Local Truncation Error-Guided Neural ODEs for Large Scale Traffic Forecasting

概要

arXiv:2605.03386v1 Announce Type: cross Abstract: Spatiotemporal forecasting in physical systems, such as large-scale traffic networks, requires modeling a dual dynamic: continuous macroscopic rhythms and discrete, unpredictable microscopic shocks. While Neural Ordinary Differential Equations (ODEs…