Latest 15 Papers - August 07, 2024

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Time Series

Title	Date	Comment
Time-series imputation using low-rank matrix completion	2024-08-05	12 pages, 6 figures
Time-Series Classification in Smart Manufacturing Systems: An Experimental Evaluation of State-of-the-Art Machine Learning Algorithms	2024-08-05	Publi... Published in Robotics and Computer-Integrated Manufacturing journal
Unified Principal Components Analysis of Irregularly Observed Functional Time Series	2024-08-05
DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting	2024-08-05
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series	2024-08-05
The projected dynamic linear model for time series on the sphere	2024-08-04	28 pages, 8 figures
SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems	2024-08-04
Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease	2024-08-04	MICCA... MICCAI 2024 LDTM workshop
Isolating Signatures of Cyberattacks under Stressed Grid Conditions	2024-08-04	accep... accepted as a work-in-progress paper at the 2024 Annual Conference of the IEEE Industrial Electronics Society (IECON)
ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting	2024-08-04
Meta-Posterior Consistency for the Bayesian Inference of Metastable System	2024-08-03	32 pages, 3 figures
Class-incremental Learning for Time Series: Benchmark and Evaluation	2024-08-03	Accep... Accepted by SIGKDD 2024 (ADS track). Codes available at https://github.com/zqiao11/TSCIL
Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation	2024-08-03	This ... This work will be presented at IROS 2024. Supplementary website: https://bazs.github.io/probe2road/
VAE-IF: Deep feature extraction with averaging for fully unsupervised artifact detection in routinely acquired ICU time-series	2024-08-02
Can multivariate Granger causality detect directed connectivity of a multistable and dynamic biological decision network model?	2024-08-02

Trajectory

Title	Date	Comment
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
TGS: Trajectory Generation and Selection using Vision Language Models in Mapless Outdoor Environments	2024-08-05
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
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving	2024-08-02
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification	2024-08-02
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
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

Graph Neural Networks

Title	Date	Comment
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks	2024-08-05
SIGMA: Similarity-based Efficient Global Aggregation for Heterophilous Graph Neural Networks	2024-08-05	Under review
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
Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder	2024-08-04
A Comprehensive Survey on GNN Characterization	2024-08-04
Non-convolutional Graph Neural Networks	2024-08-04
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization	2024-08-03
Efficient Graph Coloring with Neural Networks: A Physics-Inspired Approach for Large Graphs	2024-08-02	16 pages, 9 figures
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series	2024-08-02	9 pag... 9 pages, 3 figures, paper under review
Amortized Probabilistic Detection of Communities in Graphs	2024-08-02	Accep... Accepted by the Structured Probabilistic Inference & Generative Modeling workshop of ICML 2024, Vienna, Austria
Tailoring Graph Neural Network-based Flow-guided Localization to Individual Bloodstreams and Activities	2024-08-02	7 pag... 7 pages, 9 figures, 2 tables, 16 references, accepted at ACM NanoCom'25
HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling	2024-08-02
Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks	2024-08-02	Accep... Accepted in VTC Fall 2024