Latest 15 Papers - October 23, 2024

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Time Series

Title	Date	Comment
ExDBN: Exact learning of Dynamic Bayesian Networks	2024-10-21	12 pages
Dynamic Time Warping-based imputation of long gaps in human mobility trajectories	2024-10-21	28 pages, 8 figures
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis	2024-10-21
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast	2024-10-21
State Estimation Using Sparse DEIM and Recurrent Neural Networks	2024-10-21
TS-ACL: A Time Series Analytic Continual Learning Framework for Privacy-Preserving and Class-Incremental Pattern Recognition	2024-10-21	11 pa... 11 pages, 3 figures, 2 tables
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons	2024-10-21	NeurI... NeurIPS 2024 Datasets and Benchmarks Track
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration	2024-10-21	Accep... Accepted at the NeurIPS 2024 workshop Time Series in the Age of Large Models. Code available at https://github.com/Cing2/LiMTR
A Unified Approach to Extract Interpretable Rules from Tree Ensembles via Integer Programming	2024-10-21	- Fix... - Fixed several typos - Related work have been expanded - Discussion of computational results has been improved for clearness
Nonparametric method of structural break detection in stochastic time series regression model	2024-10-21
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting	2024-10-21
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series	2024-10-21	This ... This submission has been withdrawn to avoid duplication with a full version of the paper that is already available in another arXiv entry (arXiv:2410.12606). The withdrawn version was a short format prepared for a NeurIPS workshop and is no longer necessary as a separate arXiv submission
Diffusion-TS: Interpretable Diffusion for General Time Series Generation	2024-10-21
XForecast: Evaluating Natural Language Explanations for Time Series Forecasting	2024-10-21
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer	2024-10-21	ICPR 2024

Trajectory

Title	Date	Comment
Dynamic Time Warping-based imputation of long gaps in human mobility trajectories	2024-10-21	28 pages, 8 figures
Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models	2024-10-21	8 pages,6 figures
FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL	2024-10-21	NeurI... NeurIPS '24 Open-World Agents Workshop
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally From An Ongoing Trajectory	2024-10-21
Reinforced Imitative Trajectory Planning for Urban Automated Driving	2024-10-21	19 pages, 9 figures
Deep Active Learning with Manifold-preserving Trajectory Sampling	2024-10-21
DTG : Diffusion-based Trajectory Generation for Mapless Global Navigation	2024-10-20	10 pages
Rapid and Robust Trajectory Optimization for Humanoids	2024-10-20
A Semi-decentralized and Variational-Equilibrium-Based Trajectory Planner for Connected and Autonomous Vehicles	2024-10-20
EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting	2024-10-20	Proje... Project Page: https://lbh666.github.io/ef-3dgs/
EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications	2024-10-19
ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life	2024-10-19	GeoAn... GeoAnomalies Workshop @ ACM Sigspatial 2024
TR-LLM: Integrating Trajectory Data for Scene-Aware LLM-Based Human Action Prediction	2024-10-18
SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity	2024-10-18
DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Optimizing Resource Allocation	2024-10-18

Graph Neural Networks

Title	Date	Comment
Theoretical Insights into Line Graph Transformation on Graph Learning	2024-10-21	21 pa... 21 pages, code available at https://github.com/lukeyf/graphs-and-lines
Exploring the Potential of Large Language Models for Heterophilic Graphs	2024-10-21	Under review
Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning	2024-10-21	submi... submitted for a journal publication
Collaborative Goal Tracking of Multiple Mobile Robots Based on Geometric Graph Neural Network	2024-10-21
Resilient Temporal GCN for Smart Grid State Estimation Under Topology Inaccuracies	2024-10-21	9 pages, 5 figures
Bimanual Deformable Bag Manipulation Using a Structure-of-Interest Based Neural Dynamics Model	2024-10-21
Focus Where It Matters: Graph Selective State Focused Attention Networks	2024-10-21
Deep Graph Attention Networks	2024-10-21	8 pages, 6 figures
Learning Personalized Scoping for Graph Neural Networks under Heterophily	2024-10-21
Pay Attention to Weak Ties: A Heterogeneous Multiplex Representation Learning Framework for Link Prediction	2024-10-21	We ne... We need to update some comparison experiments
TrojanForge: Generating Adversarial Hardware Trojan Examples with Reinforcement Learning	2024-10-21
Gradient Rewiring for Editable Graph Neural Network Training	2024-10-21	NeurIPS 2024
Behavior-Inspired Neural Networks for Relational Inference	2024-10-21
Tensor-Fused Multi-View Graph Contrastive Learning	2024-10-20
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks	2024-10-20	arXiv... arXiv admin note: text overlap with arXiv:2401.12007