From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
RTS Smoother-Guided Learning of Physics-Based Neural Differential Models
Ahmet Demirkaya, Georgios Stratis, Tales Imbiriba +2
The paper introduces a hybrid neural‑physics framework that combines known ODE components with neural networks to learn missing dynamics, using a Rauch‑Tung‑Striebel smoother for l…
cs.LG2024
Learning Physics Informed Neural ODEs With Partial Measurements
Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba +3
Learning dynamics governing physical and spatiotemporal processes is a challenging problem, especially in scenarios where states are partially measured. In this work, we tackle the…