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

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

23 January 2024
Nicholas Galioto
Harsh Sharma
Boris Kramer
Alex Arkady Gorodetsky
ArXivPDFHTML

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

3 / 3 papers shown
Title
Bayesian Identification of Nonseparable Hamiltonian Systems Using
  Stochastic Dynamic Models
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models
Harsh Sharma
Nicholas Galioto
Alex A. Gorodetsky
Boris Kramer
38
3
0
15 Sep 2022
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
133
424
0
10 Mar 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
146
220
0
29 Sep 2019
1