zezhishao / DailyArXiv

Daily ArXiv Papers.
38 stars 4 forks source link

Latest 15 Papers - August 13, 2024 #131

Open github-actions[bot] opened 3 months ago

github-actions[bot] commented 3 months ago

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

Time Series

Title Date Comment
AI-driven Java Performance Testing: Balancing Result Quality with Testing Time 2024-08-09
Accep...

Accepted for publication in The 39th IEEE/ACM International Conference on Automated Software Engineering (ASE '24)

Functional Sieve Bootstrap for the Partial Sum Process with Application to Change-Point Detection without Dimension Reduction 2024-08-09
Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon 2024-08-09
Time-Series Foundation Models for Forecasting Soil Moisture Levels in Smart Agriculture 2024-08-09
7 pag...

7 pages, accepted at KDD '24 - Fragile Earth Workshop https://openreview.net/forum?id=GZBGhi4JfE

Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions 2024-08-09
Submi...

Submitted to Engineering Applications of Artificial Intelligence journal

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection 2024-08-09
37 pa...

37 pages, 6 figures, 7 tables; Project page: https://github.com/KimMeen/Awesome-GNN4TS

An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting 2024-08-09
Motion-based visual encoding can improve performance on perceptual tasks with dynamic time series 2024-08-09
Accep...

Accepted by IEEE VIS 2024

Reduced-order modeling of unsteady fluid flow using neural network ensembles 2024-08-08
Updat...

Updated with revisions

Risk and cross validation in ridge regression with correlated samples 2024-08-08 44 pages, 18 figures
Exploring Scalability in Large-Scale Time Series in DeepVATS framework 2024-08-08
Admit...

Admitted pending publication in Lecture Notes in Network and Systems (LNNS) series (Springer). Code available at https://github.com/vrodriguezf/deepvats

DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions 2024-08-08 Updated version
Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis 2024-08-08
Accep...

Accepted at Machine Learning for Healthcare 2024. arXiv admin note: substantial text overlap with arXiv:2311.08149

Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection 2024-08-08
ICML ...

ICML 2024 AI for Science Workshop

Event-Based Contrastive Learning for Medical Time Series 2024-08-08
Accep...

Accepted at Unifying Representations in Neural Models Workshop in NeurIPS 2023, MLHC 2024

Trajectory

Title Date Comment
Optimal Distributed Multi-Robot Communication-Aware Trajectory Planning using Alternating Direction Method of Multipliers 2024-08-09
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories 2024-08-09
PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba 2024-08-09
Simulating Articulatory Trajectories with Phonological Feature Interpolation 2024-08-08
accep...

accepted at Interspeech 2024

Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis 2024-08-08
Accep...

Accepted at Machine Learning for Healthcare 2024. arXiv admin note: substantial text overlap with arXiv:2311.08149

Grasping Trajectory Optimization with Point Clouds 2024-08-07
Publi...

Published in IROS 2024

UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction 2024-08-07
Accep...

Accepted in ECCV 2024

Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows 2024-08-07
Accep...

Accepted to be published as part of the 2024 IEEE Intelligent Vehicles Symposium (IV), Jeju Shinhwa World, Jeju Island, Korea, June 2-5, 2024

TGS: Trajectory Generation and Selection using Vision Language Models in Mapless Outdoor Environments 2024-08-07
Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization 2024-08-07
Accep...

Accepted by ECCV 2024

Transfer Learning Study of Motion Transformer-based Trajectory Predictions 2024-08-07
Publi...

Published in 2024 IEEE Intelligent Vehicles Symposium (IV), Jeju Shinhwa World, Jeju Island, Korea, June 2-5, 2024

EgoNav: Egocentric Scene-aware Human Trajectory Prediction 2024-08-07 13 pages, 9 figures
Stochastic Trajectory Optimization for Demonstration Imitation 2024-08-07
Adaptive-Sliding Mode Trajectory Control of Robot Manipulators with Uncertainties 2024-08-06
A Holistic Optimization Framework for Energy Efficient UAV-assisted Fog Computing: Attitude Control, Trajectory Planning and Task Assignment 2024-08-05 14 pages, 10 figures

Graph Neural Networks

Title Date Comment
Decoding Quantum LDPC Codes Using Graph Neural Networks 2024-08-09
Accep...

Accepted for GLOBECOM 2024

Federated Hypergraph Learning with Hyperedge Completion 2024-08-09
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions 2024-08-09 26 pages, 7 figures
Graph Neural Networks as Ordering Heuristics for Parallel Graph Coloring 2024-08-09
A GNN Model with Adaptive Weights for Session-Based Recommendation Systems 2024-08-09
7 pag...

7 pages, 7 tables, 2 figures, and 3 equations

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection 2024-08-09
37 pa...

37 pages, 6 figures, 7 tables; Project page: https://github.com/KimMeen/Awesome-GNN4TS

Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks 2024-08-09
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure 2024-08-09
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation 2024-08-09
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks 2024-08-09
8 pag...

8 pages, 5 figures, 2 tables

Advancing Molecular Machine (Learned) Representations with Stereoelectronics-Infused Molecular Graphs 2024-08-08 23 pages, 6 figures
Understanding and Modeling Job Marketplace with Pretrained Language Models 2024-08-08
accep...

accepted by CIKM'24 applied research track

Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis 2024-08-08 manuscript updated
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks 2024-08-08
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech 2024-08-08 Preprint, 32 pages