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Symplectic Momentum Neural Networks -- Using Discrete Variational
  Mechanics as a prior in Deep Learning

Symplectic Momentum Neural Networks -- Using Discrete Variational Mechanics as a prior in Deep Learning

20 January 2022
Saul Santos
Monica Ekal
R. Ventura
ArXivPDFHTML

Papers citing "Symplectic Momentum Neural Networks -- Using Discrete Variational Mechanics as a prior in Deep Learning"

5 / 5 papers shown
Title
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
Yana Lishkova
P. Scherer
Steffen Ridderbusch
M. Jamnik
Pietro Lio'
Sina Ober-Blobaum
Christian Offen
PINN
70
7
0
28 Jan 2025
Lie Group Forced Variational Integrator Networks for Learning and
  Control of Robot Systems
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems
Valentin Duruisseaux
T. Duong
Melvin Leok
Nikolay A. Atanasov
DRL
AI4CE
18
12
0
29 Nov 2022
Approximation of nearly-periodic symplectic maps via
  structure-preserving neural networks
Approximation of nearly-periodic symplectic maps via structure-preserving neural networks
Valentin Duruisseaux
J. Burby
Q. Tang
30
11
0
11 Oct 2022
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
130
424
0
10 Mar 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
146
219
0
29 Sep 2019
1