Latest 15 Papers - October 28, 2024

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Time Series

Title	Date	Comment
Context is Key: A Benchmark for Forecasting with Essential Textual Information	2024-10-24	Prepr... Preprint; under review. First two authors contributed equally
Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics	2024-10-24	PREPR... PREPRINT of paper to appear at 2024 Conference of PHM Society
Limit Theorems for the Symbolic Correlation Integral and the Renyi-2 Entropy under Short-range Dependence	2024-10-24	36 pa... 36 pages, 1 figure, 3 tables
Retrieval-Augmented Diffusion Models for Time Series Forecasting	2024-10-24	NeurIPS 2024
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification	2024-10-24
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting	2024-10-24	Accep... Accepted by ICONIP 2024
Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images	2024-10-24	17 pages
Inferring Latent Graphs from Stationary Signals Using a Graphical Autoregressive Model	2024-10-24
Forecasting Australian fertility by age, region, and birthplace	2024-10-24	34 pa... 34 pages, 6 figures, 3 tables
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables	2024-10-24
FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling	2024-10-24
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting	2024-10-24
Optical next generation reservoir computing	2024-10-24
Boosting X-formers with Structured Matrix for Long Sequence Time Series Forecasting	2024-10-24
Self-Supervised Learning for Time Series: A Review & Critique of FITS	2024-10-23	arXiv... arXiv:2307.03756v3 45 pages, 36 figures

Trajectory

Title	Date	Comment
Continuous Dynamic Modeling via Neural ODEs for Popularity Trajectory Prediction	2024-10-24
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning	2024-10-24
DMTG: A Human-Like Mouse Trajectory Generation Bot Based on Entropy-Controlled Diffusion Networks	2024-10-23
Trajectory Optimization for Spatial Microstructure Control in Electron Beam Metal Additive Manufacturing	2024-10-23	6 pages, 6 figures
LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization	2024-10-23
FreeVS: Generative View Synthesis on Free Driving Trajectory	2024-10-23	Proje... Project Page: https://freevs24.github.io/
Enhancing Interaction Modeling with Agent Selection and Physical Coefficient for Trajectory Prediction	2024-10-23	code:... code:https://github.com/kkk00714/ASPILin
TranSPORTmer: A Holistic Approach to Trajectory Understanding in Multi-Agent Sports	2024-10-23	Accep... Accepted to ACCV 2024
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting	2024-10-23	ackno... acknowledgement added
Composing Diffusion Policies for Few-shot Learning of Movement Trajectories	2024-10-22	6(+1)... 6(+1) pages, 6 figures
EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting	2024-10-22	Proje... Project Page: https://lbh666.github.io/ef-3dgs/
PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner	2024-10-22	7 pages, 3 figures
Cooperative Trajectory Planning: Principles for Human-Machine System Design on Trajectory Level	2024-10-22
Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach	2024-10-22
Influential Language Data Selection via Gradient Trajectory Pursuit	2024-10-22

Graph Neural Networks

Title	Date	Comment
Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling	2024-10-24	Proje... Project Page: https://gs-dynamics.github.io
Neural incomplete factorization: learning preconditioners for the conjugate gradient method	2024-10-24	26 pa... 26 pages, 8 figures, accepted in Transactions on Machine Learning Research (TMLR)
Leveraging Graph Neural Networks and Multi-Agent Reinforcement Learning for Inventory Control in Supply Chains	2024-10-24
Binary Code Similarity Detection via Graph Contrastive Learning on Intermediate Representations	2024-10-24	13 pages, 10 figures
Graph Pre-Training Models Are Strong Anomaly Detectors	2024-10-24
Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models	2024-10-24
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks	2024-10-24	Accep... Accepted by NeurIPS 2024
PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures	2024-10-24
Efficient End-to-end Language Model Fine-tuning on Graphs	2024-10-23
GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration	2024-10-23
MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction	2024-10-23
Spiking Graph Neural Network on Riemannian Manifolds	2024-10-23	Accep... Accepted by NeurIPS 2024, 30 pages
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation	2024-10-23	Accep... Accepted by CIKM'2024. Fixed typos
Binarized Simplicial Convolutional Neural Networks	2024-10-23
Exploring structure diversity in atomic resolution microscopy with graph neural networks	2024-10-23