Learning dissipative Hamiltonian dynamics with reproducing kernel Hilbert spaces and random Fourier features

24 October 2024

Papers citing "Learning dissipative Hamiltonian dynamics with reproducing kernel Hilbert spaces and random Fourier features"

7 / 7 papers shown

Title
Nonparametric adaptive control and prediction: theory and randomized algorithms Nicholas M. Boffi Stephen Tu Jean-Jacques E. Slotine 68 22 0 07 Jun 2021
Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN AI4CE 75 80 0 20 Feb 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 209 225 0 29 Sep 2019
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN 88 271 0 26 Sep 2019
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization Sumeet Singh Spencer M. Richards Vikas Sindhwani Jean-Jacques E. Slotine Marco Pavone 80 75 0 29 Jul 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 118 899 0 04 Jun 2019
Learning Contracting Vector Fields For Stable Imitation Learning Vikas Sindhwani Stephen Tu Mohi Khansari 58 40 0 13 Apr 2018