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Learning Symmetries of Classical Integrable Systems

Learning Symmetries of Classical Integrable Systems

11 June 2019
Roberto Bondesan
A. Lamacraft
ArXivPDFHTML

Papers citing "Learning Symmetries of Classical Integrable Systems"

5 / 5 papers shown
Title
The R-mAtrIx Net
The R-mAtrIx Net
Shailesh Lal
Suvajit Majumder
E. Sobko
24
5
0
14 Apr 2023
The Hintons in your Neural Network: a Quantum Field Theory View of Deep
  Learning
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
Roberto Bondesan
Max Welling
34
7
0
08 Mar 2021
SympNets: Intrinsic structure-preserving symplectic networks for
  identifying Hamiltonian systems
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems
Pengzhan Jin
Zhen Zhang
Aiqing Zhu
Yifa Tang
George Karniadakis
11
21
0
11 Jan 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
241
3,236
0
24 Nov 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
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