Variational Smoothing and Inference for SDEs from Sparse Data with Dynamic Neural Flows
arXiv:2605.05606v1 Announce Type: new
Abstract: Stochastic differential equations (SDEs) provide a flexible framework for modeling temporal dynamics in partially observed systems. A central task is to calibrate such models from data, which requires in…