Approximation of nearly-periodic symplectic maps via structure-preserving neural networks

11 October 2022

Papers citing "Approximation of nearly-periodic symplectic maps via structure-preserving neural networks"

6 / 6 papers shown

Title
Enabling Automatic Differentiation with Mollified Graph Neural Operators Ryan Y. Lin Julius Berner Valentin Duruisseaux David Pitt Daniel Leibovici Jean Kossaifi Kamyar Azizzadenesheli Anima Anandkumar AI4CE 43 0 0 11 Apr 2025
Projected Neural Differential Equations for Learning Constrained Dynamics Alistair J R White Anna Buttner Maximilian Gelbrecht Valentin Duruisseaux Niki Kilbertus Frank Hellmann Niklas Boers 43 0 0 31 Oct 2024
Coarse-Graining Hamiltonian Systems Using WSINDy Daniel Messenger J. Burby David M. Bortz 51 6 0 09 Oct 2023
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems Valentin Duruisseaux T. Duong Melvin Leok Nikolay Atanasov DRL AI4CE 29 12 0 29 Nov 2022
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 139 424 0 10 Mar 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 152 220 0 29 Sep 2019