2 papers
cs.LG2026
Learning Reduced-Order Dynamics with Singularity via Latent-Augmented Neural Ordinary Differential Equations
Xiaorui Wang, Yu Zhou, Wenjie Mei +3
This paper addresses the issue of self-intersecting trajectories (in phase space) in industrial reduced-order modeling and proposes the Latent-Augmented Neural Ordinary Differentia…
math.OC2026
A Canonical Structure for Constructing Projected First-Order Algorithms With Delayed Feedback
Mengmou Li, Yu Zhou, Xun Shen +1
This work introduces a canonical structure for a broad class of unconstrained first-order algorithms that admit a Lur'e representation, including systems with relative degree great…