Latest 15 Papers - October 24, 2024

[github-actions[bot]]

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

Time Series

Title	Date	Comment
Neuroevolution Neural Architecture Search for Evolving RNNs in Stock Return Prediction and Portfolio Trading	2024-10-22
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting	2024-10-22
Polyspectral Mean Estimation of General Nonlinear Processes	2024-10-22
Evaluation of a Data Annotation Platform for Large, Time-Series Datasets in Intensive Care: Mixed Methods Study	2024-10-22
ExDBN: Exact learning of Dynamic Bayesian Networks	2024-10-22	12 pages
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories	2024-10-22
Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning	2024-10-22	16 pages
Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation	2024-10-22
FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling	2024-10-22
Governing equation discovery of a complex system from snapshots	2024-10-22
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification	2024-10-22	20 pa... 20 pages, 8 figures, 2 tables
Are uGLAD? Time will tell!	2024-10-22
Bias correction of quadratic spectral estimators	2024-10-22	Submi... Submitted to Biometrika, Miscelanea
Optimal Change-point Testing for High-dimensional Linear Models with Temporal Dependence	2024-10-22
QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding	2024-10-21	18 pages, 3 figures

Trajectory

Title	Date	Comment
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
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning	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-Structured Trajectory Extraction from Travelogues	2024-10-22
Incorporating Navigation Context into Inland Vessel Trajectory Prediction: A Gaussian Mixture Model and Transformer Approach	2024-10-21
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

Graph Neural Networks

Title	Date	Comment
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance	2024-10-22	accep... accepted as a poster at NeurIPS 2024
Learning Load Balancing with GNN in MPTCP-Enabled Heterogeneous Networks	2024-10-22
Temporal Graph Rewiring with Expander Graphs	2024-10-22	14 pages, 2 figures
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance	2024-10-22
Higher-Order Message Passing for Glycan Representation Learning	2024-10-22	Accep... Accepted to MLSB Workshop at NeurIPS 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models	2024-10-22
Dynamic graph neural networks for enhanced volatility prediction in financial markets	2024-10-22
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification	2024-10-22	NeurI... NeurIPS24; The first two authors contributed equally to this work
Can Large Language Models Act as Ensembler for Multi-GNNs?	2024-10-22
Towards Fair Graph Representation Learning in Social Networks	2024-10-22
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation	2024-10-22	IEEE TPAMI
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs	2024-10-22
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