Bayesian Identification of Nonseparable Hamiltonian Systems Using
Stochastic Dynamic Models

Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models

15 September 2022

Nicholas Galioto

Alex A. Gorodetsky

Papers citing "Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models"

4 / 4 papers shown

Title
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling Nicholas Galioto Harsh Sharma Boris Kramer Alex Arkady Gorodetsky 36 0 0 23 Jan 2024
Learning Dynamical Systems from Noisy Data with Inverse-Explicit Integrators Haakon Noren Sølve Eidnes E. Celledoni 21 3 0 06 Jun 2023
Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models Sarvin Moradi N. Jaensson Roland Tóth Maarten Schoukens PINN 27 3 0 02 May 2023
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 146 219 0 29 Sep 2019