Learning Hamiltonian Dynamics with Bayesian Data Assimilation

Taehyeun Kim, Tae-Geun Kim, Anouck Girard +1

In this paper, we develop a neural network-based approach for time-series prediction in unknown Hamiltonian dynamical systems. Our approach leverages a surrogate model and learns t…