Jul 2026
RTS Smoother-Guided Learning of Physics-Based Neural Differential Models
A hybrid neural--physics framework in which the known components of the ODE are kept explicit and the missing components are represented by a neural network to improve latent-state reconstruction and long-horizon prediction.
Ahmet Demirkaya, Georgios Stratis, Tales Imbiriba et al.
· arXiv.org · 0 citations