Latest 15 Papers - June 24, 2024

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Time Series

Title	Date	Comment
Capturing Temporal Components for Time Series Classification	2024-06-20	15 pa... 15 pages, 2 figures, 4 tables
WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark	2024-06-20	26 pages,13 figures
Diffusion model for relational inference	2024-06-20
aeon: a Python toolkit for learning from time series	2024-06-20	10 pages
Predicting Progression Events in Multiple Myeloma from Routine Blood Work	2024-06-20	18 pa... 18 pages, 8 figures, 4, tables
An agent-based model of behaviour change calibrated to reversal learning data	2024-06-20	23 pages, 5 figures
Understanding Different Design Choices in Training Large Time Series Models	2024-06-20
Prediction of Unobserved Bifurcation by Unsupervised Extraction of Slowly Time-Varying System Parameter Dynamics from Time Series Using Reservoir Computing	2024-06-20	17 pages, 7 figures
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective	2024-06-20	arXiv... arXiv admin note: text overlap with arXiv:nlin/0307015 by other authors
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler	2024-06-19	8 pages
A Primal-Dual Framework for Transformers and Neural Networks	2024-06-19	Accep... Accepted to ICLR 2023, 26 pages, 4 figures, 14 tables
Benchmarking Unsupervised Online IDS for Masquerade Attacks in CAN	2024-06-19	15 pa... 15 pages, 9 figures, 3 tables
Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models	2024-06-19	6 pages, 2 figures
Multivariate Bayesian dynamic modeling for causal prediction	2024-06-19
Variational Schrödinger Diffusion Models	2024-06-19	ICML 2024

Trajectory

Title	Date	Comment
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding	2024-06-20	10 pages
Identifying User Goals from UI Trajectories	2024-06-20
GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments	2024-06-20
Language-Driven Closed-Loop Grasping with Model-Predictive Trajectory Replanning	2024-06-19	9 pages, 6 figures
Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants	2024-06-19
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following	2024-06-19	48 pages, 21 figures
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)

Graph Neural Networks

Title	Date	Comment
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease	2024-06-20	Submi... Submitted to Machine Learning in Computational Biology 2024 as an extended abstract, 2 pages + 1 appendix
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions	2024-06-20
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks	2024-06-20	Accep... Accepted at ICML 2024
Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks	2024-06-20
Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations	2024-06-20	Accep... Accepted as a workshop paper in AI4Science@ICML 2024
Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs	2024-06-20
Graph Neural Networks for Job Shop Scheduling Problems: A Survey	2024-06-20
HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment	2024-06-20	Preli... Preliminary version of an ongoing project: https://higraphllm.github.io/
Reducing Memory Contention and I/O Congestion for Disk-based GNN Training	2024-06-20	This ... This is a full version for the paper with almost the same title accepted by the 53rd International Conference on Parallel Processing (ICPP 2024)
Explainable AI Security: Exploring Robustness of Graph Neural Networks to Adversarial Attacks	2024-06-20
A Pure Transformer Pretraining Framework on Text-attributed Graphs	2024-06-19
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning	2024-06-19	Accepted by KDD 2024
Evaluating representation learning on the protein structure universe	2024-06-19	ICLR 2024
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference	2024-06-19
Root Cause Localization for Microservice Systems in Cloud-edge Collaborative Environments	2024-06-19