods using statistics and deviation	data-compression
ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices	stress
rf-transformer: a unified backscatter radio hardware abstraction	rf-transformer
astf: visual abstractions of time-varying patterns in radio signals	astf
tinyturbo: efficient turbo decoders on edge	tinyturbo
construction of optimal spectral methods in phase retrieval	Optimal_Spectral_Methods_PR
optimal denoising of rotationally invariant rectangular matrices	rectangular_rie
self-stabilization: the implicit bias of gradient descent at the edge of stability	eos

2022-09-30

paper	code
frequency-dependent $f$-number increases the contrast and the spatial resolution in fast pulse-echo ultrasound imaging	f_number

2022-09-29

paper	code
a parameter-free nonconvex low-rank tensor completion model for spatiotemporal traffic data recovery	T-ITS-PFNC

2022-09-28

paper	code
biologically-plausible determinant maximization neural networks for blind separation of correlated sources	biologically-plausible-detmaxnns-for-blind-source-separation
source detection via multi-label classification	Signal_detector
semi-blind source separation with learned constraints	sgmca
provably efficient machine learning for quantum many-body problems	PastaQ.jl
cell-free massive mimo meets otfs modulation	cell-free-otfs
an asymmetric contrastive loss for handling imbalanced datasets	asymmetric-cl

2022-09-27

paper	code
ddp-gcn: multi-graph convolutional network for spatiotemporal traffic forecasting	DDP-GCN
ppg2abp: translating photoplethysmogram (ppg) signals to arterial blood pressure (abp) waveforms using fully convolutional neural networks	PPG2ABP
real-time noise cancellation with deep learning	deepNeuronalFilter
under the sand: navigation and localization of a micro aerial vehicle for landmine detection with ground penetrating synthetic aperture radar	mav_findmine
pyffs: a python library for fast fourier series computation and interpolation with gpu acceleration	pyFFS
bounded simplex-structured matrix factorization	bssmf.jl
poisson phase retrieval in very low-count regimes	ppr-low-count
how does data freshness affect real-time supervised learning?	impact-of-data-freshness-in-learning

2022-09-26

paper	code
deep, deep learning with bart	deep-deep-learning-with-bart
activity detection in distributed mimo: distributed amp via likelihood ratio fusion	distributed-AMP
autoencoder based iterative modeling and multivariate time-series subsequence clustering algorithm	abimca

2022-09-23

paper	code
leveraging joint-diagonalization in transform-learning nmf	tlnmf-tsp
eventnet: detecting events in eeg	eventnet
dynamic response recovery using ambient synchrophasor data: a synthetic texas interconnection case study	dy_resp_pkg_new
compressing sign information in dct-based image coding via deep sign retrieval	dsr

2022-09-22

paper	code
learning bilinear models of actuated koopman generators from partially-observed trajectories	koopmangeneratorem
inferring network properties from time series using transfer entropy and mutual information: validation of multivariate versus bivariate approaches	infonet
decoding reed-muller codes with successive codeword permutations	sprld

2022-09-21

paper	code
an inertial block majorization minimization framework for nonsmooth nonconvex optimization	TITAN
signal decomposition using masked proximal operators	signal-decomposition
massive mimo with dual-polarized antennas	dual-polarization

2022-09-20

paper	code
temporal feedback convolutional recurrent neural networks for speech command recognition	temporal-feedback-crnn
real-time outdoor localization using radio maps: a deep learning approach	LocUNet
efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)	Bjork
data-driven estimation of capacity upper bounds	upper_capacity_bounds
bolt: fused window transformers for fmri time series analysis	bolt
an impedance transition method to verify the reference impedance of multiline trl calibration	verification-multiline-trl-calibration
information-theoretic characterization of the generalization error for iterative semi-supervised learning	generrorssl_2022

2022-09-19

paper	code
gcns-net: a graph convolutional neural network approach for decoding time-resolved eeg motor imagery signals	EEG-DL
bayesbeat: reliable atrial fibrillation detection from noisy photoplethysmography data	bayesbeat
parallel faceted imaging in radio interferometry via proximal splitting (faceted hypersara): ii. code and real data proof of concept	faceted-hypersara
multiscale adaptive scheduling and path-planning for power-constrained uav-relays via smdps	MAESTRO-X
self-supervised learning with an information maximization criterion	corinfomax-ssl

2022-09-16

paper	code
blind equalization and channel estimation in coherent optical communications using variational autoencoders	vae-equalizer
particle gradient descent model for point process generation	pp_syn
a stochastic optimization framework for fair risk minimization	FERMI

2022-09-15

paper	code
learning-based downlink power allocation in cell-free massive mimo systems	power-allocation-cell-free
untargeted region of interest selection for gc-ms data using a pseudo f-ratio moving window ($\psi$frmv)	regionofinterest
personalized emotion detection using iot and machine learning	MLEmotionDetection

2022-09-14

paper	code
multi-event-camera depth estimation and outlier rejection by refocused events fusion	dvs_mcemvs
decorrelate irrelevant, purify relevant: overcome textual spurious correlations from a feature perspective	depro

2022-09-13

paper	code
adaptive r-peak detection on wearable ecg sensors for high-intensity exercise	adaptive_rpeak_det_public
a design of low-projection scma codebooks for ultra-low decoding complexity in downlink iot networks	scma-codebook
data-driven blind synchronization and interference rejection for digital communication signals	scss_sync

2022-09-12

paper	code
autoencoder based iterative modeling and multivariate time-series subsequence clustering algorithm	mt3scm
the optimality of word lengths. theoretical foundations and an empirical study	iql-research-project-21-22

2022-09-09

paper	code
two beams are better than one: enabling reliable and high throughput mmwave links	mmreliable
position aided beam prediction in the real world: how useful gps locations actually are?	position-beam-prediction
too fine or too coarse? the goldilocks composition of data complexity for robust left-right eye-tracking classifiers	kdd-ml
non-adaptive and two-stage coding over the z-channel	Z-channel_with_1_error

2022-09-08

paper	code
a time-domain real-valued generalized wiener filter for multi-channel neural separation systems	TAC
generative principal component analysis	GenerativePCA
denoising generalized expectation-consistent approximation for mr image recovery	corr-plus-corr

2022-09-07

paper	code
bottlefit: learning compressed representations in deep neural networks for effective and efficient split computing	bottlefit-split_computing
semantic communications with discrete-time analog transmission: a papr perspective	semanticpapr
transfer learning of an ensemble of dnns for ssvep bci spellers without user-specific training	ensemble-of-dnns
tfn: an interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis	tfn
large graph signal denoising with application to differential privacy	dp-graph-denoising
data augmentation for deep receivers	data-augmentations-for-receivers
learning to predict requires integrated information	learningrequiresintinf
abs+ polar codes: exploiting more linear transforms on adjacent bits	abs-polar

2022-09-05

paper	code
artificial intelligence enabled noma towards next generation multiple access	ai_noma
evaluating short-term forecasting of multiple time series in iot environments	multiple-timeseries-forecasting
towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed pv mapping	dsfrance
software tools for decoding quantum low-density parity check codes	qecc

2022-09-02

paper	code
variational sparse coding with learned thresholding	variational-sparse-coding
a unified spatially coupled code design: threshold, cycles, and locality	unified_sc_ldpcl
mind: maximum mutual information based neural decoder	mind-neural-decoder

2022-09-01

paper	code
fast robust subspace tracking via pca in sparse data-dependent noise	NORST
do language models make human-like predictions about the coreferents of italian anaphoric zero pronouns?	italian-zero-anaphora-prediction

2022-08-31

paper	code
gridless 3d recovery of image sources from room impulse responses	acoustic-sfw

2022-08-30

paper	code
openfwi: large-scale multi-structural benchmark datasets for seismic full waveform inversion	openfwi
robust distributed bayesian learning with stragglers via consensus monte carlo	straggler-resilient-cmc
integration of physics-based and data-driven models for hyperspectral image unmixing	awesome-hyperspectral-image-unmixing
cast: a toolchain for creating and characterizing realistic wireless network emulation scenarios	cast
latent signal models: learning compact representations of signal evolution for improved time-resolved, multi-contrast mri	latent_signal_models_mrm_2022
adjacent-bits-swapped polar codes: a new code construction to speed up polarization	abs-polar

2022-08-29

paper	code
gcns-net: a graph convolutional neural network approach for decoding time-resolved eeg motor imagery signals	EEG-DL

2022-08-26

paper	code
ecg-atk-gan: robustness against adversarial attacks on ecgs using conditional generative adversarial networks	ecg-atk-gan
ensemble learning using individual neonatal data for seizure detection	distributed-nsda
eeg4students: an experimental design for eeg data collection and machine learning analysis	eeg4students
approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra	talgebra

2022-08-25

paper	code
trajectory pmb filters for extended object tracking using belief propagation	trajectory-pmb-eot-bp
enhancing deep learning performance of massive mimo csi feedback	jpts

2022-08-24

paper	code
leveraging joint-diagonalization in transform-learning nmf	tlnmf-tsp
arrhythmia classification using cgan-augmented ecg signals	augmentation-of-ecg-training-dataset-with-cgan
quantum message-passing algorithm for optimal and efficient decoding	quantum-message-passing-paper

2022-08-23

paper	code
exploiting temporal structures of cyclostationary signals for data-driven single-channel source separation	scss_csgaussian
survey of machine learning techniques to predict heartbeat arrhythmias	ECG_Predictor
universal caching	universalcaching

2022-08-22

paper	code
echofilter: a deep learning segmentation model improves the automation, standardization, and timeliness for post-processing echosounder data in tidal energy streams	echofilter
a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part ii: convergence properties	DASF_toolbox

2022-08-19

paper	code
fast off-the-grid sparse recovery with over-parametrized projected gradient descent	opcomp_sparse_recovery
ensemble learning using individual neonatal data for seizure detection	distributed-nsda
psychophysiological arousal in young children who stutter: an interpretable ai approach	modality-wise-multple-instance-learning
a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part i: algorithm derivation	DASF_toolbox

2022-08-18

paper	code
towards a better understanding human reading comprehension with brain signals	uercm
quantum message-passing algorithm for optimal and efficient decoding	quantum-message-passing-paper

2022-08-17

paper	code
parametric scattering networks	ParametricScatteringNetworks
self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis	EEG-CGS
signal detection with dynamic programming	Signal-detection-with-dynamic-programming
efficient randomized subspace embeddings for distributed optimization under a communication budget	distoptconstrcomm

2022-08-16

paper	code
a robust adversarial network-based end-to-end communications system with strong generalization ability against adversarial attacks	GAN-based-E2E-communications-system-for-defense-against-adversarial-attack
towards interpretable sleep stage classification using cross-modal transformers	cross-modal-transformer
dynamic task software caching-assisted computation offloading for multi-access edge computing	drl-mec
wifi based distance estimation using supervised machine learning	wifi-fingerprint
how does data freshness affect real-time supervised learning?	impact-of-data-freshness-in-learning

2022-08-15

paper	code
lrh-net: a multi-level knowledge distillation approach for low-resource heart network	lrh-net
a hybrid method for condition monitoring and fault diagnosis of rolling bearings with low system delay	vibration-based-fault-diagnosis-with-low-delay
a unified spatially coupled code design: threshold, cycles, and locality	unified_sc_ldpcl
communication network model of the immune system identifies the impact of interactions with sars-cov-2 proteins	core

2022-08-12

paper	code
echofilter: a deep learning segmentation model improves the automation, standardization, and timeliness for post-processing echosounder data in tidal energy streams	echofilter
an modified cole's importance sampling method for low error floor qc-ldpc codes construction	trapping-sets-enumeration

2022-08-11

paper	code
perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising	perturbative_mean_field_matrix_factorization

2022-08-10

paper	code
efficient waveform covariance matrix design and antenna selection for mimo radar	evolutionary-antenna-design-in-mimo
expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control	Advanced_XLight
ultra lite convolutional neural network for automatic modulation classification	ultra-lite-convolutional-neural-network-for-automatic-modulation-classification

2022-08-09

paper	code
beats: an open-source, high-precision, multi-channel eeg acquisition tool system	beats
a spatially separable attention mechanism for massive mimo csi feedback	pytorch_stnet
fra-rir: fast random approximation of the image-source method	fra-rir
oversquashing in gnns through the lens of information contraction and graph expansion	oversquashing

2022-08-08

paper	code
disentangled representation learning for rf fingerprint extraction under unknown channel statistics	dr-rff
a design of low-projection scma codebooks for downlink satellite internet of things	scma-codebook

2022-08-05

paper	code
visually evaluating generative adversarial networks using itself under multivariate time series	GaussianGANs

2022-08-04

paper	code
stable and interpretable unrolled dictionary learning	stable-interpretable-unrolled-dl
the wqn algorithm to adaptively correct artifacts in the eeg signal	wavelet-wqn-acha
segmented learning for class-of-service network traffic classification	s2mc-for-cos
recovery of future data via convolution nuclear norm minimization	CNNM
deep learning-enabled semantic communication systems with task-unaware transmitter and dynamic data	semantic-communication-systems

2022-08-03

paper	code
self-supervised group meiosis contrastive learning for eeg-based emotion recognition	Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognition
towards v2i age-aware fairness access: a dqn based intelligent vehicular node training and test method	age-fairness

2022-08-02

paper	code
untargeted region of interest selection for gc-ms data using a pseudo f-ratio moving window ($\psi$frmv)	regionofinterest
vector-based data improves left-right eye-tracking classifier performance after a covariate distributional shift	eegetcovariatedistributionalshift
descod-ecg: deep score-based diffusion model for ecg baseline wander and noise removal	score-based-ecg-denoising
tcmi: a non-parametric mutual-dependence estimator for multivariate continuous distributions	tcmi
tight concentrations and confidence sequences from the regret of universal portfolio	precise
better lattice quantizers constructed from complex integers	latticequantizer

2022-08-01

paper	code
deep learning based successive interference cancellation for the non-orthogonal downlink	sicnet
deep learning-based synchronization for uplink nb-iot	nprach_synch
analytic relations between networks: encoding, decoding, and causality	analytic-relations-between-complex-networks-encoding-decoding-and-causality

2022-07-29

paper	code
wivelo: fine-grained walking velocity estimation for wi-fi passive tracking	WiVelo_SECON22
one-nearest-neighbor search is all you need for minimax optimal regression and classification	split-knn-rules
pareto-optimal clustering with the primal deterministic information bottleneck	pareto_dib

2022-07-28

paper	code
graph neural networks for communication networks: context, use cases and opportunities	GNNPapersCommNets

2022-07-27

paper	code
sparse signal models for data augmentation in deep learning atr	mstar_data_aug
few-shot domain adaptation for end-to-end communication	domain-adaptation-autoencoder
time majority voting, a pc-based eeg classifier for non-expert users	time_majority_voting
dynamic measurement of structural entropy for dynamic graphs	incre-se

2022-07-26

paper	code
task-oriented communication for multi-device cooperative edge inference	vddib-sr
end-to-end signal classification in signed cumulative distribution transform space	PyTransKit
a learning aided flexible gradient descent approach to miso beamforming	lagd
openran gym: ai/ml development, data collection, and testing for o-ran on pawr platforms	colosseum-near-rt-ric
toward reliable signals decoding for electroencephalogram: a benchmark study to eegnex	eegnex
quantum advantage in learning from experiments	ReCirq
on confidence sequences for bounded random processes via universal gambling strategies	confidence-sequence-via-gambling

2022-07-25

paper	code
explainable ai algorithms for vibration data-based fault detection: use case-adadpted methods and critical evaluation	xai-vibration-fault-detection

2022-07-22

paper	code
neural architecture search for spiking neural networks	neural-architecture-search-for-spiking-neural-networks
trajectory pmb filters for extended object tracking using belief propagation	trajectory-pmb-eot-bp
multi resolution analysis (mra) for approximate self-attention	mra-attention

2022-07-21

paper	code
beats: an open-source, high-precision, multi-channel eeg acquisition tool system	beats

2022-07-20

paper	code
a large collection of real-world pediatric sleep studies	sleep_study
do not sleep on linear models: simple and interpretable techniques outperform deep learning for sleep scoring	sleep-linear
unrolled algorithms for group synchronization	unrolling_synchronization
automated black-box boundary value detection	repro_autobva

2022-07-19

paper	code
music source separation with generative flow	generativesourceseparation
plotly-resampler: effective visual analytics for large time series	plotly-resampler
segment-level metric learning for few-shot bioacoustic event detection	dcase_2022_task_5
deep learning and its applications to wifi human sensing: a benchmark and a tutorial	wifi-csi-sensing-benchmark
correlated age-of-information bandits	Correlated-AoI-Bandits
the signed cumulative distribution transform for 1-d signal analysis and classification	PyTransKit
tight concentrations and confidence sequences from the regret of universal portfolio	precise
ultra-marginal feature importance	umfi
interpretable collective intelligence of non-rational human agents	collective-intelligence-research

2022-07-18

paper	code
correctly modeling tx and rx chain in (distributed) massive mimo -- new fundamental insights on coherency	Correctly-Modeling-TX-and-RX-Chain-in-Massive-MIMO
open-source software for electrical engineering applications requiring consideration of electrodynamics: elecode	elecode
deepsolar tracker: towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed pv mapping	dsfrance
outlier detection of vital sign trajectories from covid-19 patients	outlier-detection-recap-data

2022-07-15

paper	code
self-supervised speaker recognition with loss-gated learning	loss-gated-learning
reconstruction of time-varying graph signals via sobolev smoothness	graphtrss
few-shot specific emitter identification via deep metric ensemble learning	few-shot-specific-emitter-identification-via-deep-metric-ensemble-learning
a neural-network framework for the design of individualised hearing-loss compensation	connear_periphery
analytic relations between complex networks: encoding, decoding, and causality	analytic-relations-between-complex-networks-encoding-decoding-and-causality
an asymmetric contrastive loss for handling imbalanced datasets	asymmetric-cl

2022-07-13

paper	code
a covariant, discrete time-frequency representation tailored for zero-based signal detection	kravchuk-transform-and-its-zeros
an automated theorem proving framework for information-theoretic results	psitip
on the distribution of the information density of gaussian random vectors: explicit formulas and tight approximations	information-density
quantum advantage in learning from experiments	ReCirq

2022-07-12

paper	code
towards off-the-grid algorithms for total variation regularized inverse problems	tvsfw
frame-type sensitive rdo control for content-adaptive-encoding	icip2022
multi-channel deep networks for block-based image compressive sensing	deepbcs
an information upper bound for probability sensitivity	ProbSensitivityInfoBound
l$_0$onie: compressing coins with l$_0$-constraints	l0onie

2022-07-11

paper	code
mutual-information based optimal experimental design for hyperpolarized $^{13}$c-pyruvate mri	hyperpolarizedmri

2022-07-08

paper	code
visual sensor network stimulation model identification via gaussian mixture model and deep embedded features	vsn-with-ae
variance in classifying affective state via electrocardiogram and photoplethysmography	emo_phys_eval
morpi: mobile robot pure inertial navigation	morpi
topologically driven methods for construction of multi-edge type (multigraph with nodes puncturing) quasi-cyclic low-density parity-check codes for wireless channel, wdm long-haul and archival holographic memory	trapping-sets-enumeration

2022-07-07

paper	code
state-augmented learnable algorithms for resource management in wireless networks	stateaugmented_rrm_gnn

2022-07-06

paper	code
near out-of-distribution detection for low-resolution radar micro-doppler signatures	near-ood-doppler-signatures
identification of distorted rf components via deep multi-task learning	hardware-problem-identification
content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold	mesh
modeling and correcting bias in sequential evaluation	sequential-bias

2022-07-05

paper	code
hardware architecture for high throughput event visual data filtering with matrix of iir filters algorithm	dvs_filtermatrixiir
learning noise with generative adversarial networks: explorations with classical random process models	noisegan
task-oriented self-supervised learning for anomaly detection in electroencephalography	eeg-ad
semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation	audio-samples2
encoding of probability distributions for asymmetric numeral systems	AsymmetricNumeralSystemsToolkit

2022-07-01

paper	code
stride: a flexible platform for high-performance ultrasound computed tomography	stride
leveraging joint-diagonalization in transform-learning nmf	tlnmf-tsp
propagation of measurement and model uncertainties through multiline trl calibration	uncertainty-multiline-trl-calibration
federated over-air subspace tracking from incomplete and corrupted data	distributed-pca

2022-06-30

paper	code
robust photon-efficient imaging using a pixel-wise residual shrinkage network	robust-photon-efficient-imaging-using-prsnet
correctly modeling tx and rx chain in (distributed) massive mimo -- new fundamental insights on coherency	Correctly-Modeling-TX-and-RX-Chain-in-Massive-MIMO
depth-2 neural networks under a data-poisoning attack	neurotron_experiments

2022-06-29

paper	code
aivc: artificial intelligence based video codec	AIVC
stratified multivariate multiscale dispersion entropy for physiological signal analysis	smvmde

2022-06-28

paper	code
audio dequantization using (co)sparse (non)convex methods	audio_dequantization
graph neural network aided mu-mimo detectors	GNN-based-MIMO-Detection
adaptive decoding mechanisms for uav-enabled double-uplink coordinated noma	uav-noma-adm
a unified treatment of partial stragglers and sparse matrices in coded matrix computation	unifiedtreatment
mutual-information based optimal experimental design for hyperpolarized $^{13}$c-pyruvate mri	hyperpolarizedmri

2022-06-27

paper	code
a framework of inertial alternating direction method of multipliers for non-convex non-smooth optimization	iADMM
frame-type sensitive rdo control for content-adaptive-encoding	icip2022
multi-modal sensor data fusion for in-situ classification of animal behavior using accelerometry and gnss data	animal_behavior_classification_acc_gnss
deep-learning-aided distributed clock synchronization for wireless networks	distributed-dnn-aided-time-synchronization
accelerated information gradient flow	Accelerated-Information-Gradient-flow
source localization of graph diffusion via variational autoencoders for graph inverse problems	slvae
deep generation of heterogeneous networks	hgen

2022-06-24

paper	code
a large collection of real-world pediatric sleep studies	sleep_study
a nonlinear beamforming for enhanced spatiotemporal sensitivity in high frame rate ultrasound flow imaging	nonlinear_beamforming
vehif: an accessible vegetation high-impedance fault data set format	hif_vegetation_data
arbitrary-length analogs to de bruijn sequences	pkl

2022-06-23

paper	code
scaling and scalability: provable nonconvex low-rank tensor estimation from incomplete measurements	ScaledGD
identifying electrocardiogram abnormalities using a handcrafted-rule-enhanced neural network	ecg_processing
model-driven deep learning-based mimo-ofdm detector: design, simulation, and experimental results	cg-oamp-net
adaptive regularized zero-forcing beamforming in massive mimo with multi-antenna users	Adaptive-Regularized-Zero-Forcing-Beamforming-in-Massive-MIMO-with-Multi-Antenna-Users
self-dual hadamard bent sequences	hadamard_bent
differentially private maximal information coefficients	dp-mic
beating the sum-rate capacity of the binary adder channel with non-signaling correlations	mac_ns_lp

2022-06-22

paper	code
channel estimation in massive mimo under hardware non-linearities: bayesian methods versus deep learning	deep-learning-channel-estimation
real-time noise cancellation with deep learning	deepNeuronalFilter
self-supervised eeg representation learning for automatic sleep staging	contrawr
disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application	synchrosqueezed-chirplet-transforms
a covariant, discrete time-frequency representation tailored for zero-based signal detection	kravchuk-transform-and-its-zeros
signal decomposition using masked proximal operators	signal-decomposition
deep neural convolutive matrix factorization for articulatory representation decomposition	ema_gesture
propagation of measurement and model uncertainties through multiline trl calibration	uncertainty-multiline-trl-calibration
can we trust our energy measurements? a study on the odroid-xu4	energymeasurementanalysis
a learning aided gradient descent for miso beamforming	lagd
combating the instability of mutual information-based losses via regularization	deconstructing-mine

2022-06-20

paper	code
plotly-resampler: effective visual analytics for large time series	plotly-resampler
fast lossless neural compression with integer-only discrete flows	iodf

2022-06-17

paper	code
an accelerated expectation-maximization algorithm for multi-reference alignment	synch-em
the portiloop: a deep learning-based open science tool for closed-loop brain stimulation	portiloop
a real-world radio frequency signal dataset based on lte system and variable channels	xsrpdataset
evaluating short-term forecasting of multiple time series in iot environments	multiple-timeseries-forecasting

2022-06-16

paper	code
learning the structure of large networked systems obeying conservation laws	slnscl
on the relationship between ground- and satellite- based global horizontal irradiance	solarsatground
paramnet: a multi-layer parametric network for joint channel estimation and symbol detection	ParamNET
loss functions for classification using structured entropy	resources

2022-06-15

paper	code
pareto-optimal clustering with the primal deterministic information bottleneck	pareto_dib

2022-06-14

paper	code
multiple hypothesis testing framework for spatial signals	lfdr-smom
efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)	Bjork
roadside lidar vehicle detection and tracking using range and intensity background subtraction	roadside-lidar-vehicle-detection-and-tracking-background-subtraction
integration of physics-based and data-driven models for hyperspectral image unmixing	awesome-hyperspectral-image-unmixing
data-driven denoising of accelerometer signals	MEMS-IMU-Denoising
reinforcement learning-based placement of charging stations in urban road networks	pcrl
ris-admm: an admm-based passive and sparse sensing method with interference removal	ris-admm
ultra-marginal feature importance	umfi

2022-06-13

paper	code
denoising generalized expectation-consistent approximation for mri image recovery	corr-plus-corr

2022-06-10

paper	code
convolutional dictionary learning by end-to-end training of iterative neural networks	convsparsitynns
aligning random graphs with a sub-tree similarity message-passing algorithm	graph_alignment

2022-06-09

paper	code
technical report (v1.0)--pseudo-random cartesian sampling for dynamic mri	cmr-sampling
perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising	perturbative_mean_field_matrix_factorization

2022-06-08

paper	code
extreme compressed sensing of poisson rates from multiple measurements	SPoRe
energy and age pareto optimal trajectories in uav-assisted wireless data collection	aoienergyuavtraopt
self-supervised learning for human activity recognition using 700,000 person-days of wearable data	ssl-wearables
decomposed linear dynamical systems (dlds) for learning the latent components of neural dynamics	dLDS-Discrete-Python-Model
decentralized low-latency collaborative inference via ensembles on the edge	ensembles-on-the-edge
computational doob's $h$-transforms for online filtering of discretely observed diffusions	CompDoobTransform

2022-06-07

paper	code
mean subtraction and mode selection in dynamic mode decomposition	msub_mdselect_dmd
characterizing the slope trade-off: a variational perspective and the donoho-tanner limit	SLOPE_AMP
dcase 2021 task 3: spectrotemporally-aligned features for polyphonic sound event localization and detection	SALSA
da-music: data-driven doa estimation via deep augmented music algorithm	tsp22
mical: mutual information-based cnn-aided learned factor	cnn-aided-factor-graphs-with-estimated-mutual-information-features-for-seizure-detection-mical
on low-rank trace regression under general sampling distribution	cv-impute
blind super-resolution of point sources via projected gradient descent	pgdvhl
supervised contrastive csi representation learning for massive mimo positioning	SupConCSI
an information upper bound for probability sensitivity	ProbSensitivityInfoBound
minimizing the expected posterior entropy yields optimal summary statistics	summaries

2022-06-06

paper	code
approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra	talgebra
lossy gradient compression: how much accuracy can one bit buy?	fl_rd
rashomon capacity: a metric for predictive multiplicity in probabilistic classification	rashomon-capacity

2022-06-03

paper	code
design of an optimal testbed for tracking of tagged marine megafauna	receiver-deployment

2022-06-02

paper	code
zero-shot self-supervised learning for mri reconstruction	ZS-SSL
the representation jensen-r'enyi divergence	jensen-renyi-divergence

2022-06-01

paper	code
metassd: meta-learned self-supervised detection	metassd
channel model mismatch analysis for xl-mimo systems from a localization perspective	radio_localization
rethinking graph neural networks for anomaly detection	rethinking-anomaly-detection
generalised implicit neural representations	ginr
information fragmentation, encryption and information flow in complex biological networks	fragmentation_replication_instructions

2022-05-31

paper	code
transfer learning-based channel estimation in orthogonal frequency division multiplexing systems using data-nulling superimposed pilots	transferlearningbasedcebydnsp
recovery of future data via convolution nuclear norm minimization	CNNM

2022-05-30

paper	code
a semidefinite relaxation for sums of heterogeneous quadratics on the stiefel manifold	sums-of-heterogeneous-quadratics
generalizing brain decoding across subjects with deep learning	meg-group-decode
auditing differential privacy in high dimensions with the kernel quantum r'enyi divergence	kernel_renyi_dp

2022-05-27

paper	code
multi-layer state evolution under random convolutional design	conv-ml-amp

2022-05-26

paper	code
over-the-air design of gan training for mmwave mimo channel estimation	ota-gan-mimo-ce
a real-world radio frequency signal dataset based on lte system and variable channels	xsrpdataset
ultra-compact binary neural networks for human activity recognition on risc-v processors	ultracompactbnn

2022-05-25

paper	code
a tutorial on terahertz-band localization for 6g communication systems	radio_localization
towards practical physics-informed ml design and evaluation for power grid	gridwarm
multi-agent feedback enabled neural networks for intelligent communications	MAFENN_TRANS_2022

2022-05-24

paper	code
position aided beam prediction in the real world: how useful gps locations actually are?	position-beam-prediction
approximate message passing with parameter estimation for heavily quantized measurements	1Bit-CS
antenna selection in switch-based mimo arrays via doa threshold region approximation	radio_localization
neural augmented min-sum decoding of short block codes for fading channels	nams

2022-05-23

paper	code
a subspace method for time series anomaly detection in cyber-physical systems	pad
multivariate public key cryptosystem from sidon spaces	Sidon-Cryptosystem
optimizing the communication-accuracy trade-off in federated learning with rate-distortion theory	compressed_communication

2022-05-20

paper	code
denoising noisy neural networks: a bayesian approach with compensation	NoisyNN

2022-05-19

paper	code
link scheduling using graph neural networks	distgcn
stride: a flexible platform for high-performance ultrasound computed tomography	stride
robust photon-efficient imaging using a pixel-wise residual shrinkage network	robust-photon-efficient-imaging-using-prsnet
approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra	talgebra
lower-bounds on the bayesian risk in estimation procedures via $f$-divergences	f_divergences_lower_bounds

2022-05-18

paper	code
signal2image modules in deep neural networks for eeg classification	signal2image-modules-in-deep-neural-networks-for-eeg-classification
r-local unlabeled sensing: a novel graph matching approach for multiview unlabeled sensing under local permutations	QAP-for-ULS
visual sensor network stimulation model identification via gaussian mixture model and deep embedded features	vsn-with-ae
near out-of-distribution detection for low-resolution radar micro-doppler signatures	doppler-signatures-generation

2022-05-17

paper	code
two-dimensional multi-target detection: an autocorrelation analysis approach	MTD-2D
generalized autocorrelation analysis for multi-target detection	mtd-gmm
an approximate expectation-maximization for two-dimensional multi-target detection	mtd-2d-em
over-the-air ensemble inference with model privacy	oac-based-private-ensembles
recovering or testing extended-affine equivalence	EA_equivalence_for_quadratic_functions
hybrid beam alignment for multi-path channels: a group testing viewpoint	beamforming
analog secure distributed matrix multiplication over complex numbers	sdmm-over-complex
mind: maximum mutual information based neural decoder	mind-neural-decoder

2022-05-16

paper	code
r-local sensing: improved algorithm and applications	proximal-alt-min-for-uls-udgp
probabilistic estimation of chirp instantaneous frequency using gaussian processes	chirpgp
data-driven upper bounds on channel capacity	upper_capacity_bounds

2022-05-13

paper	code
annealed langevin dynamics for massive mimo detection	langevin-mimo-detector
how well does surprisal explain n400 amplitude under different experimental conditions?	does-surprisal-explain-n400

2022-05-12

paper	code
advanced sleep spindle identification with neural networks	sumo
intelligent reflecting surface configurations for smart radio using deep reinforcement learning	irsconfigurationdrl
deepfilternet2: towards real-time speech enhancement on embedded devices for full-band audio	deepfilternet

2022-05-11

paper	code
learning to continuously optimize wireless resource in a dynamic environment: a bilevel optimization perspective	TSP_CL
energy and age pareto optimal trajectories in uav-assisted wireless data collection	aoienergyuavtraopt
variational sparse coding with learned thresholding	variational-sparse-coding
gridwarm: towards practical physics-informed ml design and evaluation for power grid	gridwarm
pervasive machine learning for smart radio environments enabled by reconfigurable intelligent surfaces	drl_ris_tutorial
zeros of gaussian weyl-heisenberg functions and hyperuniformity of charge	gwhf
universal caching	universalcaching

2022-05-10

paper	code
using a drone sounder to measure channels for cell-free massive mimo systems	CF-mMIMO
hierarchical dirichlet process based gamma mixture modelling for terahertz band wireless communication channels	DPGMM-Channel-Modelling
far from asymptopia	atomicpriors.jl

2022-05-09

paper	code
a dynamic response recovery framework using ambient synchrophasor data	dy_resp_pkg_new
information fragmentation, encryption and information flow in complex biological networks	fragmentation_replication_instructions
fundamental performance limits for sensor-based robot control and policy learning	performance-limits

2022-05-06

paper	code
minimax estimation of partially-observed vector autoregressions	POVAR.jl
approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra	talgebra

2022-05-05

paper	code
signal decomposition using masked proximal operators	signal-decomposition
multiple testing and variable selection along the path of the least angle regression	lar_testing
aligning random graphs with a sub-tree similarity message-passing algorithm	graph_alignment

2022-05-04

paper	code
reconfigurable intelligent surface phase hopping for ultra-reliable communications	ris-phase-hopping
zeros of gaussian weyl-heisenberg functions and hyperuniformity of charge	gwhf
modeling and correcting bias in sequential evaluation	sequential-bias

2022-05-03

paper	code
mgait: model-based gait analysis using wearable bend and inertial sensors	mgait
storseismic: a new paradigm in deep learning for seismic processing	storseismic
end-to-end signal classification in signed cumulative distribution transform space	PyTransKit
gmss: graph-based multi-task self-supervised learning for eeg emotion recognition	gmss
admm-dad net: a deep unfolding network for analysis compressed sensing	ADMM-DAD
deep learning-enabled semantic communication systems with task-unaware transmitter and dynamic data	semantic-communication-systems
ridgeless regression with random features	ridgeless-regression-with-random-features

2022-05-02

paper	code
ramp-cnn: a novel neural network for enhanced automotive radar object recognition	radar-multiple-perspective-object-detection
an investigation of the effectiveness of phase for audio classification	investigation-phase
linguistic dependencies and statistical dependence	cpmi-dependencies

2022-04-29

paper	code
real-time outdoor localization using radio maps: a deep learning approach	LocUNet
attention based neural networks for wireless channel estimation	Attention_Based_Neural_Networks_for_Wireless_Channel_Estimation
interpretable collective intelligence of non-rational human agents	collective-intelligence-research

2022-04-28

paper	code
1-bit compressive sensing via approximate message passing with built-in parameter estimation	1Bit-CS
salience: an unsupervised user adaptation model for multiple wearable sensors based human activity recognition	SALIENCE
leveraging power grid topology in machine learning assisted optimal power flow	MLOPF.jl
music source separation with generative flow	generativesourceseparation

2022-04-27

paper	code
block alternating bregman majorization minimization with extrapolation	BMME
encoding cardiopulmonary exercise testing time series as images for classification using convolutional neural network	multivariatetimeseries

2022-04-26

paper	code
experiments with mmwave automotive radar test-bed	mmWave-radar-signal-processing-and-microDoppler-classification
probabilistic rainfall estimation from automotive lidar	rainfall_modeling_open
pyffs: a python library for fast fourier series computation and interpolation with gpu acceleration	pyFFS
a ris-based passive doa estimation method for integrated sensing and communication system	passivedoa-isac-ris

2022-04-25

paper	code
sinr: deconvolving circular sas images using implicit neural representations	csas_deconvolution_inr

2022-04-22

paper	code
ultra marginal feature importance	umfi

2022-04-21

paper	code
atlas fusion -- modern framework for autonomous agent sensor data fusion	Atlas-Fusion
dual aspect self-attention based on transformer for remaining useful life prediction	dast
rewis: reliable wi-fi sensing through few-shot multi-antenna multi-receiver csi learning	rewis
syncnet: using causal convolutions and correlating objective for time delay estimation in audio signals	2022_syncnet
music source separation with generative flow	generativesourceseparation
radiology text analysis system (radtext): architecture and evaluation	radtext

2022-04-11

paper	code
cnn-based approaches for cross-subject classification in motor imagery: from the state-of-the-art to dynamicnet	Dynamic-PyTorch-Net
multi-centroid hyperdimensional computing approach for epileptic seizure detection
deconvolution of the functional ultrasound response in the mouse visual pathway using block-term decomposition	btd_deconv
design of an optimal testbed for tracking of tagged marine megafauna	receiver-deployment
automatic data augmentation selection and parametrization in contrastive self-supervised speech representation learning	augmentations
recovering or testing extended-affine equivalence	EA_equivalence_for_quadratic_functions

2022-04-08

paper	code
wifieye -- seeing over wifi made accessible	wifieye
muleeg: a multi-view representation learning on eeg signals	muleeg
binary spatial random field reconstruction from non-gaussian inhomogeneous time-series observations	WarpedGaussianProcesses
rf signal transformation and classification using deep neural networks	rf_classification
structured gradient descent for fast robust low-rank hankel matrix completion	hsgd

2022-04-07

paper	code
hrtf measurement for accurate sound localization cues	hrtf-hats-kaist
pareto-optimal clustering with the primal deterministic information bottleneck	pareto_dib

2022-04-06

paper	code
the generalized method of moments for multi-reference alignment	gmm-cryo
patient contrastive learning: a performant, expressive, and practical approach to ecg modeling	ml4h
gan-based joint activity detection and channel estimation for grant-free random access	jadce

2022-04-05

paper	code
vehicular visible light positioning for collision avoidance and platooning: a survey	vehicular-vlp-simulations
electrocardio panorama: synthesizing new ecg views with self-supervision	Electrocardio-Panorama
fbdnn: filter banks and deep neural networks for portable and fast brain-computer interfaces	fbcnn
power allocation for wireless federated learning using graph neural networks	wirelessfl-pdgnet
variational message passing for online polynomial narmax identification	acc2022-vmpnarmax

2022-04-04

paper	code
a fast transformer-based general-purpose lossless compressor	a-fast-transformer-based-general-purpose-losslesscompressor
robust remote estimation over the collision channel in the presence of an intelligent jammer	cdc22

2022-04-01

paper	code
single-pixel compressive imaging in shift-invariant spaces via exact wavelet frames	compressive_imaging_in_si_spaces
time-coded spiking fourier transform in neuromorphic hardware	time-coded-SFT
direction of arrival estimation of sound sources using icosahedral cnns	icodoa
vqf: highly accurate imu orientation estimation with bias estimation and magnetic disturbance rejection	vqf
differentially private federated learning via reconfigurable intelligent surface	fl_privacy_blockcrossing
lead1.0: a large-scale annotated dataset for energy anomaly detection in commercial buildings	lead-dataset

2022-03-31

paper	code
common information, matroid representation, and secret sharing for matroid ports	common-information-and-matroid-ports
unbiased single-scale and multi-scale quantizers for distributed optimization	Gradient-Compression
self-dual hadamard bent sequences	hadamard_bent

2022-03-30

paper	code
multiple hypothesis testing framework for spatial signals	lfdr-smom
an approximate expectation-maximization for two-dimensional multi-target detection	mtd-2d-em
physics informed neural networks for control oriented thermal modeling of buildings	physnet_thermal_models
separate what you describe: language-queried audio source separation	lass
analysis of eeg frequency bands for envisioned speech recognition	imaginedspeechrecognition
over-the-air federated learning via second-order optimization	AirFL-2nd
approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra	talgebra

2022-03-29

paper	code
deep unfolding basis pursuit: improving sparse channel reconstruction via data-driven measurement matrices	DeepBP-AE
parametric scattering networks	ParametricScatteringNetworks
predicting the impact of formation protocols on battery lifetime immediately after manufacturing	fast-formation
distributed link sparsification for scalable scheduling using graph neural networks	gcn-sparsify
online meta-learning for hybrid model-based deep receivers	metadeepsic
q-ppg: energy-efficient ppg-based heart rate monitoring on wearable devices	q-ppg
neural vocoder is all you need for speech super-resolution	ssr_eval

2022-03-28

paper	code
bddm: bilateral denoising diffusion models for fast and high-quality speech synthesis	bddm

2022-03-25

paper	code
complex frequency domain linear prediction: a tool to compute modulation spectrum of speech	fdlp_spectrogram
distilling ghz states using stabilizer codes	ghz_distillation_qec

2022-03-24

paper	code
lggnet: learning from local-global-graph representations for brain-computer interface	LGG
estimation of consistent time delays in subsample via auxiliary-function-based iterative updates	auxtde
transsleep: transitioning-aware attention-based deep neural network for sleep staging	transsleep
deep learning based intelligent coin-tap test for defect recognition	torch-tapnet
physiomtl: personalizing physiological patterns using optimal transport multi-task regression	mmash
fast quantum state reconstruction via accelerated non-convex programming	MiFGD
scale-invariant representation of machine learning	powerlaw_ml
node representation learning in graph via node-to-neighbourhood mutual information maximization	n2n
the impact of partial packet recovery on the inherent secrecy of random linear coding	vtc2022-spring

2022-03-23

paper	code
signal2image modules in deep neural networks for eeg classification	signal2image-modules-in-deep-neural-networks-for-eeg-classification
sionna: an open-source library for next-generation physical layer research	sionna

2022-03-22

paper	code
phase collapse in neural networks	phasecollapse
neural capacity estimators: how reliable are they?	nce_icc-2022
physics informed neural networks for control oriented thermal modeling of buildings	physnet_thermal_models
efficient doa estimation method for reconfigurable intelligent surfaces aided uav swarm	adpp
sdoanet: an efficient deep learning-based doa estimation network for imperfect array	sdoanet
graph neural networks for wireless communications: from theory to practice	gnn4com
learning resilient radio resource management policies with graph neural networks	Resilient_RRM_GNN
towards optimally efficient search with deep learning for large-scale mimo systems	hats

2022-03-21

paper	code
lead-agnostic self-supervised learning for local and global representations of electrocardiogram	fairseq-signals
generative principal component analysis	GenerativePCA

2022-03-18

paper	code
enhancement of a state-of-the-art rl-based detection algorithm for massive mimo radars	improved_rl_algorithm_mmimo_radar

2022-03-17

paper	code
robust equivariant imaging: a fully unsupervised framework for learning to image from noisy and partial measurements	rei
lossless compression with probabilistic circuits	pressedjuice.jl

2022-03-16

paper	code
ensemble neural representation networks	enrp
a regularization method to improve adversarial robustness of neural networks for ecg signal classification	robust_dnn_for_ecg
benchmarking and interpreting end-to-end learning of mimo and multi-user communication	DeepLearning_MIMO
generalized rectifier wavelet covariance models for texture synthesis	wavelet-texture-synthesis
minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification	Network-Robustness-by-Kolmogorov-Complexity
optimal representations for covariate shift	optdom
optimizing the communication-accuracy trade-off in federated learning with rate-distortion theory	compressed_communication
optimal denoising of rotationally invariant rectangular matrices	rectangular_rie

2022-03-15

paper	code
self-supervised graph neural networks for improved electroencephalographic seizure analysis	eeg-gnn-ssl
neural architecture search for spiking neural networks	neural-architecture-search-for-spiking-neural-networks
modelling non-smooth signals with complex spectral structure	gpcm
a novel approach to the partial information decomposition	redundancy

2022-03-14

paper	code
kalmannet: neural network aided kalman filtering for partially known dynamics	KalmanNet_TSP
nearest neighbor density functional estimation from inverse laplace transform	knn-functional-estimation

2022-03-11

paper	code
exploring scalable, distributed real-time anomaly detection for bridge health monitoring	real_time_bhm

2022-03-09

paper	code
reconfigurable intelligent surfaces: a signal processing perspective with wireless applications	spm_ris
the terminating-knockoff filter: fast high-dimensional variable selection with false discovery rate control	tknock
roadside lidar vehicle detection and tracking using range and intensity background subtraction	roadside-lidar-vehicle-detection-and-tracking-background-subtraction
coding theory package for macaulay2	Workshop-2020-Cleveland
information theoretic structured generative modeling	structured-generative-modeling
fasura: a scheme for quasi-static massive mimo unsourced random access channels	mmtc

2022-03-08

paper	code
biologically plausible single-layer networks for nonnegative independent component analysis	bio-nica
decentralized beamforming for cell-free massive mimo with unsupervised learning	CF-mMIMO-HBF
predicting flat-fading channels via meta-learned closed-form linear filters and equilibrium propagation	scalar-channel-meta-prediction
unrolling palm for sparse semi-blind source separation	lpalm
early stopping for deep image prior	early_stopping_for_dip
transformers in time series: a survey	time-series-transformers-review
hrtf measurement for accurate identification of binaural sound localization cues	hrtf-construction

2022-03-07

paper	code
relay-assisted cooperative federated learning	relay-fl
two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from sentinel-1 sar images	2d-structure-functions
beats: an open-source, high-precision, multi-channel eeg acquisition tool system	beats
towards optimally efficient search with deep learning for large-scale mimo systems	hats
a unified spatially coupled code design: threshold, cycles, and locality	unified_sc_ldpcl
programmable optical data transmission through multimode fibres enabling confidentiality by physical layer security	mmf-physec

2022-03-04

paper	code
label-aware ranked loss for robust people counting using automotive in-cabin radar	labelawareranked-loss

2022-03-03

paper	code
leveraging power grid topology in machine learning assisted optimal power flow	MLOPF.jl
a fast and scalable polyatomic frank-wolfe algorithm for the lasso	PolyatomicFW_SPL
signal decomposition using masked proximal operators	signal-decomposition
sketched rt3d: how to reconstruct billions of photons per second	real-time-sp-lidar

2022-03-02

paper	code
two-dimensional multi-target detection: an autocorrelation analysis approach	MTD-2D
phycom: a multi-layer parametric network for joint linear impairments compensation and symbol detection	PhyCOM
tcmi: a non-parametric mutual-dependence estimator for multivariate continuous distributions	tcmi

2022-03-01

paper	code
depth estimation from monocular images and sparse radar using deep ordinal regression network	DORN_radar
automated parkinson's disease detection and affective analysis from emotional eeg signals	pd-eeg
signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors	ppg_sim_snr_fs
fast off-the-grid sparse recovery with over-parametrized projected gradient descent	opcomp_sparse_recovery
admm-dad net: a deep unfolding network for analysis compressed sensing	ADMM-DAD
sparsity-aware neural user behavior modeling in online interaction platforms	Inf-VAE
kl divergence estimation with multi-group attribution	multigroup-kl

2022-02-28

paper	code
multi-head relu implicit neural representation networks	mh-relu-inr
mixture model auto-encoders: deep clustering through dictionary learning	mixmate
nearest subspace search in the signed cumulative distribution transform space for 1d signal classification	PyTransKit
fast matching pursuit with multi-gabor dictionaries	fastmpwithmultigabor
a unifying theory of thompson sampling for continuous risk-averse bandits	continuous-rho-ts

2022-02-25

paper	code
detection by sampling: massive mimo detector based on langevin dynamics	langevin-mimo-detector
quantum circuit design for universal distribution using a superposition of classical automata	QuBio

2022-02-23

paper	code
an experimental mmwave channel model for uav-to-uav communications	uav-to-uav-60-ghz-channel-model
foundations of user-centric cell-free massive mimo	cell-free-book
rawboost: a raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing	RawBoost-antispoofing
learning from an exploring demonstrator: optimal reward estimation for bandits	inverse-bandit-code-release
fasura: a scheme for quasi-static massive mimo unsourced random access channels	mmtc

2022-02-22

paper	code
millimeter wave wireless assisted robot navigation with link state classification	mmwRobotNav
a novel 1d state space for efficient music rhythmic analysis	1d-statespace
embedding decomposition for artifacts removal in eeg signals	deepseparator
vehif: an accessible vegetation high-impedance fault data set format	hif_vegetation_data
echofilter: a deep learning segmentation model improves the automation, standardization, and timeliness for post-processing echosounder data in tidal energy streams	echofilter
coordinated sum-rate maximization in multicell mu-mimo with deep unrolling	gcnwmmse
provably efficient machine learning for quantum many-body problems	provable-ml-quantum

2022-02-21

paper	code
eeg-based cross-subject driver drowsiness recognition with an interpretable convolutional neural network	eeg-based-cross-subject-driver-drowsiness-recognition-with-an-interpretable-cnn
feasibility of modeling orthogonal frequency-division multiplexing communication signals with unsupervised generative adversarial networks	ofdm-gan
towards best practice of interpreting deep learning models for eeg-based brain computer interfaces	Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI
signal decomposition using masked proximal operators	signal-decomposition
stratified multivariate multiscale dispersion entropy for physiological signal analysis	smvmde

2022-02-18

paper	code
fann-on-mcu: an open-source toolkit for energy-efficient neural network inference at the edge of the internet of things	fann-on-mcu
user-centric perspective in random access cell-free aided by spatial separability	cf-ra-spatial-separability
delay-oriented distributed scheduling using graph neural networks	gcn-dql
two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from sentinel-1 sar images	2d-structure-functions

2022-02-17

paper	code
direct design of biquad filter cascades with deep learning by sampling random polynomials	iirnet
neural capacity estimators: how reliable are they?	nce_icc-2022
deep-learning-assisted configuration of reconfigurable intelligent surfaces in dynamic rich-scattering environments	deep_ris_tuning_for_rich_scattering_environments
enhancing causal estimation through unlabeled offline data	enhancing-causal-estimations

2022-02-16

paper	code
an investigation of the effectiveness of phase for audio classification	investigation-phase
r-local sensing: improved algorithm and applications	proximal-alt-min-for-uls-udgp
score-based generative models for robust channel estimation	diffusion-channels
hermes: hybrid error-corrector model with inclusion of external signals for nonstationary fashion time series	f1fashiondataset
understanding knowledge integration in language models with graph convolutions	gcs_ki

2022-02-15

paper	code
demystifying why local aggregation helps: convergence analysis of hierarchical sgd	hierarchical-sgd
massive uncoordinated access with random user activity	uma_random_user_activity
coded resnext: a network for designing disentangled information paths	coded-resnext
unsourced multiple access with random user activity	uma_random_user_activity

2022-02-14

paper	code
a dynamic response recovery framework using ambient synchrophasor data	dy_resp_pkg_new
graphon-aided joint estimation of multiple graphs	jointinf_graphs_graphon

2022-02-11

paper	code
an information-theoretic justification for model pruning	SuRP
sumo: advanced sleep spindle identification with neural networks	sumo

2022-02-10

paper	code
deep augmented music algorithm for data-driven doa estimation	icassp22
uncertainty in data-driven kalman filtering for partially known state-space models	errcov_icassp22
admm-dad net: a deep unfolding network for analysis compressed sensing	ADMM-DAD
active sensing for communications by learning	dl-activesensing
adjacent-bits-swapped polar codes: a new code construction to speed up polarization	abs-polar

2022-02-09

paper	code
a deep neural network for ssvep-based brain-computer interfaces	Deep-SSVEP-BCI
rtsnet: deep learning aided kalman smoothing	rtsnet_icassp22
a covariant, discrete time-frequency representation tailored for zero-based signal detection	kravchuk-transform-and-its-zeros
unsupervised source separation via self-supervised training	mixcycle

2022-02-08

paper	code
physfad: physics-based end-to-end channel modeling of ris-parametrized environments with adjustable fading	physfad
inter-subject contrastive learning for subject adaptive eeg-based visual recognition	Deep-BCI
over-the-air ensemble inference with model privacy	oac-based-private-ensembles
hermes: hybrid error-corrector model with inclusion of external signals for nonstationary fashion time series	f1fashiondataset
gradient-based learning of discrete structured measurement operators for signal recovery	glodismo
nearest neighbor density functional estimation from inverse laplace transform	knn-functional-estimation
bayesian context trees: modelling and exact inference for discrete time series	Bayesian-Suffix-Trees
tight mutual information estimation with contrastive fenchel-legendre optimization	FLO
decoding reed-muller codes with successive codeword permutations	SPRLD
parameter-free online linear optimization with side information via universal coin betting	olo-with-side-information
lossy gradient compression: how much accuracy can one bit buy?	fl_rd
analog secure distributed matrix multiplication over complex numbers	sdmm-over-complex

2022-02-07

paper	code
millimeter wave wireless assisted robot navigation with link state classification	mmwRobotNav
maximum likelihood estimation of optimal receiver operating characteristic curves from likelihood ratio observations	mleroc

2022-02-04

paper	code
the terminating-knockoff filter: fast high-dimensional variable selection with false discovery rate control	tknock
node-screening tests for l0-penalized least-squares problem with supplementary material	bnb-screening
mgc: a complex-valued graph convolutional network for directed graphs	MGCs
locunet: fast urban positioning using radio maps and deep learning	LocUNet
improving lyrics alignment through joint pitch detection	lyricsalignment-mtl
approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra	talgebra

2022-02-03

paper	code
online change point detection for weighted and directed random dot product graphs	cpd_rdpg
perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising	perturbative_mean_field_matrix_factorization

2022-02-02

paper	code
total least squares phase retrieval	tls_phase
practical graph signal sampling with log-linear size scaling	graph-signal-sampling-avm
a machine-learning-based direction-of-origin filter for the identification of radio frequency interference in the search for technosignatures	doom
deepfilternet: a low complexity speech enhancement framework for full-band audio based on deep filtering	deepfilternet
arrhythmia classification using cgan-augmented ecg signals	augmentation-of-ecg-training-dataset-with-cgan
blind ecg restoration by operational cycle-gans	blind-ecg-restoration-by-operational-cycle-gans
fundamental performance limits for sensor-based robot control and policy learning	performance-limits
non-adaptive and two-stage coding over the z-channel	Z-channel_with_1_error

2022-02-01

paper	code
reconfigurable intelligent surface phase hopping for ultra-reliable communications	ris-phase-hopping
deep task-based analog-to-digital conversion	adc-learning-hyperopt
decoding reed-muller codes with successive codeword permutations	SPRLD

2022-01-31

paper	code
quantification of mismatch error in randomly switching linear state-space models	Switching-Kalman-Filter
a tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology	GED_tutorial
inertial navigation using an inertial sensor array	array-in
stochastic optimization in digital pre-distortion of the signal	Sirius-2021-DPD-optimization
lossy compression for lossless prediction	lossyless

2022-01-28

paper	code
calibration with privacy in peer review	calibration-with-privacy-in-peer-review

2022-01-27

paper	code
grouped variable selection for generalized eigenvalue problems	benchmarkStudySensorSelection

2022-01-26

paper	code
low complexity channel estimation with neural network solutions	Interpolation-ResNet
neural architecture search for spiking neural networks	neural-architecture-search-for-spiking-neural-networks

2022-01-25

paper	code
open community platform for hearing aid algorithm research: open master hearing aid (openmha)	softx-d-21-00049
kalmannet: neural network aided kalman filtering for partially known dynamics	KalmanNet_TSP
a new non-negative matrix co-factorisation approach for noisy neonatal chest sound separation	heart-and-lung-sound-separation
real-time multi-level neonatal heart and lung sound quality assessment for telehealth applications	heart-and-lung-signal-quality-estimation
decoding reed-muller codes with successive codeword permutations	SPRLD
an unsupervised deep unrolling framework for constrained optimization problems in wireless networks	usrmnet-hwgcn

2022-01-20

paper	code
homological time series analysis of sensor signals from power plants	TwirlFlake

2022-01-19

paper	code
two-dimensional multi-target detection: an autocorrelation analysis approach	MTD-2D
optimal power allocation in downlink multicarrier noma systems: theory and fast algorithms	optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization
resnests and densenests: block-based dnn models with improved representation guarantees	resnest
visual sensor network stimulation model identification via gaussian mixture model and deep embedded features	vsn-with-ae
sending timely status updates through channel with random delay via online learning	infocom2022

2022-01-14

paper	code
spectrum surveying: active radio map estimation with autonomous uavs	spectrum_surveying_with_uavs
performance analysis of multi-user noma wireless-powered mmtc networks: a stochastic geometry approach	mmtc-noma

2022-01-13

paper	code
how to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series	uniqed
federated learning for covid-19 detection with generative adversarial networks in edge cloud computing	FL-GAN_COVID
implementation of fgpa based channel sounder for large scale antenna systems using rfnoc on usrp platform	rfnoc-hls-winlab

2022-01-12

paper	code
rnns on monitoring physical activity energy expenditure in older people	GOTOV_PAEE_publication
evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism	deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals

2022-01-11

paper	code
communication-efficient federated learning via predictive coding	predictive-coding-fl
stability analysis of unfolded wmmse for power allocation	stability-uwmmse
noisy neonatal chest sound separation for high-quality heart and lung sounds	heart-and-lung-sound-separation
a high-level track fusion scheme for circular quantities	circularfusionoperator
understanding entropy coding with asymmetric numeral systems (ans): a statistician's perspective	understanding-ans

2022-01-10

paper	code
automatic open-world reliability assessment	Automatic-Open-World-Reliability-Assessment
min2net: end-to-end multi-task learning for subject-independent motor imagery eeg classification	min2net

2022-01-07

paper	code
user-centric perspective in random access cell-free aided by spatial separability	cf-ra-spatial-separability
necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables	tigramite

2022-01-06

paper	code
a sketching framework for reduced data transfer in photon counting lidar	sketched_lidar
robust photon-efficient imaging using a pixel-wise residual shrinkage network	robust-photon-efficient-imaging-using-prsnet

2022-01-05

paper	code
self-supervised representation learning from 12-lead ecg data	ecg-selfsupervised
homological time series analysis of sensor signals from power plants	TwirlFlake
dihedral multi-reference alignment	DihedralMRA
deep learning interviews: hundreds of fully solved job interview questions from a wide range of key topics in ai	interviews.ai

2022-01-04

paper	code
a review of open-world learning and steps toward open-world learning without labels	Open_World_Learning_Without_Labels
reconfigurable intelligent surfaces: a signal processing perspective with wireless applications	spm_ris
ncvx: a user-friendly and scalable package for nonconvex optimization in machine learning	ncvx
uncertainty detection in eeg neural decoding models	ue-eeg
optimal representations for covariate shift	optdom

2022-01-03

paper	code
evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism	deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals
elastic 3d wavefield simulation on budget gpus using the glsl shading language	GLSL-Elastic-3D-Wavefield-Simulation
multiple testing and variable selection along the path of the least angle regression	lar_testing

2021-12-30

paper	code
towards real-world bci: ccspnet, a compact subject-independent motor imagery framework	CCSPNet
decentralized power allocation for mimo-noma vehicular edge computing based on deep reinforcement learning	VEC_DRL_Doppler
regularity normalization: neuroscience-inspired unsupervised attention across neural network layers	UnsupervisedAttentionMechanism

2021-12-28

paper	code
hardware distortion correlation has negligible impact on ul massive mimo spectral efficiency	distortion-correlation
variational quantum algorithms for trace distance and fidelity estimation	Quantum
practical distributed quantum information processing with loccnet	Quantum

2021-12-24

paper	code
a machine-learning-based direction-of-origin filter for the identification of radio frequency interference in the search for technosignatures	doom
new instances of quadratic apn functions	quadratic_apn

2021-12-23

paper	code
tsflex: flexible time series processing & feature extraction	tsflex

2021-12-22

paper	code
unique sparse decomposition of low rank matrices	Unique_Fac_of_Low_Rank
subject-independent drowsiness recognition from single-channel eeg with an interpretable cnn-lstm model	Subject-Independent-Drowsiness-Recognition-from-Single-Channel-EEG-with-an-Interpretable-CNN-LSTM
multiple time series fusion based on lstm an application to cap a phase classification using eeg	GA_PSO_DEEP_LEARNING

2021-12-21

paper	code
expression is enough: improving traffic signal control with advanced traffic state representation	Advanced_XLight

2021-12-20

paper	code
detection of maternal and fetal stress from the electrocardiogram with self-supervised representation learning	ssl-ecg-v2
systematic assessment of hyperdimensional computing for epileptic seizure detection	HDforEpilepsyPublic

2021-12-17

paper	code
search for temporal cell segmentation robustness in phase-contrast microscopy videos	microscopy-dl-suite-tf
a deep learning based multitask network for respiration rate estimation -- a practical perspective	multirespdl

2021-12-16

paper	code
denoising noisy neural networks: a bayesian approach with compensation	NoisyNN

2021-12-15

paper	code
early stopping for deep image prior	early_stopping_for_dip
a deep knowledge distillation framework for eeg assisted enhancement of single-lead ecg based sleep staging	sleep_staging_kd

2021-12-14

paper	code
tree-amp: compositional inference with tree approximate message passing	tramp
chmusic: a traditional chinese music dataset for evaluation of instrument recognition	chmusic
multi-static uwb radar-based passive human tracking using cots devices	uwb-radar-pedestrian-tracking
recovery of future data via convolution nuclear norm minimization	CNNM

2021-12-13

paper	code
removing noise from extracellular neural recordings using fully convolutional denoising autoencoders	fcdae-neural-signal-denoising
deepaoanet: learning angle of arrival from software defined radios with deep neural networks	deepaoanet
surrogate-based cross-correlation for particle image velocimetry	sbcc

2021-12-10

paper	code
open community platform for hearing aid algorithm research: open master hearing aid (openmha)	openMHA
scalable power control/beamforming in heterogeneous wireless networks with graph neural networks	hignn
a unifying theory of thompson sampling for continuous risk-averse bandits	continuous-rho-ts

2021-12-09

paper	code
a primer on near-field beamforming for arrays and reconfigurable intelligent surfaces	nearfield-primer
mobile bci dataset of scalp- and ear-eegs with erp and ssvep paradigms while standing, walking, and running	mobilebci_data
adaptive r-peak detection on wearable ecg sensors for high-intensity exercise	adaptive_rpeak_det_public
adaboost and robust one-bit compressed sensing	adaboost-and-robust-one-bit-compressed-sensing

2021-12-08

paper	code
the elliptical ornstein-uhlenbeck process	ellipticalou
truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling	truly_shift_invariant_cnns
vehif: an accessible vegetation high-impedance fault data set format	hif_vegetation_data

2021-12-07

paper	code
eeg-based emotional video classification via learning connectivity structure	bsc_lcs
estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise	SREA
under the sand: navigation and localization of a micro aerial vehicle for landmine detection with ground penetrating synthetic aperture radar	mav_findmine
my(o) armband leaks passwords: an emg and imu based keylogging side-channel attack	myo-keylogging
enhancement of a state-of-the-art rl-based detection algorithm for massive mimo radars	improved_rl_algorithm_mmimo_radar
robust compressed sensing mri with deep generative priors	csgm-mri-langevin
compressive visual representations	compressive-visual-representations

2021-12-06

paper	code
irs-aided swipt: joint waveform, active and passive beamforming design under nonlinear harvester model	irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model
stride: a flexible platform for high-performance ultrasound computed tomography	stride
disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application	synchrosqueezed-chirplet-transforms

2021-12-03

paper	code
self-supervised graph representation learning via topology transformations	topo-ter
embedding decomposition for artifacts removal in eeg signals	deepseparator
quantum advantage in learning from experiments	ReCirq

2021-12-02

paper	code
localized fourier analysis for graph signal processing	loclets
heppcat: probabilistic pca for data with heteroscedastic noise	heteroscedastic-probabilistic-pca
hottbox: higher order tensor toolbox	hottbox
deepaoanet: learning angle of arrival from software defined radios with deep neural networks	deepaoanet

2021-12-01

paper	code
validating circacp: a generic sleep-wake cycle detection algorithm	circacp
clustering-based activity detection algorithms for grant-free random access in cell-free massive mimo	grant-free
scalable machine learning architecture for neonatal seizure detection on ultra-edge devices	NeonatalSeizureDetection
mathematical models for fake news	Fake_News

2021-11-30

paper	code
iclabel: an automated electroencephalographic independent component classifier, dataset, and website	ICLabel-Train
visualization of linear operations in the spherical harmonics domain	visualization-of-sh-domain-operations
opensync: an opensource platform for synchronizing multiple measures in neuroscience experiments	OpenSync_Unity
ncvx: a user-friendly and scalable package for nonconvex optimization in machine learning	ncvx
neural computation of capacity region of memoryless multiple access channels	Neural-Capacity-Computation
redunet: a white-box deep network from the principle of maximizing rate reduction	ReduNet

2021-11-29

paper	code
automatic crack classification by exploiting statistical event descriptors for deep learning	deeplearning_crack_classification
contourletnet: a generalized rain removal architecture using multi-direction hierarchical representation	contourletnet-bmvc2021
evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism	deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals

2021-11-25

paper	code
point process simulation of generalised inverse gaussian processes and estimation of the jaeger integral	GiG
machine learning based forward solver: an automatic framework in gprmax	gprMax
tsflex: flexible time series processing & feature extraction	tsflex
state-space deep gaussian processes with applications	dissertation
robust and differentially private mean estimation	robust_dp

2021-11-24

paper	code
scaling and scalability: provable nonconvex low-rank tensor estimation from incomplete measurements	ScaledGD
efficient hierarchical bayesian inference for spatio-temporal regression models in neuroimaging	dugh-neurips-2021
graph neural networks with parallel neighborhood aggregations for graph classification	spin

2021-11-23

paper	code
applications of unsupervised deep transfer learning to intelligent fault diagnosis: a survey and comparative study	UDTL
neural capacity estimators: how reliable are they?	nce_icc-2022
semi-supervised impedance inversion by bayesian neural network based on 2-d cnn pre-training	bayesian-semi-supervised-impedance-inversion
variational quantum gibbs state preparation with a truncated taylor series	Quantum

2021-11-22

paper	code
a simulation-based end-to-end learning framework for evidential occupancy grid mapping	EviLOG
beamforming using digital piezoelectric mems microphone array	vm3000-microphones
decoding supercodes of gabidulin codes and applications to cryptanalysis	Attack_on_LIGA
error coefficient-reduced polar/pac codes	Error-Coefficient-reduced-Polar-PAC-Codes

2021-11-19

paper	code
deep reinforcement learning-designed radiofrequency waveform in mri	deeprf
integrating expert knowledge with domain adaptation for unsupervised fault diagnosis	syn2real

2021-11-18

paper	code
lidar and position-aided mmwave beam selection with non-local cnns and curriculum training	LIDAR-mmWave-Beam-Selection
deep learning based mac via joint channel access and rate adaptation	Wireless-Signal-Strength-on-2.4GHz-WSS24-dataset

2021-11-17

paper	code
channel estimation and data detection analysis of massive mimo with 1-bit adcs	ch_est_data_det_1-bit
towards off-the-grid algorithms for total variation regularized inverse problems	tvsfw
joint inference of multiple graphs with hidden variables from stationary graph signals	hidden_joint_inference
r-local sensing: improved algorithm and applications	r-local-unlabeled-sensing
deep diffusion models for robust channel estimation	diffusion-channels

2021-11-16

paper	code
grassmannian optimization for online tensor completion and tracking with the t-svd	TOUCAN
electromagnetic model of reflective intelligent surfaces	Intelligent-Surfaces
optimal power allocation in downlink multicarrier noma systems: theory and fast algorithms	optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization
delay-oriented distributed scheduling using graph neural networks	gcn-dql
neural capacity estimators: how reliable are they?	nce_icc-2022
power allocation for wireless federated learning using graph neural networks	wirelessfl-pdgnet
benefit of joint doa and delay estimation with application to indoor localization in wifi and 5g	jade
categorical perception: a groundwork for deep learning	categorical_perception_ann_neco
quasifibrations of graphs to find symmetries in biological networks	qf

2021-11-15

paper	code
hlt-nus submission for 2020 nist conversational telephone speech sre	ecapatdnn

2021-11-12

paper	code
variational quantum algorithms for trace distance and fidelity estimation	Quantum

2021-11-11

paper	code
eegeyenet: a simultaneous electroencephalography and eye-tracking dataset and benchmark for eye movement prediction	eegeyenet
resnests and densenests: block-based dnn models with improved representation guarantees	resnest
neural distributed image compression using common information	NDIC

2021-11-10

paper	code
lord-net: unfolded deep detection network with low-resolution receivers	LoRD-Net
proactive and aoi-aware failure recovery for stateful nfv-enabled zero-touch 6g networks: model-free drl approach	ZT-PFR
transfer bayesian meta-learning via weighted free energy minimization	meta_learning_pacoh
compressing sensor data for remote assistance of autonomous vehicles using deep generative models	deep_generative_models
phase retrieval using expectation consistent signal recovery algorithm based on hypernetwork	gec-sr-pr-hypernets
can information flows suggest targets for interventions in neural circuits?	ann-info-flow

2021-11-09

paper	code
estimating the magnitude and phase of automotive radar signals under multiple interference sources with fully convolutional networks	arim-v2
homological time series analysis of sensor signals from power plants	TwirlFlake
learning sparse analytic filters for piano transcription	sparse-analytic-filters
rf-net: a unified meta-learning framework for rf-enabled one-shot human activity recognition	rfnet
frequency-dependent $f$-number increases the contrast and the spatial resolution in fast pulse-echo ultrasound imaging	f_number
linguistic dependencies and statistical dependence	cpmi-dependencies
a space of goals: the cognitive geometry of informationally bounded agents	cognitive-geometry
geodesic curves in gaussian random field manifolds	rk4_geodesic_gmrf

2021-11-08

paper	code
correlation-aware cooperative multigroup broadcast 360{\deg} video delivery network: a hierarchical deep reinforcement learning approach	Hierarchical-Multi-agent-DRL-with-Federated-Learning
scalable perception-action-communication loops with convolutional and graph neural networks	VGAI
scalable multi-agent reinforcement learning algorithm for wireless networks	Fed-MF-MAL
millimeter wave wireless assisted robot navigation with link state classification	mmwRobotNav
deep-learning based linear precoding for mimo channels with finite-alphabet signaling	optimalprecodingmimo

2021-11-05

paper	code
maus: a dataset for mental workload assessmenton n-back task using wearable sensor	MAUS_dataset_baseline_system
on the distribution of the information density of gaussian random vectors: explicit formulas and tight approximations	information-density
partition and code: learning how to compress graphs	PnC

2021-11-04

paper	code
diagnosis of intelligent reflecting surface in millimeter-wave communication systems	IRSdiagnosis

2021-11-03

paper	code
a machine-learning-based direction-of-origin filter for the identification of radio frequency interference in the search for technosignatures	doom
efficient hierarchical bayesian inference for spatio-temporal regression models in neuroimaging	dugh-neurips-2021

2021-11-02

paper	code
complex convolutional neural networks for ultrafast ultrasound image reconstruction from in-phase/quadrature signal	cid-net
unique sparse decomposition of low rank matrices	Unique_Fac_of_Low_Rank
a novel 1d state space for efficient music rhythmic analysis	1d-statespace
an information-theoretic approach to distribution shifts	dsit
heterogeneous multi-player multi-armed bandits: closing the gap and generalization	mpmab_beacon
generalized data weighting via class-level gradient manipulation	gdw-nips2021

2021-11-01

paper	code
channel estimation and data detection analysis of massive mimo with 1-bit adcs	ch_est_data_det_1-bit
ecg-based heart arrhythmia diagnosis through attentional convolutional neural networks	heart-arrhythmia-diagnosis-with-deep-learning

2021-10-29

paper	code
nch sleep databank: a large collection of real-world pediatric sleep studies	sleep_study
self-supervised eeg representation learning for automatic sleep staging	contrawr
error thresholds for arbitrary pauli noise	graph-states-coherent-info
modelling the utility of group testing for public health surveillance	group-testing

2021-10-28

paper	code
robust generalization despite distribution shift via minimum discriminating information	pmdi_dro
(almost) free incentivized exploration from decentralized learning agents	observe_then_incentivize

2021-10-27

paper	code
recovery analysis for plug-and-play priors using the restricted eigenvalue condition	pnp-recovery
resilient uav swarm communications with graph convolutional neural network	resilient-swarm-communications-with-meta-graph-convolutional-networks
neural estimators for conditional mutual information using nearest neighbors sampling	CMI_Neural_Estimator
leadcache: regret-optimal caching in networks	leadcache-neurips21

2021-10-26

paper	code
signal processing based deep learning for blind symbol decoding and modulation classification	dual_path_network
task-based graph signal compression	graph_signal_compression
optimal sic ordering and power allocation in downlink multi-cell noma systems	Optimal-JSPA-MultiCell-NOMA
teramimo: a channel simulator for wideband ultra-massive mimo terahertz communications	TeraMIMO

2021-10-22

paper	code
learning to demodulate from few pilots via offline and online meta-learning	meta-demodulator
meta-learning to communicate: fast end-to-end training for fading channels	meta-autoencoder
end-to-end fast training of communication links without a channel model via online meta-learning	meta-autoencoder-without-channel-model
truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling	truly_shift_invariant_cnns
real-m: towards speech separation on real mixtures	sisnr-estimation
from learning to meta-learning: reduced training overhead and complexity for communication systems	meta-autoencoder
on fading channel dependency structures with a positive zero-outage capacity	zero-outage-joint-distributions

2021-10-20

paper	code
learning task-oriented communication for edge inference: an information bottleneck approach	VL-VFE
easycom: an augmented reality dataset to support algorithms for easy communication in noisy environments	EasyComDataset
wideband and entropy-aware deep soft bit quantization	wideband-llr-deep
learning to learn graph topologies	l2g-neurips2021
a cautionary tale on fitting decision trees to data from additive models: generalization lower bounds	additive_trees

2021-10-19

paper	code
learning how to demodulate from few pilots via meta-learning	meta-demodulator
localized fourier analysis for graph signal processing	loclets
unsupervised learned kalman filtering	Unsupervised_ICASSP22
perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising	perturbative_mean_field_matrix_factorization

2021-10-18

paper	code
edge-sr: super-resolution for the masses	esr

2021-10-15

paper	code
grouped variable selection for generalized eigenvalue problems	benchmarkStudySensorSelection
node-screening tests for l0-penalized least-squares problem with supplementary material	bnb-screening
stability analysis of unfolded wmmse for power allocation	stability-uwmmse
smgc: a complex-valued graph convolutional network via magnetic laplacian for directed graphs	MGCs
new instances of quadratic apn functions	quadratic_apn
construction of optimal spectral methods in phase retrieval	Optimal_Spectral_Methods_PR
mode-wise tensor decompositions: multi-dimensional generalizations of cur decompositions	Modewise_Tensor_Decomp
admm-dad net: a deep unfolding network for analysis compressed sensing	ADMM-DAD

2021-10-14

paper	code
conditional independence for pretext task selection in self-supervised speech representation learning	Pseudo-Label-Selection
sdr -- medium rare with fast computations	fast_bss_eval
a primer on near-field beamforming for arrays and reconfigurable intelligent surfaces	nearfield-primer
full-stack comparison of channel models for networks above 100 ghz in an indoor scenario	thz-mmnets-2021

2021-10-13

paper	code
benchmarking deep inverse models over time, and the neural-adjoint method	BDIMNNA
on entropy and bit patterns of ring oscillator jitter	bitpat
smoothed separable nonnegative matrix factorization	smoothed-separable-nmf
deepfilternet: a low complexity speech enhancement framework for full-band audio based on deep filtering	deepfilternet
nearest subspace search in the signed cumulative distribution transform space for 1d signal classification	PyTransKit
label-aware ranked loss for robust people counting using automotive in-cabin radar	labelawareranked-loss
classification of anomalous gait using machine learning techniques and embedded sensors	HumanGait
evaluation of latent space disentanglement in the presence of interdependent attributes	dependency-aware-mi-metrics
learned robust pca: a scalable deep unfolding approach for high-dimensional outlier detection	lrpca
information theoretic structured generative modeling	structured-generative-modeling

2021-10-12

paper	code
pm2.5-gnn: a domain knowledge enhanced graph neural network for pm2.5 forecasting	PM2.5-GNN
privacy for free: wireless federated learning via uncoded transmission with adaptive power control	Privacy4Free_DPWFL
deep joint source-channel coding for wireless image transmission with adaptive rate control	dynamic_jscc
topological data analysis (tda) techniques enhance hand pose classification from ecog neural recordings	ecog_vbh_2021
rtsnet: deep learning aided kalman smoothing	rtsnet_icassp22
uncertainty in data-driven kalman filtering for partially known state-space models	errcov_icassp22
application of graph convolutions in a lightweight model for skeletal human motion forecasting	lightweight-motion-forecasting
chaos as an interpretable benchmark for forecasting and data-driven modelling	dysts
wavefuse: a unified deep framework for image fusion with discrete wavelet transform	WaveFuse_code
[transfer learning based multi-objective genetic algorithm for dynamic community detection](https://a