Learning Generalized Hamiltonian Dynamics with Stability from Noisy Trajectory Data

Luke McLennan, Yi Wang, Ryan Farell +2

We introduce a robust framework for learning various generalized Hamiltonian dynamics from noisy, sparse phase-space data and in an unsupervised manner based on variational Bayesia…