Data-driven discovery of non-Newtonian astronomy via learning
non-Euclidean Hamiltonian

Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian

30 September 2022

Evangelos A. Theodorou

Papers citing "Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian"

6 / 6 papers shown

Title
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control T. Duong Abdullah Altawaitan Jason Stanley Nikolay A. Atanasov 28 10 0 17 Jan 2024
Hamiltonian Neural Networks with Automatic Symmetry Detection Eva Dierkes Christian Offen Sina Ober-Blobaum K. Flaßkamp 17 7 0 19 Jan 2023
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias Yupu Lu Shi-Min Lin Guanqi Chen Jia-Yu Pan 32 7 0 24 Jun 2022
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 130 424 0 10 Mar 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 146 219 0 29 Sep 2019