Latest 15 Papers - September 18, 2024

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Time Series

Title	Date	Comment
A point process approach for the classification of noisy calcium imaging data	2024-09-16	12 pages, 8 figures
Causal Learning in Biomedical Applications: A Benchmark	2024-09-16
TCDformer-based Momentum Transfer Model for Long-term Sports Prediction	2024-09-16	Under reviewing
AALF: Almost Always Linear Forecasting	2024-09-16
Participation Factors for Nonlinear Autonomous Dynamical Systems in the Koopman Operator Framework	2024-09-16	33 pages, 3 figures
SeLeP: Learning Based Semantic Prefetching for Exploratory Database Workloads	2024-09-16
Spatiotemporal Covariance Neural Networks	2024-09-16	Joint... Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) 2024
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities	2024-09-16
Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series	2024-09-16	Accepted by KDD 2024

Trajectory

Title	Date	Comment
Maneuver Decision-Making with Trajectory Streams Prediction for Autonomous Vehicles	2024-09-16	17 pages, 8 figures
From a Single Trajectory to Safety Controller Synthesis of Discrete-Time Nonlinear Polynomial Systems	2024-09-16
Model Predictive Planning: Trajectory Planning in Obstruction-Dense Environments for Low-Agility Aircraft	2024-09-13
Multi-Entry Generalized Search Trees for Indexing Trajectories	2024-09-13
xTED: Cross-Domain Policy Adaptation via Diffusion-Based Trajectory Editing	2024-09-13	xTED ... xTED offers a novel, generic, flexible, simple and effective paradigm that casts cross-domain policy adaptation as a data pre-processing problem
Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization	2024-09-13	8 pag... 8 pages, 6 figures, submitted to the 2025 IEEE International Conference on Robotics & Automation (ICRA)
Online state vector reduction during model predictive control with gradient-based trajectory optimisation	2024-09-12	18 pa... 18 pages, 4 figures, accepted to WAFR 2024
Universal Trajectory Optimization Framework for Differential-Driven Robot Class	2024-09-12	15 pages, 15 figures
Structured Deep Neural Network-Based Backstepping Trajectory Tracking Control for Lagrangian Systems	2024-09-12

Graph Neural Networks

Title	Date	Comment
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings	2024-09-16	Preprint
RTop-K: Ultra-Fast Row-Wise Top-K Algorithm and GPU Implementation for Neural Networks	2024-09-16	Need ... Need to improve the experiment part
PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis	2024-09-16
Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs	2024-09-16
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering	2024-09-16
Graph Neural Networks for Parkinsons Disease Detection	2024-09-16	Submi... Submitted to ICASSP 2025
Multi-agent Attacks for Black-box Social Recommendations	2024-09-16	Accepted by ACM TOIS
Deep Graph Anomaly Detection: A Survey and New Perspectives	2024-09-16	24 pa... 24 pages, 6 figures, and 7 tables
Tracking the spatial dynamics of the synthetic opioid crisis in the USA, 2013-2020 using human mobility-based graph neural network	2024-09-16
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code	2024-09-16
Generalizability of Graph Neural Network Force Fields for Predicting Solid-State Properties	2024-09-16	17 pages, 7 figures
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks	2024-09-15
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning	2024-09-15	arXiv... arXiv admin note: substantial text overlap with arXiv:2403.01475
Predicting building types and functions at transnational scale	2024-09-15
Improved Physics-Informed Neural Network based AC Power Flow for Distribution Networks	2024-09-14