Latest 15 Papers - July 23, 2024

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Time Series

Title	Date	Comment
Nonlinear Schrödinger Network	2024-07-19
Time series on compact spaces, with an application to dynamic modeling of relative abundance data in Ecology	2024-07-19
Wildfire Risk Prediction: A Review	2024-07-19
tidychangepoint: a unified framework for analyzing changepoint detection in univariate time series	2024-07-19
Bayesian Inference for High-dimensional Time Series by Latent Process Modeling	2024-07-19
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference	2024-07-19
Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics	2024-07-19	19 pa... 19 pages, 15 figures, submitted to Elsevier
Time Series Generative Learning with Application to Brain Imaging Analysis	2024-07-19	45 pages
Omni-Dimensional Frequency Learner for General Time Series Analysis	2024-07-19
Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization	2024-07-18
SignSpeak: Open-Source Time Series Classification for ASL Translation	2024-07-18	6 pag... 6 pages, 2 figures, NeurIPS
Scalable Spatiotemporal Prediction with Bayesian Neural Fields	2024-07-18	27 pa... 27 pages, 7 figures, 3 tables, 2 listings
Exploring Facial Biomarkers for Depression through Temporal Analysis of Action Units	2024-07-18
Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management	2024-07-18
Tensor Factor Model Estimation by Iterative Projection	2024-07-18

Trajectory

Title	Date	Comment
Dataset Distillation by Automatic Training Trajectories	2024-07-19	The p... The paper is accepted at ECCV 2024
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation	2024-07-19
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios	2024-07-18
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations	2024-07-18
Exploring Robot Trajectory Planning -- A Comparative Analysis of Algorithms And Software Implementations in Dynamic Environments	2024-07-18
Deterministic Trajectory Optimization through Probabilistic Optimal Control	2024-07-18
Trajectory Planning Using Tire Thermodynamics for Automated Drifting	2024-07-17	This ... This manuscript was accepted from IEEE Intelligent Vehicle Symposium (IV 2024) and will be published late August
Forward Invariance in Trajectory Spaces for Safety-critical Control	2024-07-17	8 pages, 4 figures
UniTE: A Survey and Unified Pipeline for Pre-training ST Trajectory Embeddings	2024-07-17
VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions	2024-07-17	Accep... Accepted at ECCV 2024
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles	2024-07-17
Trajectory and Power Optimization for Multi-UAV Enabled Emergency Wireless Communications Networks	2024-07-16	6 pages, 3 figures
Progressive Pretext Task Learning for Human Trajectory Prediction	2024-07-16	Accep... Accepted to ECCV 2024
SciConNav: Knowledge navigation through contextual learning of extensive scientific research trajectories	2024-07-16	21pag... 21pages, 13 figures, 6 tables
PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation	2024-07-16

Graph Neural Networks

Title	Date	Comment
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer	2024-07-19	ACM SIGKDD 2024
L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering	2024-07-19
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics	2024-07-19
SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification	2024-07-19	Accep... Accepted for MICCAI 2024
Enhancing Data-Limited Graph Neural Networks by Actively Distilling Knowledge from Large Language Models	2024-07-19	10 pages, 3 Figures
EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction	2024-07-18	7 pages, 5 figures
Conformalized Link Prediction on Graph Neural Networks	2024-07-18
Improving Malware Detection with Adversarial Domain Adaptation and Control Flow Graphs	2024-07-18
E(n) Equivariant Topological Neural Networks	2024-07-18	36 pa... 36 pages, 11 figures, 9 tables
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks	2024-07-18
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation	2024-07-18	18 pa... 18 pages, 7 figures, CIKM 2024
Performance Comparison of Session-based Recommendation Algorithms based on GNNs	2024-07-18	Accep... Accepted at ECIR 2024
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective	2024-07-18
Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction	2024-07-18	14 pa... 14 pages, ICML Conference Workshop 2024. arXiv admin note: text overlap with arXiv:2402.18610
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline	2024-07-18