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Exact conservation laws for neural network integrators of dynamical
  systems

Exact conservation laws for neural network integrators of dynamical systems

23 September 2022
E. Müller
    PINN
ArXivPDFHTML

Papers citing "Exact conservation laws for neural network integrators of dynamical systems"

5 / 5 papers shown
Title
Neural Conservation Laws: A Divergence-Free Perspective
Neural Conservation Laws: A Divergence-Free Perspective
Jack Richter-Powell
Y. Lipman
Ricky T. Q. Chen
33
48
0
04 Oct 2022
A simple equivariant machine learning method for dynamics based on
  scalars
A simple equivariant machine learning method for dynamics based on scalars
Weichi Yao
Kate Storey-Fisher
D. Hogg
Soledad Villar
AI4CE
32
9
0
07 Oct 2021
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
121
364
0
10 Mar 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
139
219
0
29 Sep 2019
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
252
1,394
0
01 Dec 2016
1