hanghoo / daily_arxiv

Thanks for https://github.com/zhuwenxing/daily_arxiv. Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

2024-06-10

paper	code
safe value functions	vibly
data-driven observability analysis for nonlinear stochastic systems	data-obs
learning coverage paths in unknown environments with deep reinforcement learning	rl-cpp
neural control system for continuous glucose monitoring and maintenance	NeuralCGMM
active sensing for reciprocal mimo channels	active-sensing-for-reciprocal-mimo-channels
adversarial attacks and defenses in fault detection and diagnosis: a comprehensive benchmark on the tennessee eastman process	fdd-defense
configuration-constrained tube mpc for tracking	CCTMPC_tracking
dyst (did you see that?): an amplified covert channel that points to previously seen data	dyst
s$\omega$i: score-based o-information estimation	soi
revisiting attention weights as interpretations of message-passing neural networks	gatt

2024-06-07

paper	code
clarifying the effect of mean subtraction on dynamic mode decomposition	msub_mdselect_dmd
selective noise suppression methods using random svpwm to shape the noise spectrum of pmsms	SNS-in-random-SVPWM
boosting reinforcement learning with strongly delayed feedback through auxiliary short delays	ad-rl
parameter-adaptive approximate mpc: tuning neural-network controllers without retraining	adaptive-ampc-cartpole
privacy preserving semi-decentralized mean estimation over intermittently-connected networks	private-collaborative-relaying
active ml for 6g: towards efficient data generation, acquisition, and annotation	active_ML_6G
untrained neural nets for snapshot compressive imaging: theory and algorithms	SCI-BDVP

2024-06-06

paper	code
lyapunov-stable neural control for state and output feedback: a novel formulation	lyapunov_stable_nn_controllers
interpreting deepcode, a learned feedback code	deepcode-interpretability
random matrix theory improved fr'echet mean of symmetric positive definite matrices	icml-rmt-2024
sound heuristic search value iteration for undiscounted pomdps with reachability objectives	hsvi-rp
commonpower: supercharging machine learning for smart grids	commonpower
solving differential equations using physics-informed deep equilibrium models	pideq
deeppolar: inventing nonlinear large-kernel polar codes via deep learning	deeppolar
routeplacer: an end-to-end routability-aware placer with graph neural network	routeplacer

2024-06-05

paper	code
robust waveform design for integrated sensing and communication	robust-waveform
dynamics harmonic analysis of robotic systems: application in data-driven koopman modelling	dynamicsharmonicsanalysis
morphological symmetries in robotics	morphosymm
understanding the differences in foundation models: attention, state space models, and recurrent neural networks	dsf-mqar
fast networked data selection via distributed smoothed quantile estimation	distributedfasttopkselection
version control of speaker recognition systems	SpeakerVerSim
kernel vs. kernel: exploring how the data structure affects neural collapse	shallow_nc1

2024-06-04

paper	code
deep optimal transport for domain adaptation on spd manifolds	deep-optimal-transport-for-domain-adaptation-on-spd-manifolds
hypergraph-mlp: learning on hypergraphs without message passing	hypergraph-mlp
a simulation preorder for koopman-like lifted control systems	simlifsys
scalable multi-modal model predictive control via duality-based interaction predictions	hmpc_raidnet
implicit bias of policy gradient in linear quadratic control: extrapolation to unseen initial states	imp_bias_control
learning to optimize with convergence guarantees using nonlinear system theory	convergentl2o
regime learning for differentiable particle filters	Regime_Switching
state-free inference of state-space models: the transfer function approach	RTF
an unsupervised approach for periodic source detection in time series	unsupervised_periodicity_detection
a gaussian process-based streaming algorithm for prediction of time series with regimes and outliers	Lintel
vertecs: a cots-based payload interface board to enable next generation astronomical imaging payloads	vertecs-ccb
implementing reinforcement learning datacenter congestion control in nvidia nics	rl-cc
how can we train deep learning models across clouds and continents? an experimental study	hivemind-multi-cloud
the information geometry of umap	info-geometry-umap
fadam: adam is a natural gradient optimizer using diagonal empirical fisher information	fadam_pytorch
physics-informed deep learning and compressive collocation for high-dimensional diffusion-reaction equations: practical existence theory and numerics	PINN_high_dimensional_PDE

2024-06-03

paper	code
mixed-integer optimal control via reinforcement learning: a case study on hybrid electric vehicle energy management	td3aq

2024-05-31

paper	code
a large-scale evaluation of speech foundation models	s3prl
eeg-dbnet: a dual-branch network for temporal-spectral decoding in motor-imagery brain-computer interfaces	eeg-dbnet
medformer: a multi-granularity patching transformer for medical time-series classification	medformer

2024-05-30

paper	code
signal processing meets sgd: from momentum to filter	SGDF-Optimizer
faultformer: pretraining transformers for adaptable bearing fault classification	faultformer
random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation	magnav
goal-reaching trajectory design near danger with piecewise affine reach-avoid computation	parc
convex neural network synthesis for robustness in the 1-norm	convex-nn-synthesis-1norm
on the properties and estimation of pointwise mutual information profiles	bmi
track initialization and re-identification for~3d multi-view multi-object tracking	mv-glmb-ab

2024-05-29

paper	code
assessment of unsteady flow predictions using hybrid deep learning based reduced order models	Assessment-of-hybrid-DLROM
multi-device task-oriented communication via maximal coding rate reduction	taskcommmcr2
structure-preserving transformers for sequences of spd matrices	spdtransnet
learning locally interacting discrete dynamical systems: towards data-efficient and scalable prediction	arnca
a general framework for supporting economic feasibility of generator and storage energy systems through capacity and dispatch optimization	ecogen-ccd
outlier-robust kalman filtering through generalised bayes	weighted-likelihood-filter
sleepfm: multi-modal representation learning for sleep across brain activity, ecg and respiratory signals	sleepfm-codebase
reinforced model predictive control via trust-region quasi-newton policy optimization	ecc24_tr_improved_qn_po_for_mpc_in_rl
llm experiments with simulation: large language model multi-agent system for process simulation parametrization in digital twins	llmdrivensimulation
sensor-based distributionally robust control for safe robot navigation in dynamic environments	DR_Safe_Navigation
a linear algebraic framework for dynamic scheduling over memory-equipped quantum networks	dynschedsimulator_journal
mambavc: learned visual compression with selective state spaces	2024-mambavc
enhancing sustainable urban mobility prediction with telecom data: a spatio-temporal framework approach	teltomob

2024-05-28

paper	code
a non-interior-point continuation method for the optimal control problem with equilibrium constraints	nipocpec
enn: a neural network with dct adaptive activation functions	enn
dynamics harmonic analysis of robotic systems: application in data-driven koopman modelling	dynamicsharmonicsanalysis
physics-informed appliance signatures generator for energy disaggregation	edframe
complete and near-optimal robotic crack coverage and filling in civil infrastructure	crack-filling-robot
intention-aware control based on belief-space specifications and stochastic expansion	intentaware
wav-kan: wavelet kolmogorov-arnold networks	Wav-KAN
safe deep model-based reinforcement learning with lyapunov functions	salved
usd: unsupervised soft contrastive learning for fault detection in multivariate time series	code_usd
netmamba: efficient network traffic classification via pre-training unidirectional mamba	NetMamba

2024-05-27

paper	code
adversarial imitation learning from visual observations using latent information	ail_from_visual_obs
pde control gym: a benchmark for data-driven boundary control of partial differential equations	pdecontrolgym
on robust controlled invariants for continuous-time monotone systems	Contro_invariants
analog or digital in-memory computing? benchmarking through quantitative modeling	zigzag-imc
understanding the differences in foundation models: attention, state space models, and recurrent neural networks	dsf-mqar
perfect codes over non-prime power alphabets: an approach based on diophantine equations	perfect-q-ary-codes

2024-05-24

paper	code
planar friction modelling with lugre dynamics and limit surfaces	frictionmodelling
k-band: self-supervised mri reconstruction via stochastic gradient descent over k-space subsets	k-band
eegdir: electroencephalogram denoising network for temporal information storage and global modeling through retentive network	EEGDiR
identifiability of differential-algebraic systems	identifiabilitydae
a truly concurrent semantics for reversible ccs	reversible-ccs-as-nets

2024-05-22

paper	code
learning-based rigid tube model predictive control	tube-robust-mpc-with-uncertainty-quantification
reinforcement learning with model predictive control for highway ramp metering	mpcrl-for-ramp-metering
agile but safe: learning collision-free high-speed legged locomotion	abs
optimizing polynomial graph filters: a novel adaptive krylov subspace approach	AdaptKry
adversarial attacks and defenses in automated control systems: a comprehensive benchmark	fdd-defense
neuromorphic control of a pendulum	neuromorphic-pendulum-control
real-time safe control of neural network dynamic models with sound approximation	bond
an efficient compression method for sign information of dct coefficients via sign retrieval	sr
a gan-based data poisoning attack against federated learning systems and its countermeasure	vaguegan-data-poisoning-attack-and-its-countermeasure

2024-05-21

paper	code
openstreetmap-based autonomous navigation with lidar naive-valley-path obstacle avoidance	lib_planning
surrogate-based cross-correlation for particle image velocimetry	sbcc
discrete approximations of gaussian smoothing and gaussian derivatives	pyscsp
learning reduced-order linear parameter-varying models of nonlinear systems	sysid-2024-rom-lpv-learning
system-level safety guard: safe tracking control through uncertain neural network dynamics models	milpsafetyguard
global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems	gr-madrl-amod
stable and safe human-aligned reinforcement learning through neural ordinary differential equations	neural-ordinary-differential-equations-based-lyapunov-barrier-actor-critic-nlbac
rscnet: dynamic csi compression for cloud-based wifi sensing	rscnet
surrogate modeling and control of medical digital twins	Metamodeling-and-Control-of-Medical-Digital-Twins_2024
joint chance constrained optimal control via linear programming	jcc_opt_control_lp
bounding stochastic safety: leveraging freedman's inequality with discrete-time control barrier functions	freedman
on the equivalence of direct and indirect data-driven predictive control approaches	ddpc
approximation properties relative to continuous scale space for hybrid discretizations of gaussian derivative operators	pyscsp
adaptive koopman embedding for robust control of complex nonlinear dynamical systems	adaptive-koopman
mamca -- optimal on accuracy and efficiency for automatic modulation classification with extended signal length	mamca
on robust reinforcement learning with lipschitz-bounded policy networks	Lipschitz-RL-MJX
teal: learning-accelerated optimization of wan traffic engineering	teal
interpretable diffusion via information decomposition	info-decomp
differentially private fair binary classifications	dp_fair_binary
netmamba: efficient network traffic classification via pre-training unidirectional mamba	NetMamba

2024-05-20

paper	code
safety guarantees for neural network dynamic systems via stochastic barrier functions	neuralnetcontrolbarrier
stlccp: an efficient convex optimization-based framework for signal temporal logic specifications	stlccp
secure set-based state estimation for linear systems under adversarial attacks on sensors	Secure-Set-Based-Estimation
simba: system identification methods leveraging backpropagation	simba
input convex lipschitz rnn: a fast and robust approach for engineering tasks	iclrnn
exploring new territory: calibration-free decoding for c-vep bci	pyntbci
robust beamforming with gradient-based liquid neural network	GLNN
physics-informed heterogeneous graph neural networks for dc blocker placement	swmp_ml
baseline results for selected nonlinear system identification benchmarks	nonlinear_baselines
implementation of openapi wireshark dissectors to validate sbi messages of 5g core networks	OpenAPI-Dissector

2024-05-17

paper	code
reinforcement learning based autonomous multi-rotor landing on moving platforms	rl_multi_rotor_landing
$f$-divergence based classification: beyond the use of cross-entropy	discriminative-classification-fdiv
kid-ppg: knowledge informed deep learning for extracting heart rate from a smartwatch	KID-PPG
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
autorl hyperparameter landscapes	autorl-landscape
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
joint instantaneous amplitude-frequency analysis of vibration signals for vibration-based condition monitoring of rolling bearings	Joint-Instantaneous-Amplitude-Frequency-Analysis-for-Vibration-Based-Condition-Monitoring
on identifying the non-linear dynamics of a hovercraft using an end-to-end deep learning approach	holohover-sysid
a quantum of quic: dissecting cryptography with post-quantum insights	quic-crypto-paper

2024-05-15

paper	code
differentiable bilevel programming for stackelberg congestion games	Differentiable-Bilevel-Programming
multi-target tracking with transferable convolutional neural networks	mtt
dissipativity-based decentralized co-design of distributed controllers and communication topologies for vehicular platoons	longitudinal-vehicular-platoon-simulator
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
a decentralized and self-adaptive approach for monitoring volatile edge environments	demon
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
accelerating time-to-science by streaming detector data directly into perlmutter compute nodes	streaming-paper-with-code
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
closed-loop koopman operator approximation	closed_loop_koopman
physics-inspired neural networks for parameter learning of adaptive cruise control systems	acc_identification_pinns
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
state-free inference of state-space models: the transfer function approach	RTF
optimal beamforming of ris-aided wireless communications: an alternating inner product maximization approach	RIS_Optimization
dyst (did you see that?): an amplified covert channel that points to previously seen data	dyst

2024-05-12

paper	code
outlier-robust kalman filtering through generalised bayes	weighted-likelihood-filter

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
physics-informed representation and learning: control and risk quantification	path-integral-pinn
a flow-based model for conditional and probabilistic electricity consumption profile generation and prediction	full-convolutional-time-series-flow
layerplexrank: exploring node centrality and layer influence through algebraic connectivity in multiplex networks	LayerPlexRank

2024-05-09

paper	code
data augmentation for generating synthetic electrogastrogram time series	syegg
probabilistic game-theoretic traffic routing	mdp_traffic_nonlinear
enhancing deep reinforcement learning: a tutorial on generative diffusion models in network optimization	gdmopt
tinympc: model-predictive control on resource-constrained microcontrollers	TinyMPC
uncertainty-aware bayes' rule and its applications	bayes-rule
exploiting symmetry in dynamics for model-based reinforcement learning with asymmetric rewards	symmetry-cs285
regime learning for differentiable particle filters	Regime_Switching
communication-efficient collaborative perception via information filling with codebook	codefilling

2024-05-08

paper	code
global performance guarantees for neural network models of ac power flow	verifystrongsdp
match-based solution of general parametric eigenvalue problems	pevp_match
robofisense: attention-based robotic arm activity recognition with wifi sensing	robofisense
role of sensing and computer vision in 6g wireless communications	VOBEM2
utnt: unikernels for efficient and flexible internet probing	utnt
learning linear block error correction codes	e2e_dc_ecct

2024-05-07

paper	code
ultimatekalman: flexible kalman filtering and smoothing using orthogonal transformations	ultimate-kalman
providing safety assurances for systems with unknown dynamics	safety_assurances_for_unknown_dynamics
creating synthetic energy meter data using conditional diffusion and building metadata	energy-diffusion
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
analysis of the identifying regulation with adversarial surrogates algorithm	iras
performance evaluation of real-time object detection for electric scooters	scooterdet
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
deduplicator: when computation reuse meets load balancing at the network edge	deduplicator
perfect codes over non-prime power alphabets: an approach based on diophantine equations	perfect-q-ary-codes
reinwifi: a reinforcement-learning-based framework for the application-layer qos optimization of wifi networks	ReinWiFi

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
reinforcement learning control strategies for electric vehicles and renewable energy sources virtual power plants	RL_VPP_Thesis
identification of snps in genomes using gramep, an alignment-free method based on the principle of maximum entropy	gramep

2024-05-03

paper	code
leveraging queue length and attention mechanisms for enhanced traffic signal control optimization	attentionlight
denoiser-based projections for 2-d super-resolution multi-reference alignment	denoiser_projection
reinforcement learning based autonomous multi-rotor landing on moving platforms	rl_multi_rotor_landing
coordinate-based neural representations for computational adaptive optics in widefield microscopy	cocoa
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
learning to boost the performance of stable nonlinear systems	performance-boosting_controllers
lipschitz constant estimation for general neural network architectures using control tools	GLipSDP
koopman data-driven predictive control with robust stability and recursive feasibility guarantees	KDPC_RSRFG
flagvne: a flexible and generalizable reinforcement learning framework for network resource allocation	flag-vne

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
closed-loop koopman operator approximation	closed_loop_koopman
meta-state-space learning: an identification approach for stochastic dynamical systems	metass-code-repo
the information geometry of umap	info-geometry-umap
a high-performance design, implementation, deployment, and evaluation of the slim fly network	opensm
an efficient difference-of-convex solver for privacy funnel	dcaPF-torch
age-minimal multicast by graph attention reinforcement learning	TGMS

2024-05-01

paper	code
a sparse admm-based solver for linear mpc subject to terminal quadratic constraint	Spcies
multi-task learning for radar signal characterisation	radchar
scalable multi-modal model predictive control via duality-based interaction predictions	hmpc_raidnet
goal-reaching trajectory design near danger with piecewise affine reach-avoid computation	parc
formal verification of linear temporal logic specifications using hybrid zonotope-based reachability analysis	zonopy
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
cachegen: kv cache compression and streaming for fast language model serving	cachegen
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
enhanced power point tracking for high hysteresis perovskite solar cells: a galvanostatic approach	perovskino
the role of identification in data-driven policy iteration: a system theoretic study	datadrivenpolicyiteration-ipi-dpi
fully differentiable ray tracing via discontinuity smoothing for radio network optimization	differt2d
optistate: state estimation of legged robots using gated networks with transformer-based vision and kalman filtering	optistate
siamquality: a convnet-based foundation model for imperfect physiological signals	siamquality
adaptive reinforcement learning for robot control	adaptive_agent
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
collision avoidance verification of multiagent systems with learned policies	rebar
telco-rag: navigating the challenges of retrieval-augmented language models for telecommunications	telco-rag
interpreting deepcode, a learned feedback code	deepcode-interpretability
open world learning graph convolution for latency estimation in routing networks	routinggnn_appendix
enumeration of minimum weight codewords of pre-transformed polar codes by tree intersection	ptpc
a novel protocol using captive portals for fido2 network authentication	fido2cap-server
compiler for distributed quantum computing: a reinforcement learning approach	compilerdqc

2024-04-26

paper	code
coordinate-based neural representations for computational adaptive optics in widefield microscopy	cocoa
luvira dataset validation and discussion: comparing vision, radio, and audio sensors for indoor localization	luvira_dataset
simba: simplified mamba-based architecture for vision and multivariate time series	simba
power failure cascade prediction using graph neural networks	failure-cascade
distributed mpc for pwa systems based on switching admm	stable-dmpc-pwa
learning-based efficient approximation of data-enabled predictive control	redpc

2024-04-25

paper	code
controlgym: large-scale control environments for benchmarking reinforcement learning algorithms	controlgym
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
deep hankel matrices with random elements	deephankel
jitter characterization of the hyti satellite	hyti_jitter_metrology
message-passing on hypergraphs: detectability, phase transitions and higher-order information	hypergraph-message-passing

2024-04-24

paper	code
otterros: picking and programming an uncrewed surface vessel for experimental field robotics research with ros 2	otter_ros
protect: parallelized construction of safety barrier certificates for nonlinear polynomial systems	protect
mutualized oblivious dns ($\mu$odns): hiding a tree in the wild forest	dnscrypt-proxy-modns

2024-04-23

paper	code
optimization-based exploration of the feasible power flow space for rapid data collection	data-collection-algorithm
learning near-optimal intrusion responses against dynamic attackers	csle
scalable learning of intrusion responses through recursive decomposition	csle
using explainable ai to investigate electrocardiogram changes during healthy aging -- from expert features to raw signals	ecg-aging
input convex lstm: a convex approach for fast model predictive control	iclstm
multi-objective transmission expansion: an offshore wind power integration case study	motep-osw
scalable multi-modal model predictive control via duality-based interaction predictions	hmpc_raidnet
integrating physics-informed neural networks into power system dynamic simulations	integrating-pinns-to-tds
$\mathsf{quito}$ $\textsf{v.2}$: trajectory optimization with uniform error guarantees under path constraints	quitov2
adaptive heterogeneous client sampling for federated learning over wireless networks	wirelessfl
a multimodal feature distillation with cnn-transformer network for brain tumor segmentation with incomplete modalities	mctseg
finding effective security strategies through reinforcement learning and self-play	gym-idsgame
learning intrusion prevention policies through optimal stopping	gym-optimal-intrusion-response
intrusion prevention through optimal stopping	gym-optimal-intrusion-response
a high-performance design, implementation, deployment, and evaluation of the slim fly network	opensm
5g-wave: a core network framework with decentralized authorization for network slices	5G-WAVE-Infocom2024
icst-dnet: an interpretable causal spatio-temporal diffusion network for traffic speed prediction	icst-dnet
llamp: assessing network latency tolerance of hpc applications with linear programming	llamp
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
distributed model predictive control for heterogeneous platoons with affine spacing policies and arbitrary communication topologies	dmpc_itsc_2024
learning stable and passive neural differential equations	stablenode
leveraging p90 requirement: flexible resources bidding in nordic ancillary service markets	p90_drjcc

2024-04-19

paper	code
beacon, a lightweight deep reinforcement learning benchmark library for flow control	beacon
intention-aware control based on belief-space specifications and stochastic expansion	intentaware
incremental measurement of structural entropy for dynamic graphs	incre-se

2024-04-18

paper	code
the luvira dataset: measurement description	luvira_dataset
drift control of high-dimensional rbm: a computational method based on neural networks	rbmsolver
caster: a computer-vision-assisted wireless channel simulator for gesture recognition	testspectrogram
singular control of (reflected) brownian motion: a computational method suitable for queueing applications	singularcontrol
diffdet4sar: diffusion-based aircraft target detection network for sar images	DiffDet4SAR
cobrapro: a matlab toolbox for physics-based battery modeling and co-simulation parameter optimization	cobrapro
sustainability of data center digital twins with reinforcement learning	dc-rl
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
gauss-newton meets panoc: a fast and globally convergent algorithm for nonlinear optimal control	panoc-gauss-newton-ifac-experiments
learning-based optimal control with performance guarantees for unknown systems with latent states	pgopt
multi-agent reinforcement learning via distributed mpc as a function approximator	dmpcrl-concept
graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networks	GNN-UDS

2024-04-16

paper	code
adaptive hybrid local-global sampling for fast informed sampling-based optimal path planning	cari_motion_planning
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
pegasus simulator: an isaac sim framework for multiple aerial vehicles simulation	PegasusSimulator
circular economy meets building automation	GIFTS
on the semi-blind mutually referenced equalizers for mimo systems	Semi-blind_Mutually_Referenced_Equalizers
av4ev: open-source modular autonomous electric vehicle platform for making mobility research accessible	gokart-mechatronics
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
toward an ai-enabled connected industry: agv communication and sensor measurement datasets	ai4mobile-industrial
interactive generative ai agents for satellite networks through a mixture of experts transmission	gai-agent-satellite
compression represents intelligence linearly	llm-compression-intelligence

2024-04-15

paper	code
synthesis of stabilizing recurrent equilibrium network controllers	stabilizing-ren
neural-fly enables rapid learning for agile flight in strong winds	neural-fly
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
lightweight multi-system multivariate interconnection and divergence discovery	lidd
reinforcement learning with non-cumulative objective	reinforcement_learning_with_non-cumulative_objective
transfer learning with reconstruction loss	transfer_learning_with_reconstruction_loss

2024-04-12

paper	code
automatic nonlinear mpc approximation with closed-loop guarantees	alkia-x
cell-free multi-user mimo equalization via in-context learning	cell-free-mimo-icl
synthesizing neural network controllers with closed-loop dissipativity guarantees	stabilizing-ren
ekf-sindy: empowering the extended kalman filter with sparse identification of nonlinear dynamics	ekf-sindy
trainable joint channel estimation, detection and decoding for mimo urllc systems	jcddnet
lyapunov-stable neural control for state and output feedback: a novel formulation for efficient synthesis and verification	lyapunov_stable_nn_controllers
version control of speaker recognition systems	SpeakerVerSim
demystifying why local aggregation helps: convergence analysis of hierarchical sgd	hierarchical-sgd
representation learning of tangled key-value sequence data for early classification	kvec_project
on naisargik images of varshamov-tenengolts and helberg codes	grayvt

2024-04-11

paper	code
bones: near-optimal neural-enhanced video streaming	bones
an experimental evaluation of deep reinforcement learning algorithms for hvac control	paper-drl_building
what is learnt by the learnable front-end (leaf)? adapting per-channel energy normalisation (pcen) to noisy conditions	adapting-leaf
enhancing safety in mixed traffic: learning-based modeling and efficient control of autonomous and human-driven vehicles	mixed-traffic-gp-mpc
multi-agent soft actor-critic with global loss for autonomous mobility-on-demand fleet control	hybridmadrl-amod-relocation
algebraic proofs of path disconnectedness using time-dependent barrier functions	set_connected
cbfkit: a control barrier function toolbox for robotics applications	cbfkit
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
breaking symmetries leads to diverse quadrupedal gaits	breakingsymmetryleadstodiversegaits
on the existence of steady-state solutions to the equations governing fluid flow in networks	existencegasflowruns
detecting and mitigating system-level anomalies of vision-based controllers	visual_failure_mitigation
learning to fly in seconds	learning-to-fly
mpc-inspired reinforcement learning for verifiable model-free control	learning-qp
global geolocated realtime data of interfleet urban transit bus idling	idling
convex reformulation of lmi-based distributed controller design with a class of non-block-diagonal lyapunov functions	lmi-based_distributed_controller_design_with_non-block-diagonal_lyapunov_functions
a cyber manufacturing iot system for adaptive machine learning model deployment by interactive causality enabled self-labeling	iot-platform-backend
synaptogen: a cross-domain generative device model for large-scale neuromorphic circuit design	synaptogen
paam: a framework for coordinated and priority-driven accelerator management in ros 2	reference-system-paam
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
integrating graceful degradation and recovery through requirement-driven adaptation	cps-degradation-recovery
spatial assisted human-drone collaborative navigation and interaction through immersive mixed reality	mri_ros_public
suppressing modulation instability with reinforcement learning	nlse-rl
neuromorphic control of a pendulum	neuromorphic-pendulum-control
otterros: picking and programming an uncrewed surface vessel for experimental field robotics research with ros 2	otter_ros
subspace phase retrieval	spr
fedstellar: a platform for decentralized federated learning	fedstellar
multi-sources information fusion learning for multi-points nlos localization	AMDNloc
session types for the transport layer: towards an implementation of tcp	tcpst2

2024-04-08

paper	code
csm-h-r: a context modeling framework in supporting reasoning automation for interoperable intelligent systems and privacy protection	csm-h-r
visual decoding and reconstruction via eeg embeddings with guided diffusion	eeg_image_decode
distributionally robust policy and lyapunov-certificate learning	DR_Stabilizing_Policy
diffdet4sar: diffusion-based aircraft target detection network for sar images	DiffDet4SAR
understanding the impact of coalitions between ev charging stations	coalition-ev
field teams coordination for earthquake-damaged distribution system energization	powerraft
generalizable temperature nowcasting with physics-constrained rnns for predictive maintenance of wind turbine components	pcrnn-wtg

2024-04-05

paper	code
decoding natural images from eeg for object recognition	nice-eeg
toward value-oriented renewable energy forecasting: an iterative learning approach	an-iterative-solution-approach-for-value-oriented-forecasting
real-time control of electric autonomous mobility-on-demand systems via graph reinforcement learning	graph-rl-for-eamod
reinforcement learning based dynamic power control for uav mobility management	asilomar-2023-ee-uav-varying-reliability
foundation models for structural health monitoring	tle-supervised
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
learning robust output control barrier functions from safe expert demonstrations	learning-rocbfs
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
singular control of (reflected) brownian motion: a computational method suitable for queueing applications	singularcontrol
perfecting periodic trajectory tracking: model predictive control with a periodic observer ($\pi$-mpc)	pi-mpc
model predictive control of district heating grids using stabilizing terminal ingredients	mpcofdhg_ecc24
integrating systemc-ams power modeling with a risc-v iss for virtual prototyping of battery-operated embedded devices	messy

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
differentially private distributed estimation and learning	dp-distributed-estimation
information theoretically optimal sample complexity of learning dynamical directed acyclic graphs	learning-dynamical-dags
sdemg: score-based diffusion model for surface electromyographic signal denoising	sdemg
anoca: ac network-aware optimal curtailment approach for dynamic hosting capacity	anoca
hyrrt-connect: a bidirectional rapidly-exploring random trees motion planning algorithm for hybrid systems	hyrrtconnect
creating synthetic energy meter data using conditional diffusion and building metadata	energy-diffusion
complex neural network based joint aoa and aod estimation for bistatic isac	bistatic_isac
openmines: a light and comprehensive mining simulation environment for truck dispatching	openmines
smooth information gathering in two-player noncooperative games	gamesvoi.jl
fingerprinting web servers through transformer-encoded http response headers	bachelor-thesis-information-science

2024-04-01

paper	code
square root lasso: well-posedness, lipschitz stability and the tuning trade off	srlasso_revolutions
online learning for robust voltage control under uncertain grid topology	voltctrl
exact recovery of the support of piecewise constant images via total variation regularization	2023-support-recovery-tv
feature-driven strategies for trading wind power and hydrogen	feature-driven-trading-of-wind-power-and-hydrogen
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
genos: general in-network unsupervised intrusion detection by rule extraction	genos-infocom24

2024-03-29

paper	code
efficient deep learning-based estimation of the vital signs on smartphones	medvse
gatekeeper: online safety verification and control for nonlinear systems in dynamic environments	gatekeeper
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
time-optimal control for high-order chain-of-integrators systems with full state constraints and arbitrary terminal states (extended version)	manifoldinterceptmethod
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
situation awareness for driver-centric driving style adaptation	sadc-situation-awareness-for-driver-centric-driving-style-adaptation
lane-change in dense traffic with model predictive control and neural networks	NNMPC
bft-poloc: a byzantine fortified trigonometric proof of location protocol using internet delays	proofoflocation
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
aggregate model of district heating network for integrated energy dispatch: a physically informed data-driven approach	aggregate-model-of-dhn-a-physically-informed-data-driven-approach
unconstrained learning of networked nonlinear systems via free parametrization of stable interconnected operators	distributedren
compositional inductive invariant based verification of neural network controlled systems	comp-indinv-verification-nncs
input convex lipschitz rnn: a fast and robust approach for engineering tasks	iclrnn
genet: a graph neural network-based anti-noise task-oriented semantic communication paradigm	genet
throughput maximization in multi-band optical networks with column generation	cg-multi-band
clustering change sign detection by fusing mixture complexity	mc-fusion

2024-03-27

paper	code
autonomous hook-based grasping and transportation with quadcopters	quadcopter_hook_1dof
frequency regulation with storage: on losses and profits	cost-of-frequency-regulation-through-electricity-storage
deltann: assessing the impact of computational environment parameters on the performance of image recognition models	deltann
optimal control of grid-interfacing inverters with current magnitude limits	Current-Magnitude-Limited-Inverter-Control
closing the gap to quadratic invariance: a regret minimization approach to optimal distributed control	spregret
a safe preference learning approach for personalization with applications to autonomous vehicles	SPL-WSTL
stable linear subspace identification: a machine learning approach	simba
robustness evaluation of localization techniques for autonomous racing	particle_filter
on the intersection of signal processing and machine learning: a use case-driven analysis approach	signal-processing-for-machine-learning
reinforcement learning-based receding horizon control using adaptive control barrier functions for safety-critical systems	cdc2024_rl_adpative_mpc_cbf
using quantum computers in control: interval matrix properties	radius-of-nonsingularity-using-qaoa
a pac-bayesian framework for optimal control with stability guarantees	pac-snoc
learning the optimal power flow: environment design matters	rl-opf-env-design
stealthy deactivation of safety filters	ecc24-sf
hill: hierarchy-aware information lossless contrastive learning for hierarchical text classification	hill

2024-03-26

paper	code
directionality-aware mixture model parallel sampling for efficient linear parameter varying dynamical system learning	damm
user training with error augmentation for electromyogram-based gesture classification	emg-feedback-user-training
synthesis of temporally-robust policies for signal temporal logic tasks using reinforcement learning	timerobustlearning
secure control of connected and automated vehicles using trust-aware robust event-triggered control barrier functions	trust_based_cbf
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
cachegen: kv cache compression and streaming for fast language model serving	cachegen
qkdnetsim+: improvement of the quantum network simulator for ns-3	qkdnetsim-dev
evaluation of greedy and cbf for etsi non-area geonetworking: the impact of dcc	vanetza
fool: addressing the downlink bottleneck in satellite computing with neural feature compression	the-fool

2024-03-25

paper	code
robust direct data-driven control for probabilistic systems	rddc
successive pose estimation and beam tracking for mmwave vehicular communication systems	Fast-CFEAR-Radar-Odometry
representative days and hours with piecewise linear transitions for power system planning	modified-rts-24-bus
stabilizing reinforcement learning control: a modular framework for optimizing over all stable behavior	stablebehavior.jl
model order reduction of deep structured state-space models: a system-theoretic approach	lru-reduction
on the solution uniqueness of data-driven modeling of flexible loads	on-the-solution-uniqueness-of-data-driven-modeling-of-flexible-loads
direct and indirect hydrogen storage: dynamics and interactions in the transition to a renewable energy based system for europe	direct-and-indirect-hydrogen-storage-dynamics-of-interactionswithin-europe-s-highly-renewable-energ
simba: simplified mamba-based architecture for vision and multivariate time series	simba
nezha: deployable and high-performance consensus using synchronized clocks	nezha
logpr'ecis: unleashing language models for automated malicious log analysis	logprecis

2024-03-22

paper	code
ma-vae: multi-head attention-based variational autoencoder approach for anomaly detection in multivariate time-series applied to automotive endurance powertrain testing	ma-vae
interpretable causal inference for analyzing wearable, sensor, and distributional data	addmalts
control of medical digital twins with artificial neural networks	abm-control
sequential modeling of complex marine navigation: case study on a passenger vessel (student abstract)	model_optimze_vessel
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
contingency analyses with warm starter using probabilistic graphical model	gridwarm
energy-efficient analog beamforming for rf-wet with charging time constraint	ee-analog-beamforming-wet
guaranteeing control requirements via reward shaping in reinforcement learning	reward-shaping-for-rl-based-control
iterative regularization with k-support norm: an important complement to sparse recovery	irksn_aaai2024
current-based impedance control for interacting with mobile manipulators	mobile-manipulator-compliance
page: prototype-based model-level explanations for graph neural networks	page
s$\omega$i: score-based o-information estimation	soi
starlink on the road: a first look at mobile starlink performance in central europe	starlink-on-the-road

2024-03-20

paper	code
deep joint source-channel coding over cooperative relay networks	relay_jscc
optimal robust network design: formulations and algorithms for maximizing algebraic connectivity	laplacianopt.jl
regret optimal control for uncertain stochastic systems	scenariosafeminregret
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
forzaeth race stack -- scaled autonomous head-to-head racing on fully commercial off-the-shelf hardware	race_stack
decomposing control lyapunov functions for efficient reinforcement learning	dclf-rl
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
nn-etm: enabling safe neural network-based event-triggering mechanisms for consensus problems	nn-etm
information decomposition in complex systems via machine learning	distributed-information-bottleneck.github.io
quic hunter: finding quic deployments and identifying server libraries across the internet	libraries
a fast and provable algorithm for sparse phase retrieval	sparsepr
language modeling is compression	language_modeling_is_compression
netbench: a large-scale and comprehensive network traffic benchmark dataset for foundation models	netbench

2024-03-19

paper	code
provably bounding neural network preimages	verify-input
deep nonnegative matrix factorization with beta divergences	deep-beta-nmf-public
data-driven forced oscillation localization using inferred impulse responses	fo_local
efficient quantification and representation of aggregate flexibility in electric vehicles	ul-flexibility
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
bounding stochastic safety: leveraging freedman's inequality with discrete-time control barrier functions	freedman
forward-backward extended dmd with an asymptotic stability constraint	forward_backward_koopman
leveraging symmetries in gaits for reinforcement learning: a case study on quadrupedal gaits	bittle_leveraging_symmetries_in_rl
robust co-design of canonical underactuated systems for increased certifiable stability	robust_codesign
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
smt-based dynamic multi-robot task allocation	smrta
multistep inverse is not all you need	acdf
learning dynamical systems encoding non-linearity within space curvature	learn-embedding
robust counterfactual explanations for neural networks with probabilistic guarantees	TReX-Counterfactuals
deciphering the enigma of satellite computing with cots devices: measurement and analysis	mobicom24-satellitecots
acm mmsys 2024 bandwidth estimation in real time communications challenge	rl4bandwidthestimationchallenge
clusterslice: a zero-touch deployment platform for the edge cloud continuum	clusterslice
brain-on-switch: towards advanced intelligent network data plane via nn-driven traffic analysis at line-speed	brain-on-switch

2024-03-18

paper	code
a time-causal and time-recursive analogue of the gabor transform	pygabor
a conversational brain-artificial intelligence interface	eegchat
compositionally verifiable vector neural lyapunov functions for stability analysis of interconnected nonlinear systems	acc24-compositional-neural-lyapunov
real-time scheduling for 802.1qbv time-sensitive networking (tsn): a systematic review and experimental study	tsnkit
the information geometry of umap	info-geometry-umap

2024-03-15

paper	code
on solar photovoltaic parameter estimation: global optimality analysis and a simple efficient differential evolution method	rePVest
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
regret and conservatism of distributionally robust constrained stochastic model predictive control	regret-and-conservatism-of-smpc
stable training of probabilistic models using the leave-one-out maximum log-likelihood objective	leave-one-out_maximum-log-likelihood
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
sindy-rl: interpretable and efficient model-based reinforcement learning	sindy-rl
learning to optimize with convergence guarantees using nonlinear system theory	convergentl2o
is data all that matters? the role of control frequency for learning-based sampled-data control of uncertain systems	lb_sd
an extended view on measuring tor as-level adversaries	ripe-tor
cellular-enabled collaborative robots planning and operations for search-and-rescue scenarios	energyprofile-go1

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
hamiltonian dynamics learning from point cloud observations for nonholonomic mobile robot control	Differential-Drive-Hamiltonian-NeuralODE
outlier accommodation for gnss precise point positioning using risk-averse state estimation	outlier_accommodation_gnss_acc2024
smart hpa: a resource-efficient horizontal pod auto-scaler for microservice architectures	smart_hpa
learning barrier-certified polynomial dynamical systems for obstacle avoidance with robots	abc-ds
llm-assisted light: leveraging large language model capabilities for human-mimetic traffic signal control in complex urban environments	llm-assisted-light
zero-rating, one big mess: analyzing differential pricing practices of european mnos	mobile-atlas
mobileatlas: geographically decoupled measurements in cellular networks for security and privacy research	mobile-atlas

2024-03-13

paper	code
a safe preference learning approach for personalization with applications to autonomous vehicles	SPL-WSTL
privacy-preserving distributed learning for residential short-term load forecasting	fl-dl
wimans: a benchmark dataset for wifi-based multi-user activity sensing	wimans
goal-reaching trajectory design near danger with piecewise affine reach-avoid computation	parc
adaptive gain scheduling using reinforcement learning for quadcopter control	RL_Drone_Control
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
scalable bilevel optimization for generating maximally representative opf datasets	rambo
on the limitations of carbon-aware temporal and spatial workload shifting in the cloud	decarbonization-potential
task-aware machine unlearning and its application in load forecasting	task_aware_machine_unlearning
symmetric-reciprocal-match method for vector network analyzer calibration	srm-calibration
modeling power systems dynamics with symbolic physics-informed neural networks	PINNs_Power_System_Dynamics
robust conformal prediction for stl runtime verification under distribution shift	Robust-Conformal-Prediction-for-STL-Runtime-Verification-under-Distribution-Shift
guiding masked representation learning to capture spatio-temporal relationship of electrocardiogram	st-mem
bounding stochastic safety: leveraging freedman's inequality with discrete-time control barrier functions	hoeffding
providing safety assurances for systems with unknown dynamics	safety_assurances_for_unknown_dynamics
on the equivalence of direct and indirect data-driven predictive control approaches	ddpc
blockchain-enabled variational information bottleneck for iot networks	blockchain-enabled-variational-information-bottleneck-for-iot-networks
robust predictive motion planning by learning obstacle uncertainty	robust-mpc-motion-planning-by-learning-obstacle-uncertainties
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
acm mmsys 2024 bandwidth estimation in real time communications challenge	rl4bandwidthestimationchallenge
detection of unobserved common causes based on nml code in discrete, mixed, and continuous variables	cloud

2024-03-11

paper	code
estimating the convex hull of the image of a set with smooth boundary: error bounds and applications	convex-hull-estimation
sustainability assessment of low earth orbit (leo) satellite broadband megaconstellations	saleos
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
supplygraph: a benchmark dataset for supply chain planning using graph neural networks	supplygraph
szcore: a seizure community open-source research evaluation framework for the validation of eeg-based automated seizure detection algorithms	epilepsy2bids
integrating predictive motion uncertainties with distributionally robust risk-aware control for safe robot navigation in crowds	DRCC-MPC
dero: dead reckoning based on radar odometry with accelerometers aided for robot localization	dero
synthetic data generation for system identification: leveraging knowledge transfer from similar systems	synthetic_data_generation
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
processing natural language on embedded devices: how well do transformer models perform?	benchmarking-bert-embedded-devices-icpe24-artifact
trust-region neural moving horizon estimation for robots	tr-neuromhe
learning model predictive control with error dynamics regression for autonomous racing	racing-lmpc-ros2
dtp-net: learning to reconstruct eeg signals in time-frequency domain by multi-scale feature reuse	eeg-denoise
qrtree -- decision tree dialect specification of qrscript	qrtree

2024-03-07

paper	code
structure-preserving transformers for sequences of spd matrices	spdtransnet
distributed charging coordination of electric trucks with limited charging resources	distributed-charging-for-evs
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
global geolocated realtime data of interfleet urban transit bus idling	idling
diffusion-based generative prior for low-complexity mimo channel estimation	diffusion_channel_est
linear and nonlinear system identification under $\ell_1$- and group-lasso regularization via l-bfgs-b	jax-sysid
thc: accelerating distributed deep learning using tensor homomorphic compression	byteps_thc

2024-03-06

paper	code
linear quadratic control of nonlinear systems with koopman operator learning and the nystr"om method	nys-koop-lqr
federated learning under attack: exposing vulnerabilities through data poisoning attacks in computer networks	federatedlearning_poison_lf_fp

2024-03-05

paper	code
matnet: multi-level fusion transformer-based model for day-ahead pv generation forecasting	matnet
polynomial logical zonotopes: a set representation for reachability analysis of logical systems	Logical-Zonotope
large-scale environment mapping and immersive human-robot interaction for agricultural mobile robot teleoperation	enhance-sfm
improving robustness via tilted exponential layer: a communication-theoretic perspective	texp_for_robustness
neuro-gpt: towards a foundation model for eeg	neurogpt
t-prime: transformer-based protocol identification for machine-learning at the edge	t-prime
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
symplectic ode-net: learning hamiltonian dynamics with control	Symplectic-ODENet
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
go beyond black-box policies: rethinking the design of learning agent for interpretable and verifiable hvac control	veri_hvac
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
convex hulls of reachable sets	chreach
statistical component separation for targeted signal recovery in noisy mixtures	stat_comp_sep
dimensionless policies based on the buckingham $\pi$ theorem: is this a good way to generalize numerical results?	dimensionlesspolicies
approximate control for continuous-time pomdps	approxpomdps
fault tolerant neural control barrier functions for robotic systems under sensor faults and attacks	ftncbf
joint chance constrained optimal control via linear programming	jcc_opt_control_lp
listening to the noise: blind denoising with gibbs diffusion	gibbs-diffusion
quantum state compression with polar codes	qscpolar

2024-02-29

paper	code
stochastic optimal control via local occupation measures	markovbounds.jl
task-driven hybrid model reduction for dexterous manipulation	task-driven-hybrid-reduction
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
learning of linear dynamical systems as a non-commutative polynomial optimization problem	proper-learning-of-lds
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
actively learning reinforcement learning: a stochastic optimal control approach	active-learning-reinforcement-learning
multi-agent reinforcement learning for the low-level control of a quadrotor uav	gym-rotor
impact of computation in integral reinforcement learning for continuous-time control	computation-impacts-control
beacon, a lightweight deep reinforcement learning benchmark library for flow control	beacon
mementohash: a stateful, minimal memory, best performing consistent hash algorithm	java-consistent-hashing-algorithms
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
monte carlo grid dynamic programming: almost sure convergence and probability constraints	mc_dynamicprogramming
semi-supervised end-to-end learning for integrated sensing and communications	sslisac
stochastic control barrier functions for economics	econcbf
deep, convergent, unrolled half-quadratic splitting for image deconvolution	decun
morphological symmetries in robotics	morphosymm
flexible robust beamforming for multibeam satellite downlink using reinforcement learning	2310_beamforming_learner_2
flooding with absorption: an efficient protocol for heterogeneous bandits over complex networks	bandits-network
bagged deep image prior for recovering images in the presence of speckle noise	Bagged-DIP-Speckle
dedicated restricted target wake time for real-time applications in wi-fi 7	r-twt-sim-public
autonomous integration of tsn-unaware applications with qos requirements in tsn networks	tsn-unaware-integration

2024-02-26

paper	code
cell-free isac mimo systems: joint sensing and communication beamforming	Cell-free-ISAC-beamforming
breaking symmetries leads to diverse quadrupedal gaits	breakingsymmetryleadstodiversegaits
zero-sum games between large-population teams: reachability-based analysis under mean-field sharing	mftg
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
age-based scheduling for mobile edge computing: a deep reinforcement learning approach	dpds
sissa: real-time monitoring of hardware functional safety and cybersecurity with in-vehicle some/ip ethernet traffic	sissa

2024-02-23

paper	code
using temperature sensitivity to estimate shiftable electricity demand: implications for power system investments and climate change	Shiftable_electricity
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
a multifaceted look at starlink performance	multifaceted-starlink-performance
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
impact: interval mdp parallel construction for controller synthesis of large-scale stochastic systems	impact
diffplf: a conditional diffusion model for probabilistic forecasting of ev charging load	DiffPLF
enhancing reinforcement learning agents with local guides	hebo
collaborative information dissemination with graph-based multi-agent reinforcement learning	melissa
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
a parallelized, adam-based solver for reserve and security constrained ac unit commitment	quasigrad.jl
learning transfer operators by kernel density estimation	fpoperatorde
influence robustness of nodes in multiplex networks against attacks	MultiCoreRank

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
planar friction modelling with lugre dynamics and limit surfaces	frictionmodelling
communication-efficient decentralized multi-agent reinforcement learning for cooperative adaptive cruise control	macacc
predictable reinforcement learning dynamics through entropy rate minimization	parl
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
enhancing power prediction of photovoltaic systems: leveraging dynamic physical model for irradiance-to-power conversion	pvpro
flexible robust optimal bidding of renewable virtual power plants in sequential markets	Hnemati
transformers for green semantic communication: less energy, more semantics	Energy-optimized-semantic-loss
just add water: webassembly-based circumvention transports	water
on the cross-dataset generalization of machine learning for network intrusion detection	lycos-unicas-ids2018
combinatorial client-master multiagent deep reinforcement learning for task offloading in mobile edge computing	ccm_madrl_mec

2024-02-19

paper	code
adaptive observers for biophysical neuronal circuits	online-learning
losing control of your network? try resilience theory	network-resilience
an interventional perspective on identifiability in gaussian lti systems with independent component analysis	lti-ica
the computation of approximate feedback stackelberg equilibria in multi-player nonlinear constrained dynamic games	feedbackstackelberggames.jl
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
opseval: a comprehensive it operations benchmark suite for large language models	opseval-datasets
fedkit: enabling cross-platform federated learning for android and ios	fedkit
towards cohesion-fairness harmony: contrastive regularization in individual fair graph clustering	ifairnmtf
qkdnetsim+: improvement of the quantum network simulator for ns-3	qkdnetsim-dev

2024-02-16

paper	code
outlier-insensitive kalman filtering: theory and applications	oikf-nuv
physics-informed representation and learning: control and risk quantification	path-integral-pinn
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
repurposing coal power plants into thermal energy storage for supporting zero-carbon data centers	coalrepurpose
risk-sensitive soft actor-critic for robust deep reinforcement learning under distribution shifts	risksensitivesacforrobustdrlunderdistshifts
a blob method for mean field control with terminal constraints	blobot
stein variational guided model predictive path integral control: proposal and experiments with fast maneuvering vehicles	proj-svg_mppi
workflow optimization for parallel split learning	sfl-workflow-optimization

2024-02-15

paper	code
prediction, communication, and computing duration optimization for vr video streaming	code4vr-prediction-communication-and-computing
finite element hybridization of port-hamiltonian systems	ph_hybridization
descriptor state space modeling of power systems	Publications
operability-economics trade-offs in adsorption-based co$_2$ capture process	dside
2-level reinforcement learning for ships on inland waterways	tud_rl
design tasks and their complexity for hybrid level 3 of the european train control system	mtct
learning lyapunov-stable polynomial dynamical systems through imitation	stable-imitation-policy
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
powerflownet: power flow approximation using message passing graph neural networks	poweflownet
leveraging digital cousins for ensemble q-learning in large-scale wireless networks	digital-cousins-for-ensemble-q-learning
ant colony optimization for cooperative inspection path planning using multiple unmanned aerial vehicles	aco_3d_ipp
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
pydmd: a python package for robust dynamic mode decomposition	pydmd
implicit bias of policy gradient in linear quadratic control: extrapolation to unseen initial states	imp_bias_control
set learning for accurate and calibrated models	oko
treet: transfer entropy estimation via transformer	treet
toward scalable generative ai via mixture of experts in mobile edge networks	net4moe
accelerating distributed deep learning using lossless homomorphic compression	lossless_homomorphic_compression
tighter bounds on the information bottleneck with application to deep learning	vub

2024-02-12

paper	code
connecting gaits in energetically conservative legged systems	connectinggaitsinenergeticallyconservativeleggedsystems
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
safe guaranteed exploration for non-linear systems	sagempc

2024-02-09

paper	code
spiking neural networks in the alexiewicz topology: a new perspective on analysis and error bounds	alexsnn
orthogonal transforms in neural networks amount to effective regularization	frequency-supported-neural-networks
multi-timescale ensemble q-learning for markov decision process policy optimization	tsp_23_supplementary_file
metamodeling and control of medical digital twins	Metamodeling-and-Control-of-Medical-Digital-Twins_2024

2024-02-08

paper	code
stochastic unrolled federated learning	fed-surf
rscnet: dynamic csi compression for cloud-based wifi sensing	rscnet
ptpsec: securing the precision time protocol against time delay attacks using cyclic path asymmetry analysis	ptpsec

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
occupancy prediction for building energy systems with latent force models	occupancy-benchmark-dataset
sdemg: score-based diffusion model for surface electromyographic signal denoising	sdemg
spatial assisted human-drone collaborative navigation and interaction through immersive mixed reality	mri_ros_public
attention with markov: a framework for principled analysis of transformers via markov chains	markov

2024-02-06

paper	code
using ppp information to implement a global real-time virtual network dgnss approach	Virtual-Network-DGNSS-Project
powerflownet: power flow approximation using message passing graph neural networks	poweflownet
predictable reinforcement learning dynamics through entropy rate minimization	parl
bridging the gaps: learning verifiable model-free quadratic programming controllers inspired by model predictive control	learning-qp
outlier accommodation for gnss precise point positioning using risk-averse state estimation	outlier_accommodation_gnss_acc2024
denoising diffusion-based control of nonlinear systems	diffusion-nonlinear-control
on confidence sequences for bounded random processes via universal gambling strategies	confidence-sequence-via-gambling
how can we train deep learning models across clouds and continents? an experimental study	hivemind-multi-cloud
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
privacy-preserving distributed learning for residential short-term load forecasting	fl-dl
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
foresee: prediction with expansion-compression unscented transform for online policy optimization	foresee
mutatenn: mutation testing of image recognition models deployed on hardware accelerators	mutatenn
predicting strategic energy storage behaviors	predicting-strategic-energy-storage-behaviors
approximate model-based shielding for safe reinforcement learning	ambs
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
optistate: state estimation of legged robots using gated networks with transformer-based vision and kalman filtering	optistate
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
uncertainty-aware guidance for target tracking subject to intermittent measurements using motion model learning	info-driven-guidance
bypass4netns: accelerating tcp/ip communications in rootless containers	bypass4netns

2024-02-01

paper	code
knowledge equivalence in digital twins of intelligent systems	knowledge-equivalence-DT
gaussian adaptive attention is all you need: robust contextual representations across multiple modalities	gaussian-adaptive-attention
the computation of approximate feedback stackelberg equilibria in multi-player nonlinear constrained dynamic games	feedbackstackelberggames.jl
an iot system for smart building combining multiple mmwave fmcw radars applied to people counting	mmwave_cluster
on cross-layer interactions of quic, encrypted dns and http/3: design, evaluation and dataset	doq-h3-analysis

2024-01-31

paper	code
enn: a neural network with dct adaptive activation functions	enn
diffcharge: generating ev charging scenarios via a denoising diffusion model	diffcharge
garchingsim: an autonomous driving simulator with photorealistic scenes and minimalist workflow	autonomous-driving-simulator
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
evaluating ml-based anomaly detection across datasets of varied integrity: a case study	cyberml-dataquality
spectral co-distillation for personalized federated learning	spectral-dis-fl
large language model evaluation via matrix entropy	matrix-entropy

2024-01-30

paper	code
curriculum-based reinforcement learning for distribution system critical load restoration	rlc4clr
bayesian model selection of lithium-ion battery models via bayesian quadrature	BayesianModelSelection
cell-free massive mimo in o-ran: energy-aware joint orchestration of cloud, fronthaul, and radio resources	o-ran-cell-free
signal temporal logic meets convex-concave programming: a structure-exploiting sqp algorithm for stl specifications	stlccp
on fast-converged deep reinforcement learning for optimal dispatch of large-scale power systems under transient security constraints	fcdrl_tscopf
model predictive control of wind turbines with piecewise-affine power coefficient approximation	Model-Predictive-Control-of-Wind-Turbines-with-Piecewise-Affine-Power-Coefficient
towards building the federated gpt: federated instruction tuning	federatedgpt-shepherd
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
supplygraph: a benchmark dataset for supply chain planning using graph neural networks	supplygraph
symbolic-numeric algorithm for parameter estimation in discrete-time models with $\exp$	larva-pupa-adult
scadles: scalable deep learning over streaming data at the edge	scadles
stac: leveraging spatio-temporal data associations for efficient cross-camera streaming and analytics	cs444_final_project
effective communication with dynamic feature compression	tmlcn_code

2024-01-29

paper	code
relationship design for socially-aware behavior in static games	relationship_game
learning local control barrier functions for safety control of hybrid systems	neural_hybrid_cbf
a simulation preorder for koopman-like lifted control systems	simlifsys
online network traffic classification based on external attention and convolution by ip packet header	ECM-for-Network-Traffic-Classification
a deep reinforcement learning-based approach for adaptive handover protocols in mobile networks	handoveroptimdrl

2024-01-26

paper	code
lipschitz-bounded 1d convolutional neural networks using the cayley transform and the controllability gramian	1d-lipcnns
a strong and simple deep learning baseline for bci mi decoding	eegsimpleconv
dissipative quadratizations of polynomial ode systems	dqbee
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
differentially private distributed estimation and learning	dp-distributed-estimation
adversarial imitation learning from visual observations using latent information	ail_from_visual_obs
opendpd: an open-source end-to-end learning & benchmarking framework for wideband power amplifier modeling and digital pre-distortion	opendpd
nlbac: a neural ordinary differential equations-based framework for stable and safe reinforcement learning	neural-ordinary-differential-equations-based-lyapunov-barrier-actor-critic-nlbac
a generalized multiscale bundle-based hyperspectral sparse unmixing algorithm	gmbua
guiding soft robots with motor-imagery brain signals and impedance control	sr-brain-control
diffusion model based posterior sampling for noisy linear inverse problems	dmps
quantifying the impact of frame preemption on combined tsn shapers	quantifying-the-impact-of-fp-on-cbs-gcl

2024-01-24

paper	code
on the existence of steady-state solutions to the equations governing fluid flow in networks	existencegasflowruns
continuous-time control synthesis under nested signal temporal logic specifications	stlt
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
supervising smart home device interactions: a profile-based firewall approach	smart-home-firewall
multi-sources information fusion learning for multi-points nlos localization	AMDNloc
availability-aware service placement policy in fog computing based on graph partitions	YAFS

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
eigenvalue mapping-based discretization of the generalized super-twisting algorithm	gsta-discretization
identifying tbi physiological states by clustering multivariate clinical time-series data	slac-time
contraction-guided adaptive partitioning for reachability analysis of neural network controlled systems	reachmm_cdc2023
modulate your spectrum in self-supervised learning	intl
forward invariance in neural network controlled systems	harapanahalli_lcss2024
congestion-aware distributed task offloading in wireless multi-hop networks using graph neural networks	multihop-offload
push- and pull-based effective communication in cyber-physical systems	age-value-cc
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
adaptive observers for biophysical neuronal circuits	online-learning
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
input convex lstm: a convex approach for fast lyapunov-based model predictive control	iclstm
input convex lipschitz rnn: a fast and robust approach for engineering tasks	iclrnn
a comparison benchmark for distributed hybrid mpc control methods: distributed vehicle platooning	hybrid-vehicle-platoon
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
hierarchical federated learning in multi-hop cluster-based vanets	vanet
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
on fast-converged deep reinforcement learning for optimal dispatch of large-scale power systems under transient security constraints	fcdrl_tscopf
multi-agent reinforcement learning via distributed mpc as a function approximator	dmpcrl-concept
a modified aaa algorithm for learning stable reduced-order models from data	stabaaa
port-hamiltonian neural ode networks on lie groups for robot dynamics learning and control	LieGroupHamDL
physics-informed calibration of aeromagnetic compensation in magnetic navigation systems using liquid time-constant networks	lnns_magnav
learning to extract distributed polarization sensing data from noisy jones matrices	physics-based-distributed-polarization-sensing
a-kit: adaptive kalman-informed transformer	a-kit
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
a quick primer on machine learning in wireless communications	eesc7v86-fall22
edaf: an end-to-end delay analytics framework for 5g-and-beyond networks	edaf

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
a fast control plane for a large-scale and high-speed optical circuit switch system	meow-rest

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
pontryagin optimal control via neural networks	neuralpmp2024
koopman kernel regression	koopcore
information-based preprocessing of plc data for automatic behavior modeling	information_based_preprocessing
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
trust from ethical point of view: exploring dynamics through multiagent-driven cognitive modeling	ethical-trust-cognitive-modeling
remaining useful life prediction for aircraft engines using lstm	rul-prediction
enforcing contraction via data	codes-for-contraction-paper
adaptive neural-operator backstepping control of a benchmark hyperbolic pde	neuraloperatoradaptivecontrol
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
on the robustness of deep learning-predicted contention models for network calculus	dataset-deeptma-extension
reliability and latency analysis for wireless communication systems with a secret-key budget	secret-key-budget-ruin
netmind: adaptive ran baseband function placement by gcn encoding and maze-solving drl	NetMind-Baseband-Function-Placement-with-GCN-Encoding-and-Maze-solving-DRL-for-advanced-RAN
vehicle selection for c-v2x mode 4 based federated edge learning systems	vehicle-selection-for-c-v2x

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
zest: attention-based zero-shot learning for unseen iot device classification	ZEST
secure targeted message dissemination in iot using blockchain enabled edge computing	Blockchain-IoT

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
an experimental evaluation of deep reinforcement learning algorithms for hvac control	paper-drl_building

2024-01-11

paper	code
verifiable obstacle detection	verifiable-od
closed-loop koopman operator approximation	closed_loop_koopman
model selection for risk analysis of wastewater networks	ww-model-selection
fuzzy logic controller design for mobile robot outdoor navigation	FuzzyMobileRobotGuidance
a convex optimization approach to compute trapping regions for lossless quadratic systems	boundedness_losslessquadsys
t-prime: transformer-based protocol identification for machine-learning at the edge	t-prime
occupancy prediction for building energy systems with latent force models	occupancy-benchmark-dataset
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
fairq: fair and fast rate allocation in data centers	rwndq
distributed experimental design networks	distributednetworklearning

2024-01-10

paper	code
conformal prediction regions for time series using linear complementarity programming	timeparamcpscores
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
a review of path following control strategies for autonomous robotic vehicles: theory, simulations, and experiments	path-following-matlab
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
safe multi-task bayesian optimization	2024-code-l4dc-safe-multi-task-bayesian-optimization
impact: interval mdp parallel construction for controller synthesis of large-scale stochastic systems	impact
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
version control of speaker recognition systems	SpeakerVerSim
mementohash: a stateful, minimal memory, best performing consistent hash algorithm	java-consistent-hashing-algorithms

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
secure control of connected and automated vehicles using trust-aware robust event-triggered control barrier functions	trust_based_cbf
gain scheduling with a neural operator for a transport pde with nonlinear recirculation	neuraloperatorapproximatedgainscheduling
credence: augmenting datacenter switch buffer sharing with ml predictions	ns3-datacenter

2024-01-05

paper	code
exact hierarchical reductions of dynamical models via linear transformations	exactodereduction.jl
improved uncertainty quantification for neural networks with bayesian last layer	2023_paper_bll_lml
a generalizable physics-informed learning framework for risk probability estimation	pipe-l4dc
robust regret optimal control	Robust_Regret_Optimal_Control
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
introducing packet-level analysis in programmable data planes to advance network intrusion detection	p4ddle

2024-01-04

paper	code
time-limited balanced truncation for data assimilation problems	TLBTforDA
impact: a toolchain for nonlinear model predictive control specification, prototyping, and deployment	impact
autorl hyperparameter landscapes	autorl-landscape
fast path planning through large collections of safe boxes	fastpathplanning
near-field velocity sensing and predictive beamforming	near-field-velocity-sensing-and-predictive-beamforming
physics-informed appliance signatures generator for energy disaggregation	edframe
iotgem: generalizable models for behaviour-based iot attack detection	heriot
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
pseudo-hamiltonian system identification	phsi
data-adaptive graph framelets with generalized vanishing moments for graph signal processing	graph-involved-frame
bridging the gaps: learning verifiable model-free quadratic programming controllers inspired by model predictive control	learning-qp
hybrid internal model: learning agile legged locomotion with simulated robot response	himloco
$f$-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
low overhead beam alignment for mobile millimeter channel based on continuous-time prediction	low-overhead-beam-alignment-prediction
analyzing generalization in policy networks: a case study with the double-integrator system	generalanalyze
physics-informed multi-agent reinforcement learning for distributed multi-robot problems	phmarl
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
adaptive data-driven prediction in a building control hierarchy: a case study of demand response in switzerland	risk_src_yingzhao
bayesian topology inference on partially known networks from input-output pairs	inference_langevin
a quick primer on machine learning in wireless communications	eesc7v86-fall22

2023-12-29

paper	code
gasper: graph signal processing in r	SGWT-SURE
dime and agvis: a distributed messaging environment and geographical visualizer for large-scale power system simulation	agvis
robust kalman filters based on the sub-gaussian $\alpha$-stable distribution	robust-kalman-filters-based-on-the-sub-gaussian-alpha-stable-distribution
dsac-t: distributional soft actor-critic with three refinements	dsac-t
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
mixed-integer optimal control via reinforcement learning: a case study on hybrid vehicle energy management	td3aq
neural lyapunov control for discrete-time systems	nlc_discrete
deltann: assessing the impact of computational environment parameters on the performance of image recognition models	deltann
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
bridging the gaps: learning verifiable model-free quadratic programming controllers inspired by model predictive control	learning-qp
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
information-seeking polynomial narx model-predictive control through expected free energy minimization	lcss2024-narxefe
benign nonconvex landscapes in optimal and robust control, part i: global optimality	nonconvex_landscape_in_control
meta-learning-based adaptive stability certificates for dynamical systems	meta-nlf
convex approximations for a bi-level formulation of data-enabled predictive control	convex-approximation-for-deepc
construct 3d hand skeleton with commercial wifi	handfi
robust stochastically-descending unrolled networks	unrolledglow
pdit: interleaving perception and decision-making transformers for deep reinforcement learning	pdit
achieving fairness in darefightingice agents evaluation through a delay mechanism	cog2023-darefightingice-evaluation

2023-12-25

paper	code
dissipative quadratizations of polynomial ode systems	dqbee
geo2sigmap: high-fidelity rf signal mapping using geographic databases	geo2sigmap
hybrid aerodynamics-based model predictive control for a tail-sitter uav	airo_control_interface
instantaneous frequency estimation in multicomponent signals in case of interference based on the prony method	prony_if_estimation
an approach to reduce computational load: precalculating gain matrices for an lqr controller of a four-axis manipulator using state space kinematics	robotik
introducing packet-level analysis in programmable data planes to advance network intrusion detection	p4ddle

2023-12-22

paper	code
bidirectional uwb localization: a review on an elastic positioning scheme for gnss-deprived zones	positioning-algorithms-for-uwb-matlab
multimodal brain-computer interface for in-vehicle driver cognitive load measurement: dataset and baselines	cl-drive
communication-efficient decentralized multi-agent reinforcement learning for cooperative adaptive cruise control	macacc
finding order in chaos: a novel data augmentation method for time series in contrastive learning	Finding_Order_in_Chaos
uxsim: an open source macroscopic and mesoscopic traffic simulator in python -- a technical overview	uxsim
energy-aware adaptive sampling for self-sustainability in resource-constrained iot devices	EcoTrack
singularly perturbed layered control of deformable bodies	dcm
hybrid internal model: a simple and efficient learner for agile legged locomotion	himloco
dynamic loco-manipulation on hector: humanoid for enhanced control and open-source research	hector_simulation
fed-qssl: a framework for personalized federated learning under bitwidth and data heterogeneity	fed-qssl
revisiting deep generalized canonical correlation analysis	revisiting-dgcca
angle of arrival and centimeter distance estimation on a smart uwb sensor node	uwb_dualantenna_aoa
risk-sensitive stochastic optimal control as rao-blackwellized markovian score climbing	psoc
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
denis-sdn: software-defined network slicing solution for dense and ultra-dense iot networks	denis-sdn

2023-12-21

paper	code
viewpoint-driven formation control of airships for cooperative target tracking	airship-mpc
data-driven robust backward reachable sets for set-theoretic model predictive control	data-driven-st-mpc
from system models to class models: an in-context learning paradigm	sysid-neural-transformers
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
geometric impedance control on se(3) for robotic manipulators	Geometric-Impedance-Control-Public
end-to-end reinforcement learning for torque based variable height hopping	hopping_leg
deep plug-and-play prior for multitask channel reconstruction in massive mimo systems	pnpmt
drift control of high-dimensional rbm: a computational method based on neural networks	rbmsolver
a study on transferability of deep learning models for network intrusion detection	transferability
singular control of (reflected) brownian motion: a computational method suitable for queueing applications	singularcontrol
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
can transformers learn optimal filtering for unknown systems?	meta-output-predictor
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
generalization analysis of policy networks: an example of double-integrator	generalanalyze
computing optimal joint chance constrained control policies	jcc_opt_control
compositional inductive invariant based verification of neural network controlled systems	comp-indinv-verification-nncs
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
enabling agency: trade-offs between regional and integrated energy systems design flexibility	enabling-agency
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
data valuation from data-driven optimization	msdro_opf_public
pose-following with dual quaternions	pfdq
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
overcome the fear of missing out: active sensing uav scanning for precision agriculture	overfomo
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
managing cold-start in the serverless cloud with temporal convolutional networks	TCN4CLOUD
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
global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems	gr-madrl-amod
a linear algebraic framework for dynamic scheduling over memory-equipped quantum networks	dynschedsimulator_journal
towards ssh3: how http/3 improves secure shells	ssh3

2023-12-14

paper	code
receding horizon planning with rule hierarchies for autonomous vehicles	rule-hierarchies
conformal prediction regions for time series using linear complementarity programming	timeparamcpscores
learning to transmit with provable guarantees in wireless federated learning	wirelessfl-pdg
fast variational block-sparse bayesian learning	fast-variational-block-sparse-bayesian-learning
datt: deep adaptive trajectory tracking for quadrotor control	datt
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
event-triggered safe bayesian optimization on quadcopters	etso
democratizing leo satellite network measurement	leo_hitchhiking

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
communication-efficient decentralized multi-agent reinforcement learning for cooperative adaptive cruise control	macacc
interval signal temporal logic from natural inclusion functions	baird_lcss2024
state-wise safe reinforcement learning with pixel observations	step-wise_saferl_pixel
safe multi-task bayesian optimization	2024-code-l4dc-safe-multi-task-bayesian-optimization
combined invariant subspace & frequency-domain subspace method for identification of discrete-time mimo linear systems	dcissim
feedback-feedforward signal control with exogenous demand estimation in congested urban road networks	saffron
multi-modal conformal prediction regions by optimizing convex shape templates	conformal_region_designer
balancing summarization and change detection in graph streams	bsc
lightweight implementation of per-packet service protection in ebpf/xdp	stress-ng

2023-12-12

paper	code
binary spatial random field reconstruction from non-gaussian inhomogeneous time-series observations	WarpedGaussianProcesses
contraction-guided adaptive partitioning for reachability analysis of neural network controlled systems	reachmm_cdc2023
forward invariance in neural network controlled systems	harapanahalli_lcss2024
improving computational efficiency for powered descent guidance via transformer-based tight constraint prediction	t-pdg
domain invariant representation learning and sleep dynamics modeling for automatic sleep staging	dream
synthesis of temporally-robust policies for signal temporal logic tasks using reinforcement learning	timerobustlearning
simpsi: a simple strategy to preserve spectral information in time series data augmentation	simpsi
learning for casadi: data-driven models in numerical optimization	l4casadi
ensemble kalman filtering-aided variational inference for gaussian process state-space models	gpssmproj
singularly perturbed layered control of deformable bodies	dcm
learning reduced-order linear parameter-varying models of nonlinear systems	sysid-2024-rom-lpv-learning
asf-yolo: a novel yolo model with attentional scale sequence fusion for cell instance segmentation	asf-yolo
dissipativity-based decentralized co-design of distributed controllers and communication topologies for vehicular platoons	longitudinal-vehicular-platoon-simulator
robust graph neural network based on graph denoising	robust_gnn
a geometry-based stochastic wireless channel model using channel images	geostochasticchanmodel
online decision making with history-average dependent costs (extended)	learningwithhist
quantifying & modeling multimodal interactions: an information decomposition framework	pid
fedstellar: a platform for decentralized federated learning	fedstellar
mitigating communications threats in decentralized federated learning through moving target defense	fedstellar

2023-12-11

paper	code
provably bounding neural network preimages	verify-input
robust single-shot 3d fluorescence imaging in scattering media with a simulator-trained neural network	sbrnet
unitsa: a universal reinforcement learning framework for v2x traffic signal control	universal_light
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
antifragile control systems: the case of mobile robot trajectory tracking in the presence of uncertainty	antifragile-robot-control
towards autonomous system: flexible modular production system enhanced with large language model agents	gpt4industrialautomation
low-complexity subspace-descent over symmetric positive definite manifold	subspace_descent_over_SPD_manifold
match-based solution of general parametric eigenvalue problems	pevp_match
a scalable and generalizable pathloss map prediction	pmnet
on the adaptation of in-context learners for system identification	sysid-transformers-transfer
receding horizon re-ordering of multi-agent execution schedules	sadg-controller

2023-12-07

paper	code
learning robust output control barrier functions from safe expert demonstrations	learning-rocbfs
enhanced power point tracking for high hysteresis perovskite solar cells: a galvanostatic approach	perovskino
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
robust reinforcement learning in continuous control tasks with uncertainty set regularization	rrl_usr
toward a certified greedy loewner framework with minimal sampling	greedy-loewner
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
model-free learning of two-stage beamformers for passive irs-aided network design	zosga-irs
a generalized bandsplit neural network for cinematic audio source separation	bandit
recent advances in path integral control for trajectory optimization: an overview in theoretical and algorithmic perspectives	an-overview-on-recent-advances-in-path-integral-control
fast and robust sparsity-aware block diagonal representation	frs-bdr
compositional policy learning in stochastic control systems with formal guarantees	neural_martingales
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

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
age-based scheduling for mobile edge computing: a deep reinforcement learning approach	dpds
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
two-step reinforcement learning for model-free redesign of nonlinear optimal regulator	two-step-design
integrated behavior planning and motion control for autonomous vehicles with traffic rules compliance	optimization-based-idmc_carla
stable linear subspace identification: a machine learning approach	simba
2d signal estimation for sparse distributed target photon counting data	signal-estimation-sparse-data
controlgym: large-scale safety-critical control environments for benchmarking reinforcement learning algorithms	controlgym
balancing summarization and change detection in graph streams	bsc

2023-11-30

paper	code
zero-shot self-supervised learning for mri reconstruction	ZS-SSL
wind energy forecasting with missing values within a fully conditional specification framework	Forecasting-with-missing-values
optimal adaptive prediction intervals for electricity load forecasting in distribution systems via reinforcement learning	Optimal-Adaptive-Prediciton-Interval
unconstrained learning of networked nonlinear systems via free parametrization of stable interconnected operators	distributedren
fast and expressive gesture recognition using a combination-homomorphic electromyogram encoder	com-hom-emg
estimation of dynamic gaussian processes	dynamic_gaussian_processes
rigorous dynamical mean field theory for stochastic gradient descent methods	rigorous-dynamical-mean-field-theory
quantifying the redundancy between prosody and text	quantifying-redundancy
large language models for networking: applications, enabling techniques, and challenges	chatnet

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
sleep when everything looks fine: self-triggered monitoring for signal temporal logic tasks	st_om
learning multi-frequency partial correlation graphs	bspcg
nodal hydraulic head estimation through unscented kalman filter for data-driven leak localization in water networks	ukf-aw-gsi
tsn-flextest: flexible tsn measurement testbed (extended version)	tsn-testbed
flowtransformer: a transformer framework for flow-based network intrusion detection systems	flowtransformer
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
visual dexterity: in-hand reorientation of novel and complex object shapes	dexenv
single-shot quantum signal processing interferometry	qsp-interferometry
simba: system identification methods leveraging backpropagation	simba
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
weak-form latent space dynamics identification	pywsindy_ode
learning to fly in seconds	learning-to-fly
applying dimensionality reduction as precursor to lstm-cnn models for classifying imagery and motor signals in ecog-based bcis	dim-reduction-with-cnn-lstm
conflict management in the near-rt-ric of open ran: a game theoretic approach	cmsoran

2023-11-22

paper	code
ergodic exploration using tensor train: applications in insertion tasks	Ergodic_Exploration_using_Tensor_Train
large car-following data based on lyft level-5 open dataset: following autonomous vehicles vs. human-driven vehicles	car-following-dataset-hv-vs-av
regret and conservatism of distributionally robust constrained stochastic model predictive control	regret-and-conservatism-of-smpc
ssvep-dan: a data alignment network for ssvep-based brain computer interfaces	ssvep-dan
diffusion-based reinforcement learning for edge-enabled ai-generated content services	agod
how can we train deep learning models across clouds and continents? an experimental study	hivemind-multi-cloud

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
finite element hybridization of port-hamiltonian systems	ph_hybridization
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
a mixed-integer approach for motion planning of nonholonomic robots under visible light communication constraints	milp_vlc_motion_planning
homothetic tube model predictive control with multi-step predictors	homotheticmpcmultistep
stable linear subspace identification: a machine learning approach	simba
msceqf: a multi state constraint equivariant filter for vision-aided inertial navigation	msceqf
dxhash: a scalable consistent hash based on the pseudo-random sequence	DxHash
examining interplay of compression and encryption and applicability to 5g teleoperations	encoding-compression-investigation
estimation of entropy-regularized optimal transport maps between non-compactly supported measures	entropic-map

2023-11-20

paper	code
prompt a robot to walk with large language models	prompt2walk
dimensionality reduction of dynamics on lie manifolds via structure-aware canonical correlation analysis	icca
implicit maximum a posteriori filtering via adaptive optimization	implicitmap
modeling and correcting bias in sequential evaluation	sequential-bias
temporally causal discovery tests for discrete time series and neural spike trains	github_temporal_causality
decentralized energy marketplace via nfts and ai-based agents	dem

2023-11-17

paper	code
data-driven structured policy iteration for homogeneous distributed systems	d2spi
data-driven robust backward reachable sets for set-theoretic model predictive control	data-driven-st-mpc
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
reinforcement learning with model predictive control for highway ramp metering	mpcrl-for-ramp-metering
a low rank approach to minimize sensor-to-actuator communication in finite horizon output feedback	lowrankcontrol
optimizing mobile-edge ai-generated everything (aigx) services by prompt engineering: fundamental, framework, and case study	Prompt-Engineering

2023-11-15

paper	code
neural moving horizon estimation for robust flight control	neuromhe
learning over contracting and lipschitz closed-loops for partially-observed nonlinear systems (extended version)	CDC2023-YoulaREN
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
augmented lagrangian methods as layered control architectures	layered-control-architectures-for-robotics
controllability-constrained deep network models for enhanced control of dynamical systems	controlledvae
distributed charging coordination of electric trucks with limited charging resources	distributed-charging-for-evs
caster: a computer-vision-assisted wireless channel simulator for gesture recognition	testspectrogram
mansy: generalizing neural adaptive immersive video streaming with ensemble and representation learning	mansy_immersivevideostreaming
effective in-vehicle intrusion detection via multi-view statistical graph learning on can messages	StatGraph
p4-psfp: p4-based per-stream filtering and policing for time-sensitive networking	p4-psfp

2023-11-13

paper	code
flexibility of integrated power and gas systems: modeling and solution choices matter	optimalpowergasflowchoices
real-time control of electric autonomous mobility-on-demand systems via graph reinforcement learning	graph-rl-for-eamod
interactive motion planning for autonomous vehicles via adaptive interactive mpc	interactive-motion-planning
a time-invariant network flow model for ride-pooling in mobility-on-demand systems	lti-pooling-k_people
multi-agent reinforcement learning for the low-level control of a quadrotor uav	marl-quad-control
abs+ polar codes: exploiting more linear transforms on adjacent bits	abs-polar
tsn-flextest: flexible tsn measurement testbed (extended version)	tsn-testbed
introducing packet-level analysis in programmable data planes to advance network intrusion detection	p4ddle
in-context learning for mimo equalization using transformer-based sequence models	icl-equalization

2023-11-10

paper	code
model predictive monitoring of dynamical systems for signal temporal logic specifications	mpm4stl
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
robustness of quantum algorithms against coherent control errors	robustness-of-quantum-algorithms
pay less but get more: a dual-attention-based channel estimation network for massive mimo systems with low-density pilots	dacen
decentralized sgd and average-direction sam are asymptotically equivalent	icml-2023-dsgd-and-sam
value-gradient iteration with quadratic approximate value functions	vgi
eeg-dg: a multi-source domain generalization framework for motor imagery eeg classification	eeg-dg
uncertainty-aware bayes' rule and its applications	bayes-rule
estimating webrtc video qoe metrics without using application headers	vcaml
atom: neural traffic compression with spatio-temporal graph neural networks	atom_neural_traffic_compression

2023-11-09

paper	code
contributions of individual generators to nodal carbon emissions	carbon_emission_power_grids
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
parameter synthesis for markov models: covering the parameter space	prophesy
score-based source separation with applications to digital communication signals	score_based_source_separation
control of vortex dynamics using invariants	invariant-vrtx-ctrl
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
clapim: scalable sequence classification using processing-in-memory	clapim
a testbed for carbon-aware applications and systems	vessim
on the stable cholesky factorization-based method for the maximum correntropy criterion kalman filtering	MCCKF-a-posteriori
factored-form kalman-like implementations under maximum correntropy criterion	MCCKF-a-posteriori
dissipative quadratizations of polynomial ode systems	dqbee
a unified dynamic model for the decomposition of skin conductance and the inference of sudomotor nerve activities	udm_eda
stable linear subspace identification: a machine learning approach	simba
congestion-aware ride-pooling in mixed traffic for autonomous mobility-on-demand systems	congestionr_amod
gacs-korner common information variational autoencoder	common-vae
nautilus: a framework for cross-layer cartography of submarine cables and ip links	nautilus
flooding with absorption: an efficient protocol for heterogeneous bandits over complex networks	bandits-network
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
fine-tuning language models with advantage-induced policy alignment	rlhf-apa
estimation of semiconductor power losses through automatic thermal modeling	automatic-thermal-modeling
low overhead beam alignment for mobile millimeter channel based on continuous-time prediction	low-overhead-beam-alignment-prediction
irka is a riemannian gradient descent method	rgd-irka-experiments
closing the gap to quadratic invariance: a regret minimization approach to optimal distributed control	spregret
supervising smart home device interactions: a profile-based firewall approach	smart-home-firewall
rtp: rethinking tensor parallelism with memory deduplication	rtp

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
can't touch this: real-time, safe motion planning and control for manipulators under uncertainty	armour
federated learning-based vehicle trajectory prediction against cyberattacks	fl-tp
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
fedstellar: a platform for decentralized federated learning	fedstellar

2023-11-02

paper	code
on the optimization landscape of dynamic output feedback linear quadratic control	lqg_gradient
active uncertainty reduction for safe and efficient interaction planning: a shielding-aware dual control approach	dual_control_hri
distributionally robust linear quadratic control	dr-control
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
learning zero-sum linear quadratic games with improved sample complexity and last-iterate convergence	zero-sum-lq-games
homothetic tube model predictive control with multi-step predictors	homotheticmpcmultistep
energy-aware adaptive sampling for self-sustainability in resource-constrained iot devices	EcoTrack
distil the informative essence of loop detector data set: is network-level traffic forecasting hungry for more data?	uncertainty-aware-traffic-speed-flow-demand-prediction
learning lyapunov-stable polynomial dynamical systems through imitation	stable-imitation-policy
efficient computation of the quantum rate-distortion function	efficient-qrd
amoeba: circumventing ml-supported network censorship via adversarial reinforcement learning	amoeba
offloading real-time tasks in iiot environments under consideration of networking uncertainties	real-time-offloading-simulator-iiot

2023-10-31

paper	code
safe learning mpc with limited model knowledge and data	wasserstein-nonlinear-mpc
probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs	nioc-neurips
learning dictionaries from physical-based interpolation for water network leak localization	aw-gsi-dl
ipdp: on partial dependence plots in dynamic modeling scenarios	ipdp-on-partial-dependence-plots-in-dynamic-modeling-scenarios
distributed optimization of clique-wise coupled problems via three-operator splitting	cd-dys
optimal status updates for minimizing age of correlated information in iot networks with energy harvesting sensors	RSS_algorithm
adaptive meta-learning-based kkl observer design for nonlinear dynamical systems	metakkl
robustness evaluation of deep unsupervised learning algorithms for intrusion detection systems	robevalanodetect
dyst (did you see that?): an amplified covert channel that points to previously seen data	dyst
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
imp-marl: a suite of environments for large-scale infrastructure management planning via marl	imp_marl
novel models for multiple dependent heteroskedastic time series	stat40710

2023-10-27

paper	code
policy optimization over submanifolds for linearly constrained feedback synthesis	qrnpo
detection of stealthy adversaries for networked unmanned aerial vehicles*	telloswarm
artificial intelligence in government: concepts, standards, and a unified framework	ai-gov-framework
data-driven optimal filtering for linear systems with unknown noise covariances	sgd4filtering
statistical component separation for targeted signal recovery in noisy mixtures	stat_comp_sep
dsac-t: distributional soft actor-critic with three refinements	dsac-t
lei2json: schema-based validation and conversion of livestock event information	lei2json
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
berlin v2x: a machine learning dataset from multiple vehicles and radio access technologies	BerlinV2X

2023-10-25

paper	code
quantum search approaches to sampling-based motion planning	qrrt
fuel consumption prediction for a passenger ferry using machine learning and in-service data: a comparative study	model_optimze_vessel
deep reinforcement learning-based intelligent traffic signal controls with optimized co2 emissions	eco-light
revisiting implicit differentiation for learning problems in optimal control	implicit-diff-optimal-control
lgr-mpc: a user-friendly software based on legendre-gauss-radau pseudo spectral method for solving model predictive control problems	a-user-friendly-software-based-on-legendre-gauss-radau-pseudo-spectral-method-in-python-to-solve-mpc
incremental measurement of structural entropy for dynamic graphs	incre-se

2023-10-24

paper	code
gasper: graph signal processing in r	SGWT-SURE
distributed control of descriptor networks: a convex procedure for augmented sparsity	CONPRAS
riscatter: unifying backscatter communication and reconfigurable intelligent surface	riscatter
learning informative representation for fairness-aware multivariate time-series forecasting: a group-based perspective	fairfor
risk-aware urban air mobility network design with overflow redundancy	Risk-aware-Urban-Air-Mobility-Network-Design-with-Overflow-Redundancy
geometric mechanics of contact-switching systems	paper-geometric-mechanics-of-contact-switching-systems
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
specialized deep residual policy safe reinforcement learning-based controller for complex and continuous state-action spaces	CoL-SDRPRL
elemantra: an end-to-end automated framework empowered with ai and iot for tackling human-elephant conflict in elephant-range countries	elemantra
nvidia flare: federated learning from simulation to real-world	nvflare
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
$\lambda$-split: a privacy-preserving split computing framework for cloud-powered generative ai	lambda_split
teleqna: a benchmark dataset to assess large language models telecommunications knowledge	teleqna

2023-10-23

paper	code
a lego-brick approach to coding for network communication	lego-brick
data-driven robust backward reachable sets for set-theoretic model predictive control	data-driven-st-mpc
equivariant bootstrapping for uncertainty quantification in imaging inverse problems	equivariant_bootstrap
explora: ai/ml explainability for the open ran	explora

2023-10-20

paper	code
llm-based frameworks for power engineering from routine to novel tasks	chatgpt-for-power-system-programming-tasks
mutual information-based integrated sensing and communications: a wmmse framework	MI-based-WMMSE-ISAC-algorithm
semantic: semantic interference cancellation towards 6g wireless communications	SemantIC
formal abstractions for packet scheduling	pifo-trees-artifact
automl4etc: automated neural architecture search for real-world encrypted traffic classification	automl4etc

2023-10-19

paper	code
influence of the geometry of the world model on curiosity based exploration	effect-of-geometry-on-exploration
dynamic financial processes identification using sparse regressive reservoir computers	dynet-cnbs
compression with bayesian implicit neural representations	combiner
perceptual measurements, distances and metrics	perceptual_metric

2023-10-18

paper	code
knowledge equivalence in digital twins of intelligent systems	knowledge-equivalence-DT
dime and agvis: a distributed messaging environment and geographical visualizer for large-scale power system simulation	agvis
removing structured noise with diffusion models	joint-diffusion
neural lyapunov control for discrete-time systems	nlc_discrete
extended kalman filter state estimation for autonomous competition robots	ekf
correlative information maximization: a biologically plausible approach to supervised deep neural networks without weight symmetry	Supervised-CorInfoMax
maintaining app services in disrupted cities: a crisis and resilience evaluation tool	caret

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
replication: contrastive learning and data augmentation in traffic classification using a flowpic input representation	tcbench
the mixtures and the neural critics: on the pointwise mutual information profiles of fine distributions	bmi

2023-10-16

paper	code
hidden parameter recurrent state space models for changing dynamics scenarios	HiP-RSSM
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
democratizing leo satellite network measurement	leo_hitchhiking

2023-10-13

paper	code
semantic-forward relaying: a novel framework towards 6g cooperative communications	Semantic_Forward
multi-spacephish: extending the evasion-space of adversarial attacks against phishing website detectors using machine learning	acsac22_spacephish
learning collaborative information dissemination with graph-based multi-agent reinforcement learning	melissa
interpretable diffusion via information decomposition	info-decomp
zest: attention-based zero-shot learning for unseen iot device classification	ZEST
fast search method for large polarization kernels	kernelbruteforcer

2023-10-12

paper	code
low emission building control with zero-shot reinforcement learning	PEARL
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
algorithm for finding new identifiable reparametrizations of parametric odes	new-identifiable-reparametrizations
efficient path planning in large unknown environments with switchable system models for automated vehicles	guided-extended-hybrid-astar
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
estimating webrtc video qoe metrics without using application headers	vcaml
boosting learning for ldpc codes to improve the error-floor performance	ldpc_error_floor
cost-aware joint caching and forwarding in networks with heterogeneous cache resources	multi-tier
functional renormalization group for signal detection and stochastic ergodicity breaking	stochastic-signal-detection

2023-10-11

paper	code
distributed control of descriptor networks: a convex procedure for augmented sparsity	CONPRAS
neural moving horizon estimation for robust flight control	neuromhe
quantum search approaches to sampling-based motion planning	qrrt
tiny-ppg: a lightweight deep neural network for real-time detection of motion artifacts in photoplethysmogram signals on edge devices	tiny-ppg
towards efficient mppi trajectory generation with unscented guidance: u-mppi control strategy	u-mppi
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
a high-performance design, implementation, deployment, and evaluation of the slim fly network	opensm
assessing the impact of a supervised classification filter on flow-based hybrid network anomaly detection	hybrid-anomaly-detection

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
deep reinforcement learning-based rebalancing policies for profit maximization of relay nodes in payment channel networks	payment-channel-rebalancing
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
sustainability assessment of low earth orbit (leo) satellite broadband mega-constellations	saleos
extended kalman filter state estimation for autonomous competition robots	ekf
a closed-form solution for the strapdown inertial navigation initial value problem	cyecca
the first cadenza signal processing challenge: improving music for those with a hearing loss	task1
estimating conditional mutual information for dynamic feature selection	dime
nettisa: extended ip flow with time-series features for universal bandwidth-constrained high-speed network traffic classification	classification_by_nettisa_flow

2023-10-09

paper	code
link scheduling using graph neural networks	distgcn
powermodelsada: a framework for solving optimal power flow using distributed algorithms	powermodelsada.jl
actively learning reinforcement learning: a stochastic optimal control approach	active-learning-reinforcement-learning
a comprehensive indoor environment dataset from single-family houses in the us	bdl_data_1
representative days and hours with piecewise linear transitions for power system planning	modified-rts-24-bus
capturing chronology and extreme values of representative days for planning of transmission lines and long-term energy storage systems	modified6bus
influence robustness of nodes in multiplex networks against attacks	MultiCoreRank

2023-10-06

paper	code
accoustate: auto-annotation of imu-generated activity signatures under smart infrastructure	acconotate
distributed decentralized receding horizon control for very large-scale networks with application to satellite mega-constellations	tudat-matlab-thrust-feedback
conditional generative models for simulation of emg during naturalistic movements	biomime
drl-based energy-efficient baseband function deployments for service-oriented open ran	Energy-Efficient-DU-CU-MEC-Deployments-for-Open-RAN
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
supervising smart home device interactions: a profile-based firewall approach	smart-home-firewall

2023-10-05

paper	code
data-driven predictive tracking control based on koopman operators	ktmpc
navigating out-of-distribution electricity load forecasting during covid-19: benchmarking energy load forecasting models without and with continual learning	ood_electricity_forecasting_during_covid-19
learning adaptive safety for multi-agent systems	learning_adaptive_safety
on the financial consequences of simplified battery sizing models without considering operational details	community-battery-sizing-study
path weight sampling: exact monte carlo computation of the mutual information between stochastic trajectories	pathweightsampling.jl
raynet: a simulation platform for developing reinforcement learning-driven network protocols	raynet
local max-entropy and free energy principles, belief diffusions and their singularities	topos

2023-10-04

paper	code
distributed control of descriptor networks: a convex procedure for augmented sparsity	CONPRAS
stability constrained reinforcement learning for decentralized real-time voltage control	stable-ddpg-for-voltage-control
local convergence of multi-agent systems towards triangular patterns	swarmsimpublic
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
an optical control environment for benchmarking reinforcement learning algorithms	reinforcement-learning-pulse-stacking
fully proprioceptive slip-velocity-aware state estimation for mobile robots via invariant kalman filtering and disturbance observer	slip_detection_dob
sequential sum-of-squares programming for analysis of nonlinear systems	bisosprob
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
optimal control of grid-interfacing inverters with current magnitude limits	Current-Magnitude-Limited-Inverter-Control
fairly extreme: minimizing outages equitably	FairlyExtreme
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
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
toward a certified greedy loewner framework with minimal sampling	greedy-loewner
stable and safe reinforcement learning via a barrier-lyapunov actor-critic approach	a-barrier-lyapunov-actor-critic-reinforcement-learning-approach-for-safe-and-stable-control
optimal tracking strategies in a turbulent flow	optimal-tracking-strategies-in-a-turbulent-flow
verification of quantum systems using barrier certificates	quantum-barrier-certificates
learning large-scale mtp$_2$ gaussian graphical models via bridge-block decomposition	mtp2-bbd
agent coordination via contextual regression (agentconcur) for data center flexibility	agentconcur
an mcts-drl based obstacle and occlusion avoidance methodology in robotic follow-ahead applications	follow-ahead-ros
uxsim: an open source macroscopic and mesoscopic traffic simulator in python -- a technical overview	uxsim
a framework and a python-package for real-time nmpc parameters settings	mpc_tuner
adversarial imitation learning from visual observations using latent information	ail_from_visual_obs

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
a physics informed machine learning method for power system model parameter optimization	power-system-parameter-optimization
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
robust model predictive control with polytopic model uncertainty through system level synthesis	polytopic-slsmpc
lqr-cbf-rrt*: safe and optimal motion planning	lqr_cbf_rrtstar
risk-averse trajectory optimization via sample average approximation	riskaversetrajopt
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
team: a parameter-free algorithm to teach collaborative robots motions from user demonstrations	team
learning nonlinear projections for reduced-order modeling of dynamical systems using constrained autoencoders	romnet_chaos2023
continuous-time control synthesis under nested signal temporal logic specifications	stlt
joint communication and computation framework for goal-oriented semantic communication with distortion rate resilience	drgo-semcom
effective multi-agent deep reinforcement learning control with relative entropy regularization	MACDPP
estimating webrtc video qoe metrics without using application headers	vcaml
ptperf: on the performance evaluation of tor pluggable transports	ptperf

2023-09-26

paper	code
leveraging queue length and attention mechanisms for enhanced traffic signal control optimization	attentionlight
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
a unifying framework for interpolatory $\mathcal{l}_2$-optimal reduced-order modeling	l2-opt-interp-ex
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
multi-agent reach-avoid games: two attackers versus one defender and mixed integer programming	MARAG
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
target controllability and target observability of structured network systems	targetctrb
partition and code: learning how to compress graphs	PnC
cloudy forecast: how predictable is communication latency in the cloud?	unh-clt
zdns: a fast dns toolkit for internet measurement	zdns
a truly concurrent semantics for reversible ccs	reversible-ccs-as-nets
ecn with quic: challenges in the wild	quic-ecn-measurements

2023-09-25

paper	code
recent advances in path integral control for trajectory optimization: an overview in theoretical and algorithmic perspectives	an-overview-on-recent-advances-in-path-integral-control

2023-09-22

paper	code
density planner: minimizing collision risk in motion planning with dynamic obstacles using density-based reachability	density_planner
deep sound-field denoiser: optically-measured sound-field denoising using deep neural network	deep-sound-field-denoiser
renewable-based charging in green ride-sharing	renewableev
smart: self-morphing adaptive replanning tree	smart
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
drift control of high-dimensional rbm: a computational method based on neural networks	rbmsolver
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
regret and conservatism of constrained stochastic model predictive control	regret-and-conservatism-of-smpc
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
powermodelsada: a framework for solving optimal power flow using distributed algorithms	powermodelsada.jl
sustainability assessment of low earth orbit (leo) satellite broadband mega-constellations	saleos
actively learning reinforcement learning: a stochastic optimal control approach	active-learning-reinforcement-learning
guarantees on robot system performance using stochastic simulation rollouts	performance_guarantees
practical probabilistic model-based deep reinforcement learning by integrating dropout uncertainty and trajectory sampling	DPETS
multi-step model predictive safety filters: reducing chattering by increasing the prediction horizon	safe-control-gym
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
routenet-fermi: network modeling with graph neural networks	bnnetsimulator
stein variational guided model predictive path integral control: proposal and experiments with fast maneuvering vehicles	proj-svg_mppi

2023-09-20

paper	code
dissipativity and integral quadratic constraints, tailored computational robustness tests for complex interconnections	Robust-invariance-with-integral-quadratic-constraints
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
trust-region neural moving horizon estimation for robots	tr-neuromhe
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
learning adaptive safety for multi-agent systems	learning_adaptive_safety
interval signal temporal logic from natural inclusion functions	baird_lcss2024
chamelemon: shifting measurement attention as network state changes	chamelemon
safe and accelerated deep reinforcement learning-based o-ran slicing: a hybrid transfer learning approach	tl-aided-drl
evaluating the benefits: quantifying the effects of tcp options, quic, and cdns on throughput	active-tcp-and-quic-measurements
towards energy-aware federated traffic prediction for cellular networks	federated-time-series-forecasting

2023-09-19

paper	code
proper learning of linear dynamical systems as a non-commutative polynomial optimisation problem	proper-learning-of-lds
subgroup fairness in two-sided markets	fairness-in-two-sided-markets
neural moving horizon estimation for robust flight control	neuromhe
stable and safe reinforcement learning via a barrier-lyapunov actor-critic approach	a-barrier-lyapunov-actor-critic-reinforcement-learning-approach-for-safe-and-stable-control
observability of hypergraphs	observability-of-hypergraphs
distributionally robust cvar-based safety filtering for motion planning in uncertain environments	dr-cvar-safety_filtering
forward invariance in neural network controlled systems	harapanahalli_lcss2024
efficient belief road map for planning under uncertainty	vimp
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
prompt a robot to walk with large language models	prompt2walk
vontss: vmf based semi-supervised neural topic modeling with optimal transport	vONTSS
rifl: a reliable link layer network protocol for data center communication	rifl

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
unconstrained parametrization of dissipative and contracting neural ordinary differential equations	noderen
optimization algorithm synthesis based on integral quadratic constraints: a tutorial	Algorithm-Synthesis
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
automated multi-drugs administration during total intravenous anesthesia using multi-model predictive control	tiva_drug_control
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
mahtm: a multi-agent framework for hierarchical transactive microgrids	rl-energy-management
empirical individual state observability	eiso
ungar $\unicode{x2013}$ a c++ framework for real-time optimal control using template metaprogramming	ungar
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
grid-aware on-route fast-charging infrastructure planning for battery electric bus with equity considerations: a case study in south king county	kingcounty_24_node_virtual_power_grid
learning tube-certified control using robust contraction metrics	nnrccm
a densenet-based method for decoding auditory spatial attention with eeg	asad_densenet
influence robustness of nodes in multiplex networks against attacks	MultiCoreRank

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
interaction-aware motion planning for autonomous vehicles with multi-modal obstacle uncertainty predictions	interaction-safety-aware-motion-planning
optimization of hybrid power plants: when is a detailed electrolyzer model necessary?	detailed-electrolyzer-model
robust optimal control for nonlinear systems with parametric uncertainties via system level synthesis	nonlinear-parametric-SLS
processing natural language on embedded devices: how well do modern models perform?	nlp-on-embedded-devices
reactive landing controller for quadruped robots	reactive_landing_controller
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
homothetic tube model predictive control with multi-step predictors	homotheticmpcmultistep
a reinforcement learning approach for robotic unloading from visual observations	rl-for-unloading-from-pixels
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
ensemble-based modeling abstractions for modern self-optimizing systems	ml-deeco-security-isola
strategic latency reduction in blockchain peer-to-peer networks	geth_peri
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
neural moving horizon estimation for robust flight control	neuromhe
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
efficient lqr-cbf-rrt*: safe and optimal motion planning	lqr_cbf_rrtstar
learning personalized models with clustered system identification	cluster-sysid
an online learning analysis of minimax adaptive control	minimaxadaptivecontrolregret
deep metric learning for the hemodynamics inference with electrocardiogram signals	ssldml
audioldm 2: learning holistic audio generation with self-supervised pretraining	AudioLDM2
global convergence of receding-horizon policy search in learning estimator designs	learningkf
avars -- alleviating unexpected urban road traffic congestion using uavs	avars
secure set-based state estimation for linear systems under adversarial attacks on sensors	Secure-Set-Based-Estimation
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
computationally efficient data-driven discovery and linear representation of nonlinear systems for control	koopman-control-no-decoder
data-driven classification of low-power communication signals by an unauthenticated user using a software-defined radio	jammingsdr
robust online estimation of biophysical neural circuits	robust-neuron-estimation
learning zero-sum linear quadratic games with improved sample complexity	zero-sum-lq-games
simwisense: simultaneous multi-subject activity classification through wi-fi signals	simwisense
prista-net: deep iterative shrinkage thresholding network for coded diffraction patterns phase retrieval	prista-net

2023-09-08

paper	code
proper learning of linear dynamical systems as a non-commutative polynomial optimisation problem	proper-learning-of-lds
models of human preference for learning reward functions	regret_based_reward_learning
cutting medusa's path -- tackling kill-chains with quantum computing	Quantum-Vuln-Analysis
watch this space: securing satellite communication through resilient transmitter fingerprinting	SatIQ
dynamic causal graph convolutional network for traffic prediction	DCGCN
cpu frequency scheduling of real-time applications on embedded devices with temporal encoding-based deep reinforcement learning	tinyagent

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
quisp: a quantum internet simulation package	quisp
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
ma-vae: multi-head attention-based variational autoencoder approach for anomaly detection in multivariate time-series applied to automotive endurance powertrain testing	ma-vae
reasoning over the air: a reasoning-based implicit semantic-aware communication framework	isac

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
csm-h-r: a context modeling framework in supporting reasoning automation for interoperable intelligent systems and privacy protection	csm-h-r
an energy-aware approach to design self-adaptive ai-based applications on the edge	self-adaptive-moop
on the safety of connected cruise control: analysis and synthesis with control barrier functions	safe-connected-cruise-control
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
identifiable specializations for ode models	identifiable-specializations-for-ode-models
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
non-standard power grid frequency statistics in asia, australia, and europe	non-standard-power-grid-frequency-statistics-in-asia-australia-and-europe

2023-08-31

paper	code
artificial potential field-based path planning for cluttered environments	apf
global performance guarantees for localized model predictive control	localizedmpcperformance
experimental validation of an explicit flatness-based mpc design for quadcopter position tracking	explicitmpc-for-quadcopters
on low-rank trace regression under general sampling distribution	cv-impute
active tls stack fingerprinting: characterizing tls server deployments at scale	goscanner
quic library hunter: identifying server libraries across the internet	libraries

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
on optimal caching and model multiplexing for large model inference	llm-caching-multiplexing
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
towards an ai-enabled connected industry: agv communication and sensor measurement datasets	ai4mobile-industrial

2023-08-29

paper	code
logical zonotopes: a set representation for the formal verification of boolean functions	Logical-Zonotope
safety filter design for neural network systems via convex optimization	nn-system-psf
self-supervised scalable deep compressed sensing	scnet
a comparative conflict resolution dataset derived from argoverse-2: scenarios with vs. without autonomous vehicles	conflict_resolution_dataset
a comparison of neural networks for wireless channel prediction	channel_prediction_dnn
task-aware machine unlearning and its application in load forecasting	task_aware_machine_unlearning
on the statistical relation of ultra-reliable wireless and location estimation	localization-and-reliability-in-urllc
federated learning for 5g base station traffic forecasting	federated-time-series-forecasting
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
learning to control autonomous fleets from observation via offline reinforcement learning	offline-rl-amod
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
consensus on lie groups for the riemannian center of mass	rcm-consensus-lie-group
in-context learning for model-free system identification	sysid-transformers

2023-08-25

paper	code
time-limited balanced truncation for data assimilation problems	TLBTforDA
quantized radio map estimation using tensor and deep generative models	Quantized-Radio-Map-Estimation-BTD-and-DGM
koopman-hopf hamilton-jacobi reachability and control	hopfreachability
conformal prediction regions for time series using linear complementarity programming	timeparamcpscores
dh-ptam: a deep hybrid stereo events-frames parallel tracking and mapping system	dh-ptam
robust regret optimal control	Robust_Regret_Optimal_Control
safe non-stochastic control of linear dynamical systems	non-stochastic-control

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
reinforcement learning -based adaptation and scheduling methods for multi-source dash	master_thesis

2023-08-23

paper	code
safe learning mpc with limited model knowledge and data	wasserstein-nonlinear-mpc
learning to learn graph topologies	l2g-neurips2021
tightly integrated motion classification and state estimation in foot-mounted navigation systems	filterbanks
csm-h-r: an automatic context reasoning framework for interoperable intelligent systems and privacy protection	csm-h-r
graph neural network-enhanced expectation propagation algorithm for mimo turbo receivers	GNN-enhanced-EP-for-Turbo-MIMO
iterative risk-constrained model predictive control: a data-driven distributionally robust approach	dr-irmpc
information content and maximum entropy of compartmental systems in equilibrium	entropy_and_complexity_in_eq

2023-08-22

paper	code
mixed-integer linear programming approaches for tree partitioning of power networks	tree-partitioning
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
comprehensively analyzing the impact of cyberattacks on power grids	wattson
diffcharge: generating ev charging scenarios via a denoising diffusion model	diffcharge
what is the impact of releasing code with publications? statistics from the machine learning, robotics, and control communities	code-release
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
distributed control of descriptor networks: a convex procedure for augmented sparsity	CONPRAS
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
data-driven input reconstruction and experimental validation	polydome
a reminder of its brittleness: language reward shaping may hinder learning for instruction following agents	brittleness_of_lrs
comprehensive training and evaluation on deep reinforcement learning for automated driving in various simulated driving maneuvers	drlcarsim-paper
online learning for robust voltage control under uncertain grid topology	voltctrl
remote bio-sensing: open source benchmark framework for fair evaluation of rppg	rppg
ensemble kalman filters with resampling	enkf-with-resampling
swinjscc: taming swin transformer for deep joint source-channel coding	swinjscc
on the power of gradual network alignment using dual-perception similarities	grad-align-full

2023-08-17

paper	code
a reinforcement learning approach for performance-aware reduction in power consumption of data center compute nodes	generalized_rl_anl
safety filter design for neural network systems via convex optimization	nn-system-psf
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
soy: an efficient milp solver for piecewise-affine systems	soy
rigorous dynamical mean field theory for stochastic gradient descent methods	rigorous-dynamical-mean-field-theory
rifo: pushing the efficiency of programmable packet schedulers	rifo

2023-08-15

paper	code
chance constrained stochastic optimal control for linear systems with time varying random plant parameters	shawnpriore-time-varying-plant
chance constrained stochastic optimal control for linear systems with a time varying random control matrix	shawnpriore-random-control
project-based learning for robot control theory: a robot operating system (ros) based approach	pbl_robot_control
decentralized sgd and average-direction sam are asymptotically equivalent	icml-2023-dsgd-and-sam
can we transfer noise patterns? a multi-environment spectrum analysis model using generated cases	cnst
large-scale environment mapping and immersive human-robot interaction for agricultural mobile robot teleoperation	enhance-sfm

2023-08-14

paper	code
collaborative learning with a drone orchestrator	collaborative-learning-with-a-drone-orchestrator
exploring operational flexibility of active distribution networks with low observability	flexibility_under_low_observability
a thru-free multiline calibration	thru-free-multiline-calibration
unlocking the diagnostic potential of ecg through knowledge transfer from cardiac mri	mmcl-ecg-cmr
the impact of overall optimization on warehouse automation	aope-sim
a law of data separation in deep learning	re-equi-sepa

2023-08-11

paper	code
power system anomaly detection and classification utilizing wls-ekf state estimation and machine learning	anomaly_identification
cosys-airsim: a real-time simulation framework expanded for complex industrial applications	Cosys-AirSim
predicting strategic energy storage behaviors	predicting-strategic-energy-storage-behaviors
match-based solution of general parametric eigenvalue problems	pevp_match
deep generative models for unsupervised delamination detection using guided waves	anovae-delamshm
audioldm 2: learning holistic audio generation with self-supervised pretraining	AudioLDM2
ndn4ivc: a framework for simulating and testing of applications in vehicular named data networking	ndn4ivc
direct telemetry access	dta
information decomposition reveals hidden high-order contributions to temporal irreversibility	fastdmf

2023-08-10

paper	code
online distributed algorithm for optimal power flow problem with regret analysis	online_distributed_OPF
emergence of the svd as an interpretable factorization in deep learning for inverse problems	descrambling-nn
koopman-hopf hamilton-jacobi reachability and control	hopfreachability
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
ftmrate: collision-immune distance-based data rate selection for ieee 802.11 networks	ftmrate
automl4etc: automated neural architecture search for real-world encrypted traffic classification	automl4etc

2023-08-09

paper	code
practical and rigorous uncertainty bounds for gaussian process regression	uncertaintybounds21
rtsnet: learning to smooth in partially known state-space models	rtsnet_tsp
communication-efficient decentralized multi-agent reinforcement learning for cooperative adaptive cruise control	macacc
quantum and quantum-inspired stereographic k nearest-neighbour clustering	stereographic-quantum-embedding-clustering

2023-08-08

paper	code
model parameter identification via a hyperparameter optimization scheme for autonomous racing systems	mi-hpo
l-seqsleepnet: whole-cycle long sequence modelling for automatic sleep staging	l-seqsleepnet
interval reachability of nonlinear dynamical systems with neural network controllers	l4dc2023_nncontrollerreachability
dca: delayed charging attack on the electric shared mobility system	dca_simulator
successive pose estimation and beam tracking for mmwave vehicular communication systems	Fast-CFEAR-Radar-Odometry
branched latent neural operators	blno.jl
group-$k$ consistent measurement set maximization via maximum clique over k-uniform hypergraphs for robust multi-robot map merging	gkcm
k-band: self-supervised mri reconstruction via stochastic gradient descent over k-space subsets	k-band
p4testgen: an extensible test oracle for p4	p4c

2023-08-07

paper	code
$\mathcal{n}$ipm-hlsp: an efficient interior-point method for hierarchical least-squares programs	nipm-hlsp
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
securing name resolution in the iot: dns over coap	Artifacts-CoNEXT23-DoC

2023-08-03

paper	code
models of human preference for learning reward functions	regret_based_reward_learning
differentially private distributed estimation and learning	dp-distributed-estimation
bayesian algorithms for kronecker-structured sparse vector recovery with application to irs-mimo channel estimation	journalkrosbl
approximate model-based shielding for safe reinforcement learning	ambs
planar friction modelling with lugre dynamics and limit surfaces	frictionmodelling
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
probabilistic traversability model for risk-aware motion planning in off-road environments	mppi_numba
home energy management with dynamic tariffs and tiered peak power charges	home-energy-management
robust regret optimal control	Robust_Regret_Optimal_Control
matnilm: multi-appliance-task non-intrusive load monitoring with limited labeled data	matnilm
ultrasound image reconstruction with denoising diffusion restoration models	drus-v1
robust multi-agent reinforcement learning with state uncertainty	robust_marl_with_state_uncertainty
rcs-yolo: a fast and high-accuracy object detector for brain tumor detection	rcs-yolo
conformal pid control for time series prediction	conformal-time-series
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
learning provably stabilizing neural controllers for discrete-time stochastic systems	neural_martingales
learning nonlinear projections for reduced-order modeling of dynamical systems using constrained autoencoders	romnet_chaos2023
securing name resolution in the iot: dns over coap	Artifacts-CoNEXT23-DoC
dime: maximizing mutual information by a difference of matrix-based entropies	DiME
quantifying & modeling multimodal interactions: an information decomposition framework	pid
secure middlebox-assisted quic	2023-ifip-nw-smaq

2023-07-28

paper	code
learning transfer operators by kernel density estimation	fpoperatorde
multi-objective deep reinforcement learning for mobile edge computing	mec_morl_multipolicy

2023-07-27

paper	code
towards safer self-driving through great pain (physically adversarial intelligent networks)	PAIN
multi-target tracking with transferable convolutional neural networks	mtt
on discrete symmetries of robotics systems: a group-theoretic and data-driven analysis	morphosymm
manifold filter-combine networks	mfcn
limsim: a long-term interactive multi-scenario traffic simulator	LimSim
learning to design analog circuits to meet threshold specifications	circuit-synthesis
a constraint enforcement deep reinforcement learning framework for optimal energy storage systems dispatch	Energy-management-MIP-Deep-Reinforcement-Learning
teal: learning-accelerated optimization of wan traffic engineering	teal
tsn-flextest: flexible tsn measurement testbed (extended version)	tsn-testbed

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
real-time neural-mpc: deep learning model predictive control for quadrotors and agile robotic platforms	ml-casadi
bounded simplex-structured matrix factorization: algorithms, identifiability and applications	bssmf.jl
easpace: enhanced action space for policy transfer	easpace
a switching gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity	switching-gplfm
differentially private distributed estimation and learning	dp-distributed-estimation
optimizing task waiting times in dynamic vehicle routing	mdvrp-optimal-policy
a new method for identifying weather-induced power system stress using shadow prices	stressful-weather
adaptive regularized zero-forcing beamforming in massive mimo with multi-antenna users	Adaptive-Regularized-Zero-Forcing-Beamforming-in-Massive-MIMO-with-Multi-Antenna-Users
network traffic classification based on single flow time series analysis	classificationbasedonsfts

2023-07-25

paper	code
nilm as a regression versus classification problem: the importance of thresholding	better_nilm
(stochastic) model predictive control -- a simulation example	smpc_example
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
exact characterization of the convex hulls of reachable sets	convex_hull_reachability
towards autonomous system: flexible modular production system enhanced with large language model agents	gpt4industrialautomation
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
implementing reinforcement learning datacenter congestion control in nvidia nics	rl-cc
knowledge-based intent modeling for next generation cellular networks	intentrdfproject
corrfl: correlation-based neural network architecture for unavailability concerns in a heterogeneous iot environment	CorrFL
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
neural operators for delay-compensating control of hyperbolic pides	no_hyperbolic_delay
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
mitigating communications threats in decentralized federated learning through moving target defense	fedstellar

2023-07-21

paper	code
learning-based reconstruction of fri signals	LearningBasedFRI
tackling universal properties of minimal trap spaces of boolean networks	cegar-bonesis
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
differentially flat learning-based model predictive control using a stability, state, and input constraining safety filter	fmpc_socp
can information flows suggest targets for interventions in neural circuits?	ann-info-flow
chamelemon: shifting measurement attention as network state changes	chamelemon
data-driven latency probability prediction for wireless networks: focusing on tail probabilities	wireless-pr3d

2023-07-20

paper	code
dreamr: diffusion-driven counterfactual explanation for functional mri	dreamr
viser: a tractable solution concept for games with information asymmetry	viser
alpaserve: statistical multiplexing with model parallelism for deep learning serving	mms
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
towards dynamic causal discovery with rare events: a nonparametric conditional independence test	l4dc2023-causality
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
parametric and state estimation of stationary mems-imus: a tutorial	multiple-mems-imus-estimation
classification with incoherent kernel dictionary learning	incoherent-kernel-dictionary-learning
reduced kernel dictionary learning	rkdl
adaptive data-driven predictive control as a module in building control hierarchy: a case study of demand response in switzerland	risk_src_yingzhao
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
enhancing network slicing architectures with machine learning, security, sustainability and experimental networks integration	sfi2-energy-sustainability

2023-07-18

paper	code
the time-freezing reformulation for numerical optimal control of complementarity lagrangian systems with state jumps	nosnoc
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
robust data-driven predictive control of unknown nonlinear systems using reachability analysis	Data-Driven-Predictive-Control
closed-form control with spike coding networks	scn_estimation_and_control
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
home energy management with dynamic tariffs and tiered peak power charges	home-energy-management
negative probabilities in gene regulatory networks	negative-probability-forward-backward
gradient-free training of neural odes for system identification and control using ensemble kalman inversion	eki-neural-ode
the netmob23 dataset: a high-resolution multi-region service-level mobile data traffic cartography	netmob2023challenge
secure middlebox-assisted quic	2023-ifip-nw-smaq
externally validating the iotdevid device identification methodology using the cic iot 2022 dataset	iotdevid-cic

2023-07-17

paper	code
traction control allocation employing vehicle motion feedback controller for four-wheel-independent-drive vehicle	formulacarmaker
optimizing task waiting times in dynamic vehicle routing	mdvrp-optimal-policy
hypergraph-based fast distributed ac power flow optimization	rapidPF
value-gradient iteration with quadratic approximate value functions	vgi
an online learning analysis of minimax adaptive control	minimaxadaptivecontrolregret
verification of quantum systems using barrier certificates	quantum-barrier-certificates

2023-07-14

paper	code
semantic information recovery in wireless networks	sinfony
iterative convex optimization for model predictive control with discrete-time high-order control barrier functions	iterative-mpc-dhocbf
human biophysics as network weights: conditional generative models for dynamic simulation	biomime
towards safe autonomous driving policies using a neuro-symbolic deep reinforcement learning approach	safe-reinforcement-learning-using-symbolic-logical-programming-for-autonomous-highway-driving
limsim: a long-term interactive multi-scenario traffic simulator	LimSim
meta-state-space learning: an identification approach for stochastic dynamical systems	metass-code-repo

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
improved uncertainty quantification for neural networks with bayesian last layer	2023_paper_bll_lml
dsse: a drone swarm search environment	drone-swarm-search
semi-device-dependent blind quantum tomography	blind-quantum-tomography
fundamental limits for sensor-based robot control	performance-limits
a worldwide look into mobile access networks through the eyes of amigos	mobile-testbed
introducing packet-level analysis in programmable data planes to advance network intrusion detection	p4ddle
a linear algebraic framework for dynamic scheduling over memory-equipped quantum networks	dynschedsimulator_journal

2023-07-12

paper	code
estimating the convex hull of the image of a set with smooth boundary: error bounds and applications	convex-hull-estimation
super-resolution radar imaging with sparse arrays using a deep neural network trained with enhanced virtual data	sparse-array-radar-imaging
pegasus simulator: an isaac sim framework for multiple aerial vehicles simulation	PegasusSimulator
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
superstabilizing control of discrete-time arx models under error in variables	eiv_arx
quantum search approaches to sampling-based motion planning	qrrt
decentralized sgd and average-direction sam are asymptotically equivalent	icml-2023-dsgd-and-sam
neural abstraction-based controller synthesis and deployment	neural-representation
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
secrets revealed in container images: an internet-wide study on occurrence and impact	docker-secret-analysis

2023-07-10

paper	code
deep optimal transport for domain adaptation on spd manifolds	deep-optimal-transport-for-domain-adaptation-on-spd-manifolds
model- and acceleration-based pursuit controller for high-performance autonomous racing	map-controller
avoiding post-processing with event-based detection in biomedical signals	eventnet
on discrete symmetries of robotics systems: a group-theoretic and data-driven analysis	morphosymm
exact recovery of the support of piecewise constant images via total variation regularization	2023-support-recovery-tv
nancy: an efficient parallel network calculus library	softx-d-22-00130

2023-07-07

paper	code
tube-certified trajectory tracking for nonlinear systems with robust control contraction metrics	robust_ccm_tube
deep-lcc: data-enabled predictive leading cruise control in mixed traffic flow	deep-lcc
survey on lagrangian relaxation for milp: importance, challenges, historical review, recent advancements, and opportunities	SLBLR
renewable energy management in smart home environment via forecast embedded scheduling based on recurrent trend predictive neural network	Recurrent-Trend-Predictive-Neural-Network
alpcah: sample-wise heteroscedastic pca with tail singular value regularization	alpcah
risk-averse trajectory optimization via sample average approximation	riskaversetrajopt
version control of speaker recognition systems	SpeakerVerSim
deep reinforcement learning for orchestrating cost-aware reconfigurations of vrans	larv_datasets
position-based machine learning propagation loss model enabling fast digital twins of wireless networks in ns-3	ml-propagation-loss-model
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
towards safe autonomous driving policies using a neuro-symbolic deep reinforcement learning approach	safe-reinforcement-learning-using-symbolic-logical-programming-for-autonomous-highway-driving
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
an overview of the net playground -- a heterogeneous, multi-functional network test bed	net-playground
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
traffic centralization and digital sovereignty: an analysis under the lens of dns servers	dns-sovereignty
a neural collapse perspective on feature evolution in graph neural networks	gnn_collapse
instantaneous wireless robotic node localization using collaborative direction of arrival	cdoa-localization
age of information analysis in shared edge computing servers	aoi_edge_computing
darkhorse: a udp-based framework to improve the latency of tor onion services	tor-with-spoofing

2023-07-04

paper	code
a lego-brick approach to coding for network communication	lego-brick
interaction-aware motion planning for autonomous vehicles with multi-modal obstacle uncertainties in multi-vehicle scenarios	interaction-safety-aware-motion-planning
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
synthesizing control laws from data using sum-of-squares optimization	data-clf
decision-oriented two-parameter fisher information sensitivity using symplectic decomposition	symplecticfishersensitivity
worth of knowledge in deep learning	worth_of_knowledge
engage: explanation guided data augmentation for graph representation learning	engage

2023-07-03

paper	code
sample average approximation for stochastic programming with equality constraints	stochasticedl
team: a parameter-free algorithm to teach collaborative robots motions from user demonstrations	team
learning bilinear models of actuated koopman generators from partially-observed trajectories	koopmangeneratorem
role of single particle motility statistics on efficiency of targeted delivery of micro-robot swarms	micro-robotic-simulations
root tracking for rate-distortion: approximating a solution curve with higher implicit multivariate derivatives	rtrd
securing name resolution in the iot: dns over coap	aiodnsprox

2023-06-30

paper	code
noise detection with spectator qubits and quantum feature engineering	QFEND
losing control of your network? try resilience theory	network-resilience
assessing the performance of 1d-convolution neural networks to predict concentration of mixture components from raman spectra	ramix
experience transfer for robust direct data-driven control	rddc
accurate pet reconstruction from reduced set of measurements based on gmm	accurate-pet-reconstruction-from-reduced-set-of-measurements-based-on-gmm
mvpipe: enabling lightweight updates and fast convergence in hierarchical heavy hitter detection	MVPipe
tokenization and the noiseless channel	tokenization-scorer

2023-06-29

paper	code
adaptive observers for biophysical neuronal circuits	online-learning
occupant-oriented demand response with multi-zone thermal building control	conrol-results
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
differentially private distributed estimation and learning	dp-distributed-estimation
data-driven approach for diagnostic analysis of dynamic bottlenecks in serial manufacturing systems	2023_bottleneck_diagnosis_arxiv
understanding a version of multivariate symmetric uncertainty to assist in feature selection	package=msu
impact of user privacy and mobility on edge offloading	offloading
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
real-time motion planning and decision-making for a group of differential drive robots under connectivity constraints using robust mpc and mixed-integer programming	mas_mpc_mip_ita
on controller tuning with time-varying bayesian optimization	uitvbo
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
a mixed-integer approach for motion planning of nonholonomic robots under visible light communication constraints	milp_vlc_motion_planning
llmzip: lossless text compression using large language models	LLMzip
ethp2psim: evaluating and deploying privacy-enhanced peer-to-peer routing protocols for the ethereum network	ethp2psim

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
deep statistical solver for distribution system state estimation	deep-statistical-solver-for-distribution-system-state-estimation
fault detection via occupation kernel principal component analysis	OKPCA
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
towards greener data centers via programmable data plane	p4green

2023-06-26

paper	code
dlkoopman: a deep learning software package for koopman theory	dlkoopman
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
polynomial logical zonotopes: a set representation for reachability analysis of logical systems	Logical-Zonotope
robustneuralnetworks.jl: a package for machine learning and data-driven control with certified robustness	RobustNeuralNetworks.jl
pykoopman: a python package for data-driven approximation of the koopman operator	pykoopman

2023-06-22

paper	code
logical zonotopes: a set representation for the formal verification of boolean functions	Logical-Zonotope
space-time design for deep joint source channel coding of images over mimo channels	st_jscc
mutatenn: mutation testing of image recognition models deployed on hardware accelerators	mutatenn
a graphical modeling language for artificial intelligence applications in automation systems	gml-aiaas
predicting strategic energy storage behaviors	predicting-strategic-energy-storage-behaviors
probabilistic qos-aware placement of vnf chains at the edge	EdgeUsher
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
whiplash gradient descent dynamics	Whiplash
scale dependencies and self-similar models with wavelet scattering spectra	scattering_spectra
multi-agent multi-target path planning in markov decision processes	Multi-agent-Multi-target-path-planning-in-MDPs
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
circuit analysis using monotone+skew splitting	circuit-analysis-using-monotone-skew-splitting
drl-based energy-efficient baseband function deployments for service-oriented open ran	Energy-Efficient-DU-CU-MEC-Deployments-for-Open-RAN
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
variational gaussian filtering via wasserstein gradient flows	wasserstein-flow-filter
delayed resilient trajectory tracking after partial loss of control authority over actuators	spacecraft-resilience
a novel correlation-optimized deep learning method for wind speed forecast	A-Novel-Correlation-optimized-Deep-Learning-Method-for-Wind-Speed-Forecast
lora backscatter communications: temporal, spectral, and error performance analysis	lora-backscatter-performance-analysis
scalable resource management for dynamic mec: an unsupervised link-output graph neural network approach	LOGNN
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
design of an axial flux permanent magnet eddy current brake for application on light weight motor vehicles	Axial-Flux-Permanent-Magnet-Eddy-Current-Brake
to fold or not to fold: graph regularized tensor train for visual data completion	graphttc
deep learning of dynamical system parameters from return maps as images	parameter_regression_from_return_maps_paper_code
imp-marl: a suite of environments for large-scale infrastructure management planning via marl	imp_marl
fdnet: focal decomposed network for efficient, robust and practical time series forecasting	fdnet
beyond normal: on the evaluation of mutual information estimators	bmi
on cross-layer interactions of quic, encrypted dns and http/3: design, evaluation and dataset	doq-h3-analysis

2023-06-19

paper	code
state aggregation for distributed value iteration in dynamic programming	distributed_traffic_routing
quadswarm: a modular multi-quadrotor simulator for deep reinforcement learning with direct thrust control	quad-swarm-rl
a testbed for carbon-aware applications and systems	vessim
super-resolution radar imaging with sparse arrays using a deep neural network trained with enhanced virtual data	sparse-array-radar-imaging
augmenting rule-based dns censorship detection at scale with machine learning	automated-dns-censorship
prenas: preferred one-shot learning towards efficient neural architecture search	prenas
fedstellar: a platform for decentralized federated learning	fedstellar
mementohash: a stateful, minimal memory, best performing consistent hash algorithm	java-consistent-hashing-algorithms

2023-06-16

paper	code
bounding the distance to unsafe sets with convex optimization	distance
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
koopman-inspired implicit backward reachable sets for unknown nonlinear systems	koopmanbrs
carbon emissions and sustainability of launching 5g mobile networks in china	sustainability_5g
low-complexity steered response power mapping based on low-rank and sparse interpolation	lr-sp-int-srp
federated learning-based vehicle trajectory prediction against cyberattacks	fl-tp
towards trustworthy seizure onset detection using workflow notes	eeg_robustness
two-way semantic transmission of images without feedback	TW-SemanticComm
audio tagging on an embedded hardware platform	ai4s-embedded
optimal exploration for model-based rl in nonlinear systems	nonlinear_sysid_for_control
safeguarding data in multimodal ai: a differentially private approach to clip training	dpclip
in search of netunicorn: a data-collection platform to develop generalizable ml models for network security problems	netunicorn-library

2023-06-14

paper	code
semantic information recovery in wireless networks	sinfony
dca: delayed charging attack on the electric shared mobility system	dca_simulator
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
learning to satisfy unknown constraints in iterative mpc	constraintlearning
occupant-oriented demand response with multi-zone thermal building control	conrol-results
rmmdet: road-side multitype and multigroup sensor detection system for autonomous driving	RMMDet
decentralized sgd and average-direction sam are asymptotically equivalent	icml-2023-dsgd-and-sam
energy-based assessment and driving behavior of acc systems and humans inside platoons	ACC_Energy_Assessment
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
iot-ad: a framework to detect anomalies among interconnected iot devices	iot-anomaly-detector

2023-06-12

paper	code
predictive safety filter using system level synthesis	SLS_safety_filter
risk-aware urban air mobility network design with overflow redundancy	Risk-aware-Urban-Air-Mobility-Network-Design-with-Overflow-Redundancy
a fast reduced order method for linear parabolic inverse source problems	rom_lpis
hrtf upsampling with a generative adversarial network using a gnomonic equiangular projection	hrtf-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection
model predictive control for integrated lateral stability	roll-yaw-and-lateral-velocity-mpc
fair queuing aware congestion control	fair-queuing-aware-congestion-control
correlative information maximization: a biologically plausible approach to supervised deep neural networks without weight symmetry	Supervised-CorInfoMax

2023-06-09

paper	code
predictive control barrier functions for online safety critical control	phd-code
classification of stress via ambulatory ecg and gsr data	embc_release
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
safety-critical control for systems with impulsive actuators and dwell time constraints	phd-code
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
heterps: distributed deep learning with reinforcement learning based scheduling in heterogeneous environments	Paddle
learning to suggest breaks: sustainable optimization of long-term user engagement	suggest-breaks
fine-tuning language models with advantage-induced policy alignment	rlhf-apa
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
drl-based energy-efficient baseband function deployments for service-oriented open ran	Energy-Efficient-DU-CU-MEC-Deployments-for-Open-RAN
a persistent-excitation-free method for system disturbance estimation using concurrent learning	code_tcas_2023_zhang
an evidential real-time multi-mode fault diagnosis approach based on broad learning system	multi-mode-fault-diagnosis-datasets-with-te-process
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
managing wildfire risk and promoting equity through optimal configuration of networked microgrids	optimal-microgrid-configuration
criteria tell you more than ratings: criteria preference-aware light graph convolution for effective multi-criteria recommendation	cpa-lgc-recbole
how can we train deep learning models across clouds and continents? an experimental study	hivemind-multi-cloud
estimating conditional mutual information for dynamic feature selection	dime

2023-06-06

paper	code
sparse tree search optimality guarantees in pomdps with continuous observation spaces	SparseSampling.jl
california test system (cats): a geographically accurate test system based on the california grid	cats-californiatestsystem
multiagent rollout with reshuffling for warehouse robots path planning	multi-agent-rollout
adaptive whitening in neural populations with gain-modulating interneurons	frame_whitening
data augmentation for generating synthetic electrogastrogram time series	syegg
autorl hyperparameter landscapes	autorl-landscape
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
on optimal caching and model multiplexing for large model inference	llm-caching-multiplexing
why we should report the details in subjective evaluation of tts more rigorously	subjectiveevaluation
subspacenet: deep learning-aided subspace methods for doa estimation	subspacenet
decentralized sgd and average-direction sam are asymptotically equivalent	icml-2023-dsgd-and-sam
frequency regulation with storage: on losses and profits	cost-of-frequency-regulation-through-electricity-storage
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
modeling tor network growth by extrapolating consensus data	torsynth

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
safe environmental envelopes of discrete systems	transitional-robustness
average aoi minimization for energy harvesting relay-aided status update network using deep reinforcement learning	relay-selection-based-on-dqn
mutatenn: mutation testing of image recognition models deployed on hardware accelerators	mutatenn
bayes-optimal limits in structured pca, and how to reach them	structured-pca-
probably anytime-safe stochastic combinatorial semi-bandits	passcsb
monarch: network slice monitoring architecture for cloud native 5g deployments	5g-monarch

2023-06-02

paper	code
stability verification of neural network controllers using mixed-integer programming	evanqp
structural optimization of factor graphs for symbol detection via continuous clustering and machine learning	factor_graph_structural_opt
no driver, no regulation? --online legal driving behavior monitoring for self-driving vehicles	dotl
temporal logic motion planning with convex optimization via graphs of convex sets	ltl_gcs
unearthing insights into mars: unsupervised source separation with limited data	insight_src_sep
modeling cell size distribution with heterogeneous flux balance analysis	heterogeneous_fba
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
structured neural-pi control for networked systems: stability and steady-state optimality guarantees	neuralpi_networked_systems
on the convergence of inexact gradient descent with controlled synchronization steps	inexact-gradient-descent
residual policy learning for vehicle control of autonomous racing cars	rpl4f110
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
occupant-oriented demand response with room-individual building control	conrol-results
invertible kernel pca with random fourier features	invertible_kernel_PCA
variational gaussian filtering via wasserstein gradient flows	wasserstein-flow-filter
on the optimal recovery of graph signals	orofgraphsignals
identification of stormwater control strategies and their associated uncertainties using bayesian optimization	baeopt
e-panns: sound recognition using efficient pre-trained audio neural networks	e-panns
large car-following data based on lyft level-5 open dataset: following autonomous vehicles vs. human-driven vehicles	car-following-dataset-hv-vs-av
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
cn2f: a cloud-native cellular network framework	core
how does information bottleneck help deep learning?	information-bottleneck
design and implementation of intelligent packet filtering in iot microcontroller-based devices	t800
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
heterps: distributed deep learning with reinforcement learning based scheduling in heterogeneous environments	Paddle
exploring self-attention mechanisms for speech separation	speechbrain
doubly-iterative sparsified mmse turbo equalization for otfs modulation	dismmse-turbo-equalizer-for-otfs
unsupervised reward shaping for a robotic sequential picking task from visual observations in a logistics scenario	bootstrapping-rl-4-sequential-picking
stochastic robustness interval for motion planning with signal temporal logic	stori
ensemble gaussian processes for adaptive autonomous driving on multi-friction surfaces	multisurface-racing
optimal resource allocation with delay guarantees for network slicing in disaggregated ran	paper-fgkcj-2023
new cycle-based formulation, cost function, and heuristics for dc opf based controlled islanding	power_network_clustering
online causation monitoring of signal temporal logic	stl-causation-monitor
structured neural-pi control with end-to-end stability and output tracking guarantees	mimo-neural-pi
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
bandit submodular maximization for multi-robot coordination in unpredictable and partially observable environments	bandit-sequential-greedy
value of information analysis for rationalising information gathering in building energy analysis	bsim23-voi-examples
a reminder of its brittleness: language reward shaping may hinder learning for instruction following agents	brittleness_of_lrs
modulate your spectrum in self-supervised learning	intl
distributionally robust linear quadratic control	dr-control
the representation jensen-shannon divergence	representationjsd
computation of reliability statistics for finite samples of success-failure experiments	relistats
communication-efficient reinforcement learning in swarm robotic networks for maze exploration	mazecommrl

2023-05-26

paper	code
data assimilation networks	dan_james
qcm-sgm+: improved quantized compressed sensing with score-based generative models	qcs-sgm-plus
a framework for leveraging chatgpt on programming tasks in energy systems	chatgpt-for-power-system-programming-tasks
trend-based sac beam control method with zero-shot in superconducting linear accelerator	tbsac
deep learning-enabled mcmc for probabilistic state estimation in district heating grids	dnn_mcmc4dh
emergency response person localization and vital sign estimation using a semi-autonomous robot mounted sfcw radar	radar-vitals-estimation

2023-05-25

paper	code
network-aware flexibility requests for distribution-level flexibility markets	flexrequest-creation
poisson multi-bernoulli mixture filter with general target-generated measurements and arbitrary clutter	extented-target-pmbm-filter-independent-clutter-sources
cooperative distributed mpc via decentralized real-time optimization: implementation results for robot formations	dmpc_rto
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
guessing winning policies in ltl synthesis by semantic learning	benchmarks
stochastic unrolled federated learning	fed-surf
safety-aware semi-end-to-end coordinated decision model for voltage regulation in active distribution network	se2e_dataset
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
on discrete symmetries of robotics systems: a group-theoretic and data-driven analysis	robotequivariantnn
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
quantum key distribution with minimal qubit transmission based on multiqubit greenberger horne zeilinger state	GHZ-QKD-Simulation
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
online decision making for trading wind energy	online-trading-wind-energy
grid-free harmonic retrieval and model order selection using deep convolutional neural networks	deepest-demo
koopman-hopf hamilton-jacobi reachability and control	hopfreachability
reconciling high accuracy, cost-efficiency, and low latency of inference serving systems	infadapter
project-based learning for robot control theory: a robot operating system (ros) based approach	pbl_robot_control
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
an intelligent sdwn routing algorithm based on network situational awareness and deep reinforcement learning	drl-pponsa

2023-05-18

paper	code
pmnet: robust pathloss map prediction via supervised learning	pmnet
learning robust state observers using neural odes (longer version)	l4dc_neural_odes_observer
optimizing energy efficiency in metro systems under uncertainty disturbances using reinforcement learning	rl4metro
outage performance and novel loss function for an ml-assisted resource allocation: an exact analytical framework	greedy-resource-allocation-outage-classification
distributionally robust differential dynamic programming with wasserstein distance	dr-ddp
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
fairness in forecasting of observations of linear dynamical systems	Fairness-in-Learning-of-LDS
supervisory control for dynamic feature configuration in product lines	tecs_ple
analysis and detectability of offline data poisoning attacks on linear dynamical systems	poisoning-data-driven-controllers
automated reachability analysis of neural network-controlled systems via adaptive polytopes	automatedreach
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
signal temporal logic meets convex-concave programming: a structure-exploiting sqp algorithm for stl specifications	stlccp
reconfigurable quantum internet service provider	quagent
graph reinforcement learning for network control via bi-level optimization	graph-rl-for-network-optimization
comprehensively analyzing the impact of cyberattacks on power grids	wattson
stlccp: an efficient convex optimization-based framework for signal temporal logic specifications	stlccp
phase retrieval via model-free power flow jacobian recovery	powerphaseretrieval.jl

2023-05-16

paper	code
control strategies for autonomous vehicles	Self_Driving_Car_Trajectory_Tracking
proximally optimal predictive control algorithm for path tracking of self-driving cars	Self_Driving_Car_Trajectory_Tracking
compositional learning of dynamical system models using port-hamiltonian neural networks	compositional_port_hamiltonian_nns
locality sensitive hashing via mechanical behavior	mechhs
slicertms: interactive real-time visualization of transcranial magnetic stimulation using augmented reality and deep learning	SlicerTMS
acromonk: a minimalist underactuated brachiating robot	acromonk
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
your router is my prober: measuring ipv6 networks via icmp rate limiting side channels	ivantage

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
probabilistic traversability model for risk-aware motion planning in off-road environments	mppi_numba
active sensing for two-sided beam alignment and reflection design using ping-pong pilots	active-sensing-beam-alignment
a simulator for fully-actuated uavs	aircraft-simulator-matlab
scaling laws of dynamic high-capacity ride-sharing	ride-sharing-simulator
differentially private set-based estimation using zonotopes	differentially-private-set-based-estimation-using-zonotopes
prenas: preferred one-shot learning towards efficient neural architecture search	prenas
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
optimal tracking strategies in a turbulent flow	optimal-tracking-strategies-in-a-turbulent-flow
a generalizable physics-informed learning framework for risk probability estimation	pipe-l4dc
pseudo-hamiltonian system identification	phsi
scor: software-defined constrained optimal routing platform for sdn	SCOR
e-graphsage: a graph neural network based intrusion detection system for iot	E-GraphSAGE
the netmob23 dataset: a high-resolution multi-region service-level mobile data traffic cartography	netmob2023challenge

2023-05-11

paper	code
phaseaug: a differentiable augmentation for speech synthesis to simulate one-to-many mapping	phaseaug
hybrid multi-agent deep reinforcement learning for autonomous mobility on demand systems	hybridmadrl-amod
spiking neural networks in the alexiewicz topology: a new perspective on analysis and error bounds	alexsnn
strategic latency reduction in blockchain peer-to-peer networks	geth_peri
blockchain based resource governance for decentralized web environments	usagecontrol-decentraltrading

2023-05-10

paper	code
robust information bottleneck for task-oriented communication with digital modulation	Discrete-TaskOriented-JSCC
gaussian process deconvolution	gaussian-process-deconvolution
impact of climate simulation resolutions on future energy system reliability assessment: a texas case study	climateresolutionpowerreliability
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
optimal energy system scheduling using a constraint-aware reinforcement learning algorithm	Energy-management-MIP-Deep-Reinforcement-Learning
towards building the federated gpt: federated instruction tuning	federatedgpt-shepherd
randomized and exchangeable improvements of markov's, chebyshev's and chernoff's inequalities	randomized-markov
xmasq: low-overhead container overlay network based on ebpf	xmasq

2023-05-09

paper	code
monotone one-port circuits	monotone-one-port-circuits
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
a generalized network level disruption strategy selection model for urban public transport systems	transit-disruption-mitigation
causalsim: a causal framework for unbiased trace-driven simulation	unbiased-trace-driven-simulation
unrolled architectures for high-throughput encoding of multi-kernel polar codes	polar-encoder-compiler

2023-05-08

paper	code
on exponential utility and conditional value-at-risk as risk-averse performance criteria	IEEE-TCST-2021
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
fast adaptive regression-based model predictive control	fast-regression-mpc
exploration policies for on-the-fly controller synthesis: a reinforcement learning approach	learning-synthesis
global performance guarantees for neural network models of ac power flow	verifystrongsdp
towards the decarbonization of the mobility sector: promoting renewable-based charging in green ride-sharing	green_ride-sharing
tackling universal properties of minimal trap spaces of boolean networks	cegar-bonesis
rcp-rf: a comprehensive road-car-pedestrian risk management framework based on driving risk potential field	AV_risk_model
efficient and robust time-optimal trajectory planning and control for agile quadrotor flight	Fast-fly
conditional and residual methods in scalable coding for humans and machines	research

2023-05-04

paper	code
tutorial: circuit-based electromagnetic transient simulation	tutorial-circuit-based-electromagnetic-transient-simulation
avoiding discretization issues for nonlinear eigenvalue problems	infnep
schedule optimization for transiting exoplanet observations with nasa's pandora smallsat mission	pandora-scheduler
dns privacy with speed? evaluating dns over quic and its impact on web performance	2022-imc-dns-over-quic-web-performance

2023-05-03

paper	code
marker and source-marker reprogramming of most permissive boolean networks and ensembles with bonesis	bonesis
monge-kantorovich optimal transport through constrictions and flow-rate constraints	OMT-with-Flux-rate-Constraint
recurrences reveal shared causal drivers of complex time series	shrec
how to control hydrodynamic force on fluidic pinball via deep reinforcement learning	How-to-Control-Hydrodynamic-Force
distributed optimization for power systems with radial partitioning	dicarp
fast path planning through large collections of safe boxes	fastpathplanning
traction control allocation employing vehicle motion feedback controller for four-wheel-independent-drive vehicle	formulacarmaker
an improved yaw control algorithm for wind turbines via reinforcement learning	rl-yaw-control-algorithm-for-wind-turbines
network error logging: http archive analysis	nel-http-archive-analysis
nelora-bench: a benchmark for neural-enhanced lora demodulation	nelora_dataset

2023-05-02

paper	code
controlling chaos in van der pol dynamics using signal-encoded deep learning	PIDOC
latent signal models: learning compact representations of signal evolution for improved time-resolved, multi-contrast mri	latent_signal_models_mrm_2022
towards improving operation economics: a bilevel mip-based closed-loop predict-and-optimize framework for prescribing unit commitment	bilevel_mip_cpo
elastic buildings: calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization	elastic-buildings
modeling multivariate biosignals with graph neural networks and structured state space models	graphs4mer
falsification of learning-based controllers through multi-fidelity bayesian optimization	mfbo-for-falsification
point cloud forecasting as a proxy for 4d occupancy forecasting	4d-occ-forecasting
improving gradient computation for differentiable physics simulation with contacts	diff_sim_improve_grads
leveraging label non-uniformity for node classification in graph neural networks	label-non-uniformity-gnn
an evidential real-time multi-mode fault diagnosis approach based on broad learning system	multi-mode-fault-diagnosis-datasets-with-te-process
non-linear phase-retrieval algorithms for x-ray propagation-based phase-contrast tomography	phasetorch
model-free motion planning of autonomous agents for complex tasks in partially observable environments	model-free_drl_lstm_on_pomdp_with_ldgba
multi-scale transformer-based network for emotion recognition from multi physiological signals	EPiC-2023-ACII
adaptive sampling of algal blooms using autonomous underwater vehicle and satellite imagery: experimental validation in the baltic sea	gp4aes
exploring proxying quic and http/3 for satellite communication	2022-ifip-nw-quic-proxies
implementing reinforcement learning datacenter congestion control in nvidia nics	rl-cc
nvidia flare: federated learning from simulation to real-world	nvflare
sok: pragmatic assessment of machine learning for network intrusion detection	pragmaticassessment

2023-05-01

paper	code
clnet: complex input lightweight neural network designed for massive mimo csi feedback	CLNet
fairness in forecasting of observations of linear dynamical systems	Fairness-in-Learning-of-LDS
distributed data-driven predictive control for cooperatively smoothing mixed traffic flow	distributed-deep-lcc
regret optimal control for uncertain stochastic systems	scenariosafeminregret
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
sequential bayesian inference for uncertain nonlinear dynamic systems: a tutorial	jsd-sbi
interpreting primal-dual algorithms for constrained multiagent reinforcement learning	multiagent-particle-envs
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
online greedy identification of linear dynamical systems	greedy-identification
computationally-efficient initialisation of gps: the generalised variogram method	generalised-variogram-method
deep statistical solver for distribution system state estimation	deep-statistical-solver-for-distribution-system-state-estimation
quantifying the impact of data characteristics on the transferability of sleep stage scoring models	transferability_sleep
system identification with copula entropy	sysid
robust one-step estimation of impulsive time series	robust-one-step-estimation-of-impulsive-time-series

2023-04-26

paper	code
data-driven modeling of noise time series with convolutional generative adversarial networks	noisegan
multi-stage warm started optimal motion planning for over-actuated mobile platforms	mwmp-matlab
toward integrated sensing and communications in ieee 802.11bf wi-fi networks	sharpax
blockchain based resource governance for decentralized web environments	usagecontrol-decentraltrading

2023-04-25

paper	code
two-step reinforcement learning for model-free redesign of nonlinear optimal regulator	two-step-design
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
model-free learning of optimal two-stage beamformers for passive irs-aided network design	zosga-irs
how to control hydrodynamic force on fluidic pinball via deep reinforcement learning	How-to-Control-Hydrodynamic-Force
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
collie: finding performance anomalies in rdma subsystems	collie
device management and network connectivity as missing elements in tinyml landscape	FogML

2023-04-24

paper	code
smoothed separable nonnegative matrix factorization	smoothed-separable-nmf
transformers in time series: a survey	time-series-transformers-review
icsml: industrial control systems ml framework for native inference using iec 61131-3 code	icsml
optimal robust network design: formulations and algorithms for maximizing algebraic connectivity	laplacianopt.jl
an orchestration framework for open system models of reconfigurable intelligent surfaces	self-configuring-orchestration
on the importance of exploration for real life learned algorithms	on_exploration

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
ai-coherent data-driven forecasting model for a combined cycle power plant	AI-coherent-data-driven-forecasting-model-for-a-combined-cycle-power-plant
robust deep reinforcement learning scheduling via weight anchoring	dl_lottery
fido2 the rescue? platform vs. roaming authentication on smartphones	fido2-the-smartphone
htnet: dynamic wlan performance prediction using heterogenous temporal gnn	htnet
ftmrate: collision-immune distance-based data rate selection for ieee 802.11 networks	ftmrate
learning cellular coverage from real network configurations using gnns	gnn4ndosuppliment

2023-04-20

paper	code
data-efficient deep reinforcement learning for attitude control of fixed-wing uavs: field experiments	rluav
robust semantic communications with masked vq-vae enabled codebook	RobustSemanComm
toward robust manufacturing scheduling: stochastic job-shop scheduling	jobshop.jl
reachlipbnb: a branch-and-bound method for reachability analysis of neural autonomous systems using lipschitz bounds	reachlipbnb
optimizing carbon storage operations for long-term safety	optimizingcarbonstorage
learning resource scheduling with high priority users using deep deterministic policy gradients	resourceallocation
approximate non-linear model predictive control with safety-augmented neural networks	soeampc
patching neural barrier functions using hamilton-jacobi reachability	hj-patch
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
fault detection via occupation kernel principal component analysis	OKPCA
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
optimization of hybrid power plants: when is a detailed electrolyzer model necessary?	detailed-electrolyzer-model
cilp: co-simulation based imitation learner for dynamic resource provisioning in cloud computing environments	cilp
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
remote procedure call as a managed system service	phoenix

2023-04-17

paper	code
network-aware flexibility requests for distribution-level flexibility markets	flexrequest-creation
real-time neural-mpc: deep learning model predictive control for quadrotors and agile robotic platforms	ml-casadi
towards gain tuning for numerical kkl observers	learn_observe_KKL
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
high resolution modeling and analysis of cryptocurrency mining's impact on power grids: carbon footprint, reliability, and electricity price	crypto_mining_impacts
contingency analyses with warm starter using probabilistic graphical model	gridwarm
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
berlin v2x: a machine learning dataset from multiple vehicles and radio access technologies	BerlinV2X

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
learning over all contracting and lipschitz closed-loops for partially-observed nonlinear systems	CDC2023-YoulaREN
neural state-space models: empirical evaluation of uncertainty quantification	sysid-neural-unc
quantum search approaches to sampling-based motion planning	qrrt
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
modeling cell size distribution with heterogeneous flux balance analysis	heterogeneous_fba

2023-04-13

paper	code
olia: an open-source digital lock-in amplifier	olia
online legal driving behavior monitoring for autonomous driving	dotl
compositional neural certificates for networked dynamical systems	neuriss
autorepair: automated repair for ai-enabled cyber-physical systems under safety-critical conditions	autorepair
a persistent-excitation-free method for system disturbance estimation using concurrent learning	code_tcas_2023_zhang
interpreting neural min-sum decoders	nams
edgeds: data spaces enabled multi-access edge computing	edgeds

2023-04-12

paper	code
an offline risk-aware policy selection method for bayesian markov decision processes	evc
model parameter identification via a hyperparameter optimization scheme for autonomous racing systems	mi-hpo
self-stabilization: the implicit bias of gradient descent at the edge of stability	eos
async-hfl: efficient and robust asynchronous federated learning in hierarchical iot networks	async-hfl

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
geometric impedance control on se(3) for robotic manipulators	Geometric-Impedance-Control-Public
uas simulator for modeling, analysis and control in free flight and physical interaction	aircraft-simulator-matlab
lagrangian relaxation for mixed-integer linear programming: importance, challenges, recent advancements, and opportunities	SLBLR
conformal prediction regions for time series using linear complementarity programming	timeparamcpscores
a barrier-lyapunov actor-critic reinforcement learning approach for safe and stable control	a-barrier-lyapunov-actor-critic-reinforcement-learning-approach-for-safe-and-stable-control
marl-idr: multi-agent reinforcement learning for incentive-based residential demand response	marl-idr-multi-agent-reinforcement-learning-for-incentive-based-residential-demand-response
exploring operational flexibility of active distribution networks with low observability	flexibility_under_low_observability
a novel point-based algorithm for multi-agent control using the common information approach	chsvi
eagle: end-to-end deep reinforcement learning based autonomous control of ptz cameras	eagle_ptz_cameras
minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification	Network-Robustness-by-Kolmogorov-Complexity

2023-04-10

paper	code
humanlight: incentivizing ridesharing via human-centric deep reinforcement learning in traffic signal control	humanlight
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
conformal quantitative predictive monitoring of stl requirements for stochastic processes	cqr_quantitative_npm
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
emergent coordination through game-induced nonlinear opinion dynamics	opinion_game
learning stage-wise gans for whistle extraction in time-frequency spectrograms	CompositeGAN_WhistleAugment
unconstrained parametrization of dissipative and contracting neural ordinary differential equations	noderen
graphtune: a learning-based graph generative model with tunable structural features	GraphTune

2023-04-06

paper	code
design and motion planning for a reconfigurable robotic base	swerve_steering
bayesian model selection of lithium-ion battery models via bayesian quadrature	BayesianModelSelection
peak estimation of time delay systems using occupation measures	timedelay
payload grasping and transportation by a quadrotor with a hook-based manipulator	quadcopter_hook_1dof
a semi-supervised adaptive discriminative discretization method improving discrimination power of regularized naive bayes	Semi-supervised-Adaptive-Discriminative-Discretization-for-Naive-Bayes-classifier
active tls stack fingerprinting: characterizing tls server deployments at scale	goscanner
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
learning personalized models with clustered system identification	cluster-sysid
time-space-frequency feature fusion for 3-channel motor imagery classification	tsff
arrhythmia classifier based on ultra-lightweight binary neural network	ecg_bnn_net
async-hfl: efficient and robust asynchronous federated learning in hierarchical iot networks	async-hfl
virtual avatar stream: a cost-down approach to the metaverse experience	virtual-avatar

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
towards dynamic causal discovery with rare events: a nonparametric conditional independence test	l4dc2023-causality
tutorial: circuit-based electromagnetic transient simulation	tutorial-circuit-based-electromagnetic-transient-simulation
guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction	online_cp_urllc
managing cold-start in the serverless cloud with temporal convolutional networks	TCN4CLOUD
deep graph unfolding for beamforming in mu-mimo interference networks	unrolled-wmmse-for-mu-mimo
on the optimal recovery of graph signals	orofgraphsignals
online learning and control for data-augmented quadrotor model	mpc_quad_ros
combinatorial optimization enriched machine learning to solve the dynamic vehicle routing problem with time windows	euro-meets-neurips-2022
integrated decision-making and control for urban autonomous driving with traffic rules compliance	optimization-based-idmc_carla
pronto: preamble overhead reduction with neural networks for coarse synchronization	pronto
multi-layer state evolution under random convolutional design	conv-ml-amp
amgc: adaptive match-based genomic compression algorithm	amgc
quicstep: circumventing quic-based censorship	quicstep

2023-04-03

paper	code
overcoming bias: equivariant filter design for biased attitude estimation with online calibration	abc-eqf
bounded simplex-structured matrix factorization: algorithms, identifiability and applications	bssmf.jl
exact characterization of the convex hulls of reachable sets	convex_hull_reachability
aerostack2: a software framework for developing multi-robot aerial systems	aerostack2
far from asymptopia	atomicpriors.jl

2023-03-31

paper	code
data-driven robust backward reachable sets for set-theoretic model predictive control	data-driven-st-mpc
koopman-hopf hamilton-jacobi reachability and control	hopfreachability
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
a modular platform for collaborative, distributed sensor fusion	demo-platform
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
generative ai-aided optimization for ai-generated content (aigc) services in edge networks	agod

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
model-free learning of optimal beamformers for passive irs-assisted sumrate maximization	zosga-irs
tutorial: circuit-based electromagnetic transient simulation	tutorial-circuit-based-electromagnetic-transient-simulation
low-complexity blind parameter estimation in wireless systems with noisy sparse signals	blind_and_nonparametric_estimators
peak estimation of time delay systems using occupation measures	timedelay
safe and sample-efficient reinforcement learning for clustered dynamic environments	SSA-RL
safe hierarchical navigation in crowded dynamic uncertain environments	H-DAGap
talos: a toolbox for spacecraft conceptual design	talos
dimensionality collapse: optimal measurement selection for low-error infinite-horizon forecasting	naumer_dimensionality_2022.jl
nezha: deployable and high-performance consensus using synchronized clocks	nezha
blockchain based resource governance for decentralized web environments	usagecontrol-decentraltrading

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
towards dynamic causal discovery with rare events: a nonparametric conditional independence test	l4dc2023-causality
ensemble gaussian processes for adaptive autonomous driving on multi-friction surfaces	multisurface-racing

2023-03-24

paper	code
higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes	hoi_shape_sync_differently
physical lidar simulation in real-time engine	Cosys-AirSim
compositions of multiple control barrier functions under input constraints	phd-code
quantifying the safety of trajectories using peak-minimizing control	crash-safety
learning for online mixed-integer model predictive control with parametric optimality certificates	lampos
resilient trajectory tracking to partial loss of control authority over actuators with actuation delay	spacecraft-resilience

2023-03-23

paper	code
sdoanet: an efficient deep learning-based doa estimation network for imperfect array	sdoanet
learning spatio-temporal aggregations for large-scale capacity expansion problems	iccps-2023
robust output-lifted learning model predictive control	rolmpc
data-driven control of positive linear systems using linear programming	data_driven_pos
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
a resource efficient implementation of the restconf protocol for openwrt systems	orc

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
viewpoint-driven formation control of airships for cooperative target tracking	airship-mpc
multi-resolution online deterministic annealing: a hierarchical and progressive learning architecture	onlinedeterministicannealing
learning model-free robust precoding for cooperative multibeam satellite communications	2302_learning_beamforming_code
reducing transmission expansion by co-optimizing sizing of wind, solar, storage and grid connection capacity	genx
lipschitz-bounded 1d convolutional neural networks using the cayley transform and the controllability gramian	1d-lipcnns
local convergence of multi-agent systems towards triangular patterns	swarmsimpublic

2023-03-21

paper	code
system norm regularization methods for koopman operator approximation	pykoop
group-level brain decoding with deep learning	meg-group-decode
a unifying framework for interpolatory $\mathcal{l}_2$-optimal reduced-order modeling	l2-opt-interp-ex
safe exploration method for reinforcement learning under existence of disturbance	safeexploration
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
automatic generation of topology diagrams for strongly-meshed power transmission systems	topogen
quantifying space-time load shifting flexibility in electricity markets	JuliaBox
safety-critical control for systems with impulsive actuators and dwell time constraints	phd-code
neural operators of backstepping controller and observer gain functions for reaction-diffusion pdes	neuraloperatorsforgainkernels
emc2-net: joint equalization and modulation classification based on constellation network	emc2net
global performance guarantees for localized model predictive control	[localizedmpcperformance](