Latest 15 Papers - August 09, 2024

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Time Series

Title	Date	Comment
Open-Set Multivariate Time-Series Anomaly Detection	2024-08-07	Accep... Accepted to ECAI-2024
Inter-Series Transformer: Attending to Products in Time Series Forecasting	2024-08-07
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting	2024-08-07
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions	2024-08-07	Submi... Submitted to Engineering Applications of Artificial Intelligence journal
Parameter estimation for the generalized extreme value distribution: a method that combines bootstrapping and r largest order statistics	2024-08-07	16 pages, 6 figures
Change-Point Analysis of Time Series with Evolutionary Spectra	2024-08-07
Granger Causality using Neural Networks	2024-08-07	To be... To be Submitted to a Journal work Presented at JSM. arXiv admin note: text overlap with arXiv:1802.05842 by other authors
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models	2024-08-07	Accep... Accepted to CIKM 2024 (10 pages, 4 figures, 6 tables)
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification	2024-08-07	7 pages, 4 figures
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks	2024-08-07
Gaussian Approximation For Non-stationary Time Series with Optimal Rate and Explicit Construction	2024-08-07
Can LLMs Serve As Time Series Anomaly Detectors?	2024-08-06
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting	2024-08-06
Spacecraft inertial parameters estimation using time series clustering and reinforcement learning	2024-08-06	6 pag... 6 pages, 3 figures, 1 table. To be presented in ESA - AI for Space (SPAICE)
Volatility Forecasting Using Similarity-based Parameter Correction and Aggregated Shock Information	2024-08-06	26 pa... 26 pages, 7 figures, 2 tables

Trajectory

Title	Date	Comment
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
Real-time Trajectory Optimization of Impaired Aircraft based on Steady State Manoeuvres	2024-08-05	56 pa... 56 pages, 21 figures, 2 tables
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models	2024-08-05	12 pages, 9 figures
Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease	2024-08-04	MICCA... MICCAI 2024 LDTM workshop
Service Placement and Trajectory Design for Heterogeneous Tasks in Multi-UAV Cooperative Computing Networks	2024-08-03	11 pages, 10 figures
Incorporating Control Inputs in the Estimation of Continuous Mobile Robot Trajectories and Continuum Robot Shapes	2024-08-02	8 pag... 8 pages, 5 figures, submitted to IEEE Robotics and Automation Letters
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration	2024-08-02

Graph Neural Networks

Title	Date	Comment
Knowledge Probing for Graph Representation Learning	2024-08-07
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks	2024-08-07	CIKM2024
MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Analysis	2024-08-06
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning	2024-08-06
CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs	2024-08-06
SIGMA: Similarity-based Efficient Global Aggregation for Heterophilous Graph Neural Networks	2024-08-06
SETN: Stock Embedding Enhanced with Textual and Network Information	2024-08-06
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach	2024-08-05	2024 ... 2024 SIAM International Conference on Data Mining
Review of coreference resolution in English and Persian	2024-08-05	44 pa... 44 pages, 8 figures, 4 tables
Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks	2024-08-05
Scalable Expressiveness through Preprocessed Graph Perturbations	2024-08-05	14 pages, 3 figures
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks	2024-08-05
Understanding Deep Learning via Notions of Rank	2024-08-04	PhD thesis
Optimal and efficient text counterfactuals using Graph Neural Networks	2024-08-04
Top K Enhanced Reinforcement Learning Attacks on Heterogeneous Graph Node Classification	2024-08-04