Latest 15 Papers - August 02, 2024

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Time Series

Title	Date	Comment
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
Analyzing Customer-Facing Vendor Experiences with Time Series Forecasting and Monte Carlo Techniques	2024-07-30
Multi-task Photonic Reservoir Computing: Wavelength Division Multiplexing for Parallel Computing with a Silicon Microring Resonator	2024-07-30	Main ... Main text: 11 figures, 3 tables. Supplementary material: 2 figures, 4 tables. The pre-print is under review in Frontiers: Advanced Optical Technologies. The abstract is shorter than in the PDF file to comply with arXiv requirements
Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders	2024-07-30
A changepoint approach to modelling non-stationary soil moisture dynamics	2024-07-30	21 pa... 21 pages for the main manuscript, 8 pages for the supplemental document
Interpretable Pre-Trained Transformers for Heart Time-Series Data	2024-07-30	14 pages, 5 figures
DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation	2024-07-30	15 pa... 15 pages, 12 figure, 5 tables
ECATS: Explainable-by-design concept-based anomaly detection for time series	2024-07-30	14 pa... 14 pages, 8 figures, accepted to 18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy 2024)

Trajectory

Title	Date	Comment
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
Analysis of Functional Insufficiencies and Triggering Conditions to Improve the SOTIF of an MPC-based Trajectory Planner	2024-07-31	Extended Version
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
Motion Manifold Flow Primitives for Language-Guided Trajectory Generation	2024-07-29	12 pa... 12 pages, 10 figures, under review
Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network	2024-07-29
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain	2024-07-28

Graph Neural Networks

Title	Date	Comment
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
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks	2024-07-30
What Are Good Positional Encodings for Directed Graphs?	2024-07-30
Dynamic Spiking Framework for Graph Neural Networks	2024-07-30
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning	2024-07-30	9pages
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks	2024-07-30
Automated Physical Design Watermarking Leveraging Graph Neural Networks	2024-07-30	accep... accept to MLCAD24, code: https://github.com/ruisizhang123/PD_WM_GNN
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies	2024-07-30
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement	2024-07-30
Relaxed Equivariant Graph Neural Networks	2024-07-30	Exten... Extended abstract presented at the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at the 41st International Conference on Machine Learning, July 2024, Vienna, Austria
rLLM: Relational Table Learning with LLMs	2024-07-29