Compositional Learning of Dynamical System Models Using Port-Hamiltonian
Neural Networks

Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks

1 December 2022

Ufuk Topcu

Papers citing "Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks"

11 / 11 papers shown

Title
Stable Port-Hamiltonian Neural Networks Fabian J. Roth Dominik K. Klein Maximilian Kannapinn Jan Peters Oliver Weeger 74 1 0 04 Feb 2025
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks Cyrus Neary Nathan Tsao Ufuk Topcu 77 1 0 15 Dec 2024
Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains Razmik Arman Khosrovian Takaharu Yaguchi Hiroaki Yoshimura Takashi Matsubara AI4CE 27 0 0 15 Oct 2024
Human-Robot Cooperative Distribution Coupling for Hamiltonian-Constrained Social Navigation Weizheng Wang Chao Yu Yu Wang Byung-Cheol Min 188 2 0 20 Sep 2024
Data-driven identification of latent port-Hamiltonian systems J. Rettberg Jonas Kneifl Julius Herb Patrick Buchfink Jörg Fehr B. Haasdonk PINN 34 2 0 15 Aug 2024
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control T. Duong Abdullah Altawaitan Jason Stanley Nikolay Atanasov 37 10 0 17 Jan 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems Eduardo Sebastián T. Duong Nikolay Atanasov Eduardo Montijano C. Sagüés 31 3 0 30 Dec 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations Franck Djeumou Cyrus Neary Ufuk Topcu DiffM 24 8 0 10 Jun 2023
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou Cyrus Neary Eric Goubault S. Putot Ufuk Topcu PINN AI4CE 42 68 0 14 Sep 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty 52 34 0 12 Feb 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 139 424 0 10 Mar 2020