Latest 15 Papers - November 26, 2024

[github-actions[bot]]

Please check the Github page for a better reading experience and more papers.

Time Series

Title	Date	Comment
Point process analysis of geographical diffusion of news in Argentina	2024-11-22
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification	2024-11-22
Random Fourier Signature Features	2024-11-22
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data	2024-11-22	Publi... Published at the Twelfth International Conference on Learning Representations (ICLR 2024), Spotlight presentation (Notable Top 5%). https://openreview.net/forum?id=4VIgNuQ1pY
ArrivalNet: Predicting City-wide Bus/Tram Arrival Time with Two-dimensional Temporal Variation Modeling	2024-11-22
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification	2024-11-22
Recursive Gaussian Process State Space Model	2024-11-22
Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting	2024-11-22	Co-fi... Co-first Author: Bong Gyun Kang, Dongjun Lee. NeurIPS 2024 (Conference on Neural Information Processing Systems)
Modelling Loss of Complexity in Intermittent Time Series and its Application	2024-11-21	44 pages, 4 figures
From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption	2024-11-21	NeurI... NeurIPS 2024 Workshop on Time Series in the Age of Large Models
A Bayesian mixture model for Poisson network autoregression	2024-11-21
Spectral domain likelihoods for Bayesian inference in time-varying parameter models	2024-11-21
A Dataset for Evaluating Online Anomaly Detection Approaches for Discrete Multivariate Time Series	2024-11-21
Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study	2024-11-21
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecasting	2024-11-21	Model... Model architecture changed

Trajectory

Title	Date	Comment
Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots	2024-11-22
RED: Effective Trajectory Representation Learning with Comprehensive Information	2024-11-22	This ... This paper is accepted by VLDB2025
Trajectory Planning and Control for Robotic Magnetic Manipulation	2024-11-22	8 pages, 6 figures
Bi-level Trajectory Optimization on Uneven Terrains with Differentiable Wheel-Terrain Interaction Model	2024-11-22	8 pag... 8 pages, 7 figures, submitted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
Grid and Road Expressions Are Complementary for Trajectory Representation Learning	2024-11-22	This ... This paper is accepted by KDD2025(August Cycle)
Landing Trajectory Prediction for UAS Based on Generative Adversarial Network	2024-11-21	9 pag... 9 pages, AIAA SCITECH 2023
Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning	2024-11-21	15 pages, 5 figures
FlightPatchNet: Multi-Scale Patch Network with Differential Coding for Flight Trajectory Prediction	2024-11-21
Dynamic Trajectory and Power Control in Ultra-Dense UAV Networks: A Mean-Field Reinforcement Learning Approach	2024-11-21
Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics	2024-11-21
Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient	2024-11-21
Almost Global Trajectory Tracking for Quadrotors Using Thrust Direction Control on $\mathcal{S}^2$	2024-11-20
Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance	2024-11-20	arXiv... arXiv admin note: text overlap with arXiv:2303.04137 by other authors
Bring the Heat: Rapid Trajectory Optimization with Pseudospectral Techniques and the Affine Geometric Heat Flow Equation	2024-11-20	26 pages, 8 figures
A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information	2024-11-19	19 pa... 19 pages, 5 figures + 3 in supporting information (at the bottom of the manuscript)

Graph Neural Networks

Title	Date	Comment
Financial Fraud Detection using Jump-Attentive Graph Neural Networks	2024-11-22	Inter... International Conference on Machine Learning and Applications 2024
What Do GNNs Actually Learn? Towards Understanding their Representations	2024-11-22
Machine Learning for Practical Quantum Error Mitigation	2024-11-22	11 pa... 11 pages, 7 figures (main text) + 9 pages, 4 figures (supplementary information)
Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods	2024-11-22
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling	2024-11-22	5 pages
Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics	2024-11-21	Accep... Accepted in International Conference on Field Programmable Technology (FPT-2024)
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings	2024-11-21
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes	2024-11-21
Graph Neural Networks and Arithmetic Circuits	2024-11-21
Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network	2024-11-21	Accpe... Accpeted for Machine Learning and the Physical Sciences Workshop at the 38th conference on Neural Information Processing Systems (NeurIPS 2024)
GNN-MultiFix: Addressing the pitfalls for GNNs for multi-label node classification	2024-11-21
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference	2024-11-21
Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach	2024-11-21
Topology-Aware Popularity Debiasing via Simplicial Complexes	2024-11-21
Graph Knowledge Distillation to Mixture of Experts	2024-11-21