Latest 15 Papers - July 29, 2024

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Time Series

Title	Date	Comment
Can time series forecasting be automated? A benchmark and analysis	2024-07-25
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis	2024-07-25	Accep... Accepted at the IEEE International Conference on Quantum Computing and Engineering (QCE)
Predicting COVID-19 hospitalisation using a mixture of Bayesian predictive syntheses	2024-07-25
Scalable Bayesian inference for time series via divide-and-conquer	2024-07-25
Targeted stochastic gradient Markov chain Monte Carlo for hidden Markov models with rare latent states	2024-07-25
DAM: Towards A Foundation Model for Time Series Forecasting	2024-07-25
EEG-SSM: Leveraging State-Space Model for Dementia Detection	2024-07-25
High Significant Fault Detection in Azure Core Workload Insights	2024-07-25	Publi... Published in IAAI 2024, which is the Industrial track of AAAI 2024
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide	2024-07-25	To ap... To appear in KDD 2024 (survey paper). The typo in Equation (5) has been fixed
Predicting the structure of dynamic graphs	2024-07-25
Causal estimands and identification of time-varying effects in non-stationary time series from N-of-1 mobile device data	2024-07-24
POCKET: Pruning Random Convolution Kernels for Time Series Classification from a Feature Selection Perspective	2024-07-24
Periodicity significance testing with null-signal templates: reassessment of PTF's SMBH binary candidates	2024-07-24	13 pages, 12 figures
EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification	2024-07-24	5 pages, 5 figures
Channel-Aware Low-Rank Adaptation in Time Series Forecasting	2024-07-24	Accep... Accepted by CIKM 2024, short research paper track

Trajectory

Title	Date	Comment
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition	2024-07-25	ECCV 2024
Trajectory Planning Using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing Scenarios	2024-07-25	8 pag... 8 pages, accepted to be published at the 27th IEEE International Conference on Intelligent Transportation Systems, September 24 - 27, 2024, Edmonton, Canada
Sampling-Based Hierarchical Trajectory Planning for Formation Flight	2024-07-24
Exploring Commercial Vehicle Detouring Patterns through the Application of Probe Trajectory Data	2024-07-24	Prese... Presented at Transportation Research Board Annual Meeting 2024. Presentation number: TRBAM-24-02157
TLControl: Trajectory and Language Control for Human Motion Synthesis	2024-07-24
Reacting on human stubbornness in human-machine trajectory planning	2024-07-24
Context-aware Multi-task Learning for Pedestrian Intent and Trajectory Prediction	2024-07-24
An open-source framework for data-driven trajectory extraction from AIS data -- the $α$-method	2024-07-24
Simultaneous Trajectory Optimization and Contact Selection for Contact-rich Manipulation with High-Fidelity Geometry	2024-07-24	arXiv... arXiv admin note: text overlap with arXiv:2306.06465
Synthetic Trajectory Generation Through Convolutional Neural Networks	2024-07-24	To ap... To appear in the proceedings of the 21st Annual International Conference on Privacy, Security & Trust (PST 2024)
Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation	2024-07-24	18 pages, 8 figures
MapsTP: HD Map Images Based Multimodal Trajectory Prediction for Automated Vehicles	2024-07-23
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning	2024-07-23
Constrained Stein Variational Trajectory Optimization	2024-07-23	18 pa... 18 pages, 10 figures, 3 tables
Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories	2024-07-22

Graph Neural Networks

Title	Date	Comment
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction	2024-07-25
Gene Regulatory Network Inference from Pre-trained Single-Cell Transcriptomics Transformer with Joint Graph Learning	2024-07-25	Accep... Accepted into the ICML 2024 AI for Science workshop
RIDA: A Robust Attack Framework on Incomplete Graphs	2024-07-25
Expressivity and Generalization: Fragment-Biases for Molecular GNNs	2024-07-25
Personalized and Context-aware Route Planning for Edge-assisted Vehicles	2024-07-25
Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things	2024-07-25	14 pa... 14 pages, 10 figures. Accepted to IEEE Internet of Things Journal
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network	2024-07-25	ECCV 2024
SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks	2024-07-25	Accep... Accepted as a conference paper at ICDE 2024
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning	2024-07-25
Context-aware knowledge graph framework for traffic speed forecasting using graph neural network	2024-07-25	13 pages, 4 figures
Generating Explanations for Cellular Neural Networks	2024-07-24
Systematic Reasoning About Relational Domains With Graph Neural Networks	2024-07-24	10+16... 10+16 pages, 2+7 figures, 4+9 tables. Preprint under review. Comments welcome
Global and Local Confidence Based Fraud Detection Graph Neural Network	2024-07-24
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs	2024-07-24	10 pages
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification?	2024-07-24	Accep... Accepted at MICCAI 2024 - GRAIL Workshop