Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling

Nicholas Galioto, Harsh Sharma, Boris Kramer +1

This paper presents a structure-preserving Bayesian approach for learning nonseparable Hamiltonian systems using stochastic dynamic models allowing for statistically-dependent, vec…