Latest 15 Papers - August 05, 2024

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Time Series

Title	Date	Comment
Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models	2024-08-01	8 pages
AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model	2024-08-01
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting	2024-08-01	accep... accepted by CIKM 2024
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries	2024-08-01
Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges	2024-07-31
Temporal Subspace Clustering for Molecular Dynamics Data	2024-07-31	Accep... Accepted as a research paper at BIOKDD 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification	2024-07-31
Root Cause Analysis Of Productivity Losses In Manufacturing Systems Utilizing Ensemble Machine Learning	2024-07-31
Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling	2024-07-31	Publi... Published in Pattern Recognition
Analysis and Predictive Modeling of Solar Coronal Holes Using Computer Vision and ARIMA-LSTM Networks	2024-07-31	Accep... Accepted to the first joint European Space Agency SPAICE Conference 2024
Time Series Imputation with Multivariate Radial Basis Function Neural Network	2024-07-31
Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction	2024-07-31	This ... This paper has been accepted at INTERSPEECh 2024
FreqTSF: Time Series Forecasting Via Simulating Frequency Kramer-Kronig Relations	2024-07-31
On the Impact of High-Order Harmonic Generation in Electrical Distribution Systems	2024-07-31	accep... accepted for presentation at the 2024 IEEE Energy Conversion Conference and Expo (ECCE)
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes	2024-07-30	16 pages, 5 figures

Trajectory

Title	Date	Comment
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation	2024-08-01	30 pa... 30 pages, 20 figures, Accepted to ECCV 2024
Analysis of Functional Insufficiencies and Triggering Conditions to Improve the SOTIF of an MPC-based Trajectory Planner	2024-08-01	Extended Version
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving	2024-08-01
Discovering Car-following Dynamics from Trajectory Data through Deep Learning	2024-08-01
Tora: Trajectory-oriented Diffusion Transformer for Video Generation	2024-07-31
MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction	2024-07-31	19 pa... 19 pages, 12 figures, 7 tables, 8 pages of supplementary material. Paper accepted at ECCV 2024
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration	2024-07-31
CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning	2024-07-31	8 pag... 8 pages, 7 figures. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
Zero Shot Health Trajectory Prediction Using Transformer	2024-07-30
Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning	2024-07-30
Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants	2024-07-30
Scene-Specific Trajectory Sets: Maximizing Representation in Motion Forecasting	2024-07-30
Aircraft Trajectory Segmentation-based Contrastive Coding: A Framework for Self-supervised Trajectory Representation	2024-07-29	16 pa... 16 pages, 7 figures. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model	2024-07-29
SAPI: Surroundings-Aware Vehicle Trajectory Prediction at Intersections	2024-07-29

Graph Neural Networks

Title	Date	Comment
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning	2024-08-01	Accep... Accepted by CIKM'2024
Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems	2024-08-01
Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networks	2024-08-01
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation	2024-08-01	14 pages
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck	2024-08-01	13 pages, 7 figures
Multi-Modal Parameter-Efficient Fine-tuning via Graph Neural Network	2024-08-01
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction	2024-08-01
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach	2024-08-01	13 pa... 13 pages, 5 figures, 5 tables
Asymmetric Contrastive Multimodal Learning for Advancing Chemical Understanding	2024-07-31	18 pa... 18 pages, 5 figures, 5 tables
Non-convolutional Graph Neural Networks	2024-07-31
UMMAN: Unsupervised Multi-graph Merge Adversarial Network for Disease Prediction Based on Intestinal Flora	2024-07-31
MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction	2024-07-31	19 pa... 19 pages, 12 figures, 7 tables, 8 pages of supplementary material. Paper accepted at ECCV 2024
MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images	2024-07-31	The f... The first two authors contributed equally to this work
GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction	2024-07-31
Disentangled Condensation for Large-scale Graphs	2024-07-31	Under Review