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Physics-Informed Learning Using Hamiltonian Neural Networks with Output
  Error Noise Models

Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models

2 May 2023
Sarvin Moradi
N. Jaensson
Roland Tóth
Maarten Schoukens
    PINN
ArXivPDFHTML

Papers citing "Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models"

12 / 12 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
53
3
0
15 Sep 2022
Learning Neural Hamiltonian Dynamics: A Methodological Overview
Learning Neural Hamiltonian Dynamics: A Methodological Overview
Zhijie Chen
Mingquan Feng
Junchi Yan
H. Zha
AI4CE
54
16
0
28 Feb 2022
Dissipative Hamiltonian Neural Networks: Learning Dissipative and
  Conservative Dynamics Separately
Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately
A. Sosanya
S. Greydanus
PINN
AI4CE
57
31
0
25 Jan 2022
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent
  Dynamical Systems
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems
Shaan Desai
M. Mattheakis
David Sondak
P. Protopapas
Stephen J. Roberts
AI4CE
53
46
0
16 Jul 2021
Machine learning structure preserving brackets for forecasting
  irreversible processes
Machine learning structure preserving brackets for forecasting irreversible processes
Kookjin Lee
Nathaniel Trask
P. Stinis
AI4CE
71
45
0
23 Jun 2021
Nonseparable Symplectic Neural Networks
Nonseparable Symplectic Neural Networks
S. Xiong
Yunjin Tong
Xingzhe He
Shuqi Yang
Cheng Yang
Bo Zhu
67
34
0
23 Oct 2020
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer
  Algorithm
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
Guillaume Verdon
Jacob A. Marks
Sasha Nanda
Stefan Leichenauer
Jack Hidary
DRL
37
99
0
04 Oct 2019
Hamiltonian Generative Networks
Hamiltonian Generative Networks
Peter Toth
Danilo Jimenez Rezende
Andrew Jaegle
S. Racanière
Aleksandar Botev
I. Higgins
BDL
DRL
AI4CE
GAN
59
217
0
30 Sep 2019
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
205
224
0
29 Sep 2019
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
Yaofeng Desmond Zhong
Biswadip Dey
Amit Chakraborty
PINN
86
271
0
26 Sep 2019
Hamiltonian Neural Networks
Hamiltonian Neural Networks
S. Greydanus
Misko Dzamba
J. Yosinski
PINN
AI4CE
118
893
0
04 Jun 2019
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
1