Latest 15 Papers - July 30, 2024

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Time Series

Title	Date	Comment
Metadata-enhanced contrastive learning from retinal optical coherence tomography images	2024-07-26
Deep learning for predicting the occurrence of tipping points	2024-07-26
Contrastive Learning of Asset Embeddings from Financial Time Series	2024-07-26	9 pag... 9 pages, 4 figures, 4 tables
TCGPN: Temporal-Correlation Graph Pre-trained Network for Stock Forecasting	2024-07-26
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection	2024-07-26	20 pa... 20 pages, 4 figures, 7 tables, The 26th International Conference on Information and Communications Security, 26-28 August, 2024, Mytilene, Lesvos, Greece (ICICS2024)
The seismic purifier: An unsupervised approach to seismic signal detection via representation learning	2024-07-25	Submi... Submitted to IEEE-TGRS
Group integrative dynamic factor models with application to multiple subject brain connectivity	2024-07-25
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

Trajectory

Title	Date	Comment
Evaluating Human Trajectory Prediction with Metamorphic Testing	2024-07-26	MET'2... MET'24: 9th ACM International Workshop on Metamorphic Testing
Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network	2024-07-26
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

Graph Neural Networks

Title	Date	Comment
Enhancing material property prediction with ensemble deep graph convolutional networks	2024-07-26	9 pag... 9 pages, 6 figures, 2 tables
Robust Learning in Bayesian Parallel Branching Graph Neural Networks: The Narrow Width Limit	2024-07-26
Learning production functions for supply chains with graph neural networks	2024-07-26
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning	2024-07-26	accepted at ISWC'24
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics	2024-07-26	This ... This paper extends our previous conference paper (Best Paper at European Conference of the PHM Society 2024, https://doi.org/10.36001/phme.2024.v8i1.3998)
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning	2024-07-26	11 pages, 3 figures
TCGPN: Temporal-Correlation Graph Pre-trained Network for Stock Forecasting	2024-07-26
Scalable Graph Compressed Convolutions	2024-07-26
Multi-turn Response Selection with Commonsense-enhanced Language Models	2024-07-26
Fast System Technology Co-Optimization Framework for Emerging Technology Based on Graph Neural Networks	2024-07-26	We fo... We found some errors in Figure.3 ,and we need some time to reconduct experiments. Therefore, we want to withdrawal our article now
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