Latest 15 Papers - May 24, 2024

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Time Series

Title	Date	Comment
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints	2024-05-21	publi... published in International Conference on Learning Representation (Spotlight)
Probabilistic Forecasting of Irregular Time Series via Conditional Flows	2024-05-21
Deep LPPLS: Forecasting of temporal critical points in natural, engineering and financial systems	2024-05-21	10 pages, 6 figures
A Global Wavelet Based Bootstrapped Test of Covariance Stationarity	2024-05-21
AutoTherm: A Dataset and Benchmark for Thermal Comfort Estimation Indoors and in Vehicles	2024-05-21
Multimodal video analysis for crowd anomaly detection using open access tourism cameras	2024-05-21
TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information	2024-05-21	11pag... 11pages, 11 figures, 4 tables
Inference on common trends in functional time series	2024-05-21
Boosting X-formers with Structured Matrix for Long Sequence Time Series Forecasting	2024-05-21
TimeGPT-1	2024-05-21
Stochastic Reservoir Computers	2024-05-20	30 pages, 6 figures
Time Series Classification for Detecting Parkinson's Disease from Wrist Motions	2024-05-20	The s... The source code is available under https://github.com/cedricdonie/tsc-for-wrist-motion-pd-detection
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data	2024-05-20	Accep... Accepted at ICLR 2024, Spotlight presentation (Notable Top 5%). https://openreview.net/forum?id=4VIgNuQ1pY
An Active Learning Framework with a Class Balancing Strategy for Time Series Classification	2024-05-20	Maste... Master's thesis accepted by Memorial University of Newfoundland. Chapter 3 published in the Journal of Frontiers in Robotics and AI. Chapter 4 published in the IEEE Systems Conference 2024
PATE: Proximity-Aware Time series anomaly Evaluation	2024-05-20	Accep... Accepted by ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2024), Research Track. (Preprint version)

Trajectory

Title	Date	Comment
PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models	2024-05-21
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security	2024-05-20	10 pa... 10 pages, 5 figures, 1 tables
DREAM: Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments	2024-05-20	20 pa... 20 pages. arXiv admin note: substantial text overlap with arXiv:2302.12873
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?	2024-05-20	20 pages, 8 figures
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving	2024-05-20
Trajectory-Based Individualized Treatment Rules	2024-05-20
Diffusion Models for Generating Ballistic Spacecraft Trajectories	2024-05-20	To be... To be presented at the 2024 Astrodynamics Specialist Conference
AI Algorithm for Predicting and Optimizing Trajectory of UAV Swarm	2024-05-20	24 Pa... 24 Pages, 9 Tables, 6 Figures
Semantic Trajectory Data Mining with LLM-Informed POI Classification	2024-05-20
A Bayesian Nonparametric Approach for Clustering Functional Trajectories over Time	2024-05-18
On the Trajectory Regularity of ODE-based Diffusion Sampling	2024-05-18	ICML 2024, 30 pages
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching	2024-05-18
RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction	2024-05-18	9 pages, 3 figures
Trajectory tracking control of a Remotely Operated Underwater Vehicle based on Fuzzy Disturbance Adaptation and Controller Parameter Optimization	2024-05-16
A Design Trajectory Map of Human-AI Collaborative Reinforcement Learning Systems: Survey and Taxonomy	2024-05-16

Graph Neural Networks

Title	Date	Comment
Verifying message-passing neural networks via topology-based bounds tightening	2024-05-21
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics	2024-05-21	The p... The paper has been published to the conference of NeurIPS 2023
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks	2024-05-21
Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation	2024-05-21	9 pages, 3 figures
Disentangling the Potential Impacts of Papers into Diffusion, Conformity, and Contribution Values	2024-05-21	Updat... Update and correct some references. This paper is still in progress
Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks	2024-05-21
Unleash Graph Neural Networks from Heavy Tuning	2024-05-21
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation	2024-05-21	arXiv... arXiv admin note: text overlap with arXiv:2405.08419
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing	2024-05-21	arXiv... arXiv admin note: substantial text overlap with arXiv:2311.18177
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach	2024-05-21
Prompt-Enhanced Spatio-Temporal Graph Transfer Learning	2024-05-21
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks	2024-05-20	arXiv... arXiv admin note: text overlap with arXiv:2112.08331 by other authors
Conditional Shift-Robust Conformal Prediction for Graph Neural Network	2024-05-20	11 pages, 4 figures
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation	2024-05-20	arXiv... arXiv admin note: substantial text overlap with arXiv:2312.11229
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering	2024-05-20