Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction
arXiv:2605.12683v1 Announce Type: new
Abstract: Reconstructing nonlinear dynamical systems (DS) from data (DSR) is a fundamental challenge in science and engineering, but it inherently relies on sequential models. Recent breakthroughs for sequential m…