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Unifying physical systems' inductive biases in neural ODE using dynamics
  constraints

Unifying physical systems' inductive biases in neural ODE using dynamics constraints

3 August 2022
Yi Heng Lim
M. F. Kasim
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "Unifying physical systems' inductive biases in neural ODE using dynamics constraints"

5 / 5 papers shown
Title
When are dynamical systems learned from time series data statistically
  accurate?
When are dynamical systems learned from time series data statistically accurate?
Jeongjin Park
Nicole Yang
Nisha Chandramoorthy
AI4TS
38
4
0
09 Nov 2024
A Two-Stage Training Method for Modeling Constrained Systems With Neural
  Networks
A Two-Stage Training Method for Modeling Constrained Systems With Neural Networks
C. Coelho
M. F. P. Costa
L. L. Ferrás
24
0
0
05 Mar 2024
Stabilized Neural Differential Equations for Learning Dynamics with
  Explicit Constraints
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints
Alistair J R White
Niki Kilbertus
Maximilian Gelbrecht
Niklas Boers
20
6
0
16 Jun 2023
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
139
425
0
10 Mar 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
152
220
0
29 Sep 2019
1