Latest 15 Papers - November 07, 2024

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Time Series

Title	Date	Comment
Statistical Properties of Deep Neural Networks with Dependent Data	2024-11-05	85 pa... 85 pages, 2 figures, removed partially linear model section and uploaded as a separate paper (arXiv:2410.22574v1)
Formal Logic-guided Robust Federated Learning against Poisoning Attacks	2024-11-05	arXiv... arXiv admin note: text overlap with arXiv:2305.00328 by other authors
Interpretable Predictive Models for Healthcare via Rational Logistic Regression	2024-11-05	ICIS ... ICIS 2021 Proceedings ( see https://aisel.aisnet.org/icis2021/is_health/is_health/18 )
FUSE: Fast Unified Simulation and Estimation for PDEs	2024-11-05
TrendLSW: Trend and Spectral Estimation of Nonstationary Time Series in R	2024-11-05
IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems	2024-11-05
A scalable generative model for dynamical system reconstruction from neuroimaging data	2024-11-05	38th ... 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Time-Causal VAE: Robust Financial Time Series Generator	2024-11-05
ABBA-VSM: Time Series Classification using Symbolic Representation on the Edge	2024-11-05	15 pa... 15 pages with references, 5 figures
Capturing research literature attitude towards Sustainable Development Goals: an LLM-based topic modeling approach	2024-11-05	27 pa... 27 pages, 8 figures, 5 tables
A Mamba Foundation Model for Time Series Forecasting	2024-11-05
Knowledge Enhanced Conditional Imputation for Healthcare Time-series	2024-11-05
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting	2024-11-05	Accpe... Accpeted by ACMMM2024
Temporal Wasserstein Imputation: Versatile Missing Data Imputation for Time Series	2024-11-05
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations	2024-11-05

Trajectory

Title	Date	Comment
Revisiting CNNs for Trajectory Similarity Learning	2024-11-05
NEOviz: Uncertainty-Driven Visual Analysis of Asteroid Trajectories	2024-11-05
Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery	2024-11-04
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis	2024-11-04	Accep... Accepted by NeurIPS 2024 (Camera-Ready Version). Project Page: https://hyper-sd.github.io/
Intrinsic Dimensionality of Fermi-Pasta-Ulam-Tsingou High-Dimensional Trajectories Through Manifold Learning	2024-11-04	20 pages, 18 figures
Enhancing Social Robot Navigation with Integrated Motion Prediction and Trajectory Planning in Dynamic Human Environments	2024-11-04	In th... In the 24th International Conference on Control, Automation, and Systems (ICCAS 2024), Jeju, Korea
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning	2024-11-04	NeurI... NeurIPS 2024. Previously accepted (Spotlight) to ICLR 2024 Workshop on Generative Models for Decision Making. Jaewoo Lee and Sujin Yun are equal contribution authors
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression	2024-11-03	Camer... Camera-ready version of NeurIPS 2024 paper
Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach	2024-11-03
Labeled random finite sets vs. trajectory random finite sets	2024-11-03	6 pages, 1 figur4e
TrajRoute: Rethinking Routing with a Simple Trajectory-Based Approach -- Forget the Maps and Traffic!	2024-11-02
GPTR: Gaussian Process Trajectory Representation for Continuous-Time Motion Estimation	2024-11-02	The s... The source code has been released. All feedbacks are welcome
QuITO v.2: Trajectory Optimization with Uniform Error Guarantees under Path Constraints	2024-11-02	Submitted; 42 pages
SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation	2024-11-01
RopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior	2024-11-01	Accep... Accepted by WACV 2025 (Round 1)

Graph Neural Networks

Title	Date	Comment
Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix	2024-11-05	Corre... Correction of precision and recall values
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation	2024-11-05	Accep... Accepted for publication in Geoscience and Remote Sensing Magazine (GRSM)
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment	2024-11-05
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts	2024-11-05	8pages
Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money Laundering	2024-11-05	14th ... 14th International Conference on Security, Privacy, and Applied Cryptographic Engineering (SPACE) 2024
Distributed Graph Neural Network Design for Sum Ergodic Spectral Efficiency Maximization in Cell-Free Massive MIMO	2024-11-05	6 pag... 6 pages, 4 figures, and 4 tables. Accepted by IEEE TVT
Predicting the Temperature-Dependent CMC of Surfactant Mixtures with Graph Neural Networks	2024-11-05
Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning	2024-11-05
JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs	2024-11-05	5 pag... 5 pages, 4 figures, accepted by SIGIR'24
Fine Grained Insider Risk Detection	2024-11-04
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis	2024-11-04	Accep... Accepted by Sigspatial 2024
GraphXAIN: Narratives to Explain Graph Neural Networks	2024-11-04	15 pages, 9 figures
Federated GNNs for EEG-Based Stroke Assessment	2024-11-04	13 pa... 13 pages, 5 figures, Proceedings of the II edition of the Workshop on Unifying Representations in Neural Models (UniReps 2024)
On the Utilization of Unique Node Identifiers in Graph Neural Networks	2024-11-04
Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches	2024-11-04