Latest 15 Papers - June 21, 2024

[github-actions]

Please check the Github page for a better reading experience and more papers.

Time Series

Title	Date	Comment
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting	2024-06-18	The c... The code is available at https://github.com/ClaudiaShu/DeformTime
Detecting Outbreaks Using a Latent Field: Part I -- Spatial Modeling	2024-06-18	26 pages
Bayesian Consistency for Long Memory Processes: A Semiparametric Perspective	2024-06-18
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference	2024-06-18	Code:... Code: https://github.com/vivekmyers/contrastive_planning
TSI-Bench: Benchmarking Time Series Imputation	2024-06-18
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges	2024-06-18
Large Language Models Are Zero-Shot Time Series Forecasters	2024-06-18	NeurI... NeurIPS 2023. Code available at: https://github.com/ngruver/llmtime
Generalization bounds for mixing processes via delayed online-to-PAC conversions	2024-06-18
Supervised Autoencoder MLP for Financial Time Series Forecasting	2024-06-18	29 pa... 29 pages, 28 figures, 17 tables
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification	2024-06-18
Frequency-Domain Data-Driven Predictive Control	2024-06-18
Tracking Real-time Anomalies in Cyber-Physical Systems Through Dynamic Behavioral Analysis	2024-06-18	10 pa... 10 pages, 11 figures, 4 tables
Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models	2024-06-18
Foundation Models for Time Series Analysis: A Tutorial and Survey	2024-06-18	In Pr... In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'24)
Spatial-Temporal Large Language Model for Traffic Prediction	2024-06-18	Accep... Accepted by MDM 2024 (Research Track)

Trajectory

Title	Date	Comment
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs	2024-06-18
Language Models as Zero-Shot Trajectory Generators	2024-06-17	Publi... Published in IEEE Robotics and Automation Letters (Volume: 9, Issue: 7, July 2024, Pages: 6728-6735); 10 pages, 12 figures
Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift	2024-06-17	9 pages, 2 figures
Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction	2024-06-17
Koopmon trajectories in nonadiabatic quantum-classical dynamics	2024-06-17	Secon... Second version. 40 pages, 15 figures
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving	2024-06-17	In Pr... In Proceedings of the 33rd USENIX Security Symposium 2024
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making	2024-06-17	Publi... Published at 3rd Conference on Lifelong Learning Agents (CoLLAs), 2024
Fundamental dynamics of popularity-similarity trajectories in real networks	2024-06-17
IKLink: End-Effector Trajectory Tracking with Minimal Reconfigurations	2024-06-17	Accep... Accepted as a contributed paper at the 2024 IEEE International Conference on Robotics and Automation (ICRA)
Provably Feasible and Stable White-Box Trajectory Optimization	2024-06-14
CycleTrajectory: An End-to-End Pipeline for Enriching and Analyzing GPS Trajectories to Understand Cycling Behavior and Environment	2024-06-14	6 pag... 6 pages, 3 figures, conference
PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner	2024-06-14	6 pages, 3 figures
Language-Driven Closed-Loop Grasping with Model-Predictive Trajectory Replanning	2024-06-14	9 pages, 6 figures
MINER-RRT*: A Hierarchical and Fast Trajectory Planning Framework in 3D Cluttered Environments	2024-06-14
DeltaPhi: Learning Physical Trajectory Residual for PDE Solving	2024-06-14

Graph Neural Networks

Title	Date	Comment
Demystifying Higher-Order Graph Neural Networks	2024-06-18
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions	2024-06-18
Structure-Aware Code Vulnerability Analysis With Graph Neural Networks	2024-06-18
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction	2024-06-18
Research and Implementation of Data Enhancement Techniques for Graph Neural Networks	2024-06-18	7 pag... 7 pages, 7 figures, to be published in IEEE International Conference on Artificial Intelligence and Electromechanical Automation
Bridging Local Details and Global Context in Text-Attributed Graphs	2024-06-18
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens	2024-06-18	17 pa... 17 pages, 2 figures, not published nor submitted yet
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching	2024-06-18	Lossl... Lossless graph condensation method
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs	2024-06-18	KDD 2024
A data-centric approach for assessing progress of Graph Neural Networks	2024-06-18
Federated Learning with Limited Node Labels	2024-06-18
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data	2024-06-18	18 pa... 18 pages, 4 figures, 5 tables
How Graph Neural Networks Learn: Lessons from Training Dynamics	2024-06-18	Accep... Accepted to ICML 2024
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting	2024-06-18	Accep... Accepted at ICDE 2024
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark	2024-06-18	KDD ADS 2024