ResearchTrend.AI
Symmetry Preservation in Hamiltonian Systems: Simulation and Learning

Symmetry Preservation in Hamiltonian Systems: Simulation and Learning

M. Vaquero
Jorge Cortés
David Martín de Diego
ArXivPDFHTML

Papers citing "Symmetry Preservation in Hamiltonian Systems: Simulation and Learning"

4 / 4 papers shown
Title
Designing Poisson Integrators Through Machine Learning
Designing Poisson Integrators Through Machine Learning
M. Vaquero
David Martín de Diego
Jorge Cortés
AI4CE
14
2
0
29 Mar 2024
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks
Pengzhan Jin
Zhen Zhang
Ioannis G. Kevrekidis
George Karniadakis
60
50
0
05 Dec 2020
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
165
433
0
10 Mar 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
205
224
0
29 Sep 2019

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.