Symplectic Gaussian Process Regression of Hamiltonian Flow Maps

Symplectic Gaussian Process Regression of Hamiltonian Flow Maps

11 September 2020

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Papers citing "Symplectic Gaussian Process Regression of Hamiltonian Flow Maps"

13 / 13 papers shown

Title
Data-driven identification of port-Hamiltonian DAE systems by Gaussian processes Peter Zaspel Michael Günther 56 2 0 26 Jun 2024
Learning Hamiltonian Dynamics with Reproducing Kernel Hilbert Spaces and Random Features Torbjorn Smith Olav Egeland 44 2 0 11 Apr 2024
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs Yusuke Tanaka Takaharu Yaguchi Tomoharu Iwata N. Ueda AI4CE 116 0 0 14 Feb 2024
Exact Inference for Continuous-Time Gaussian Process Dynamics K. Ensinger Nicholas Tagliapietra Sebastian Ziesche Sebastian Trimpe 56 1 0 05 Sep 2023
Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification Thomas Beckers Tom Z. Jiahao George J. Pappas 78 3 0 15 May 2023
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior Thomas Beckers Jacob H. Seidman P. Perdikaris George J. Pappas PINN 85 17 0 15 May 2023
Learning Energy Conserving Dynamics Efficiently with Hamiltonian Gaussian Processes M. Ross Markus Heinonen 52 2 0 03 Mar 2023
Hamiltonian Neural Networks with Automatic Symmetry Detection Eva Dierkes Christian Offen Sina Ober-Blobaum K. Flaßkamp 96 9 0 19 Jan 2023
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems Valentin Duruisseaux T. Duong Melvin Leok Nikolay Atanasov DRL AI4CE 116 13 0 29 Nov 2022
Approximation of nearly-periodic symplectic maps via structure-preserving neural networks Valentin Duruisseaux J. Burby Q. Tang 90 11 0 11 Oct 2022
Physically Consistent Learning of Conservative Lagrangian Systems with Gaussian Processes G. Evangelisti Sandra Hirche 63 15 0 24 Jun 2022
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision I. Higgins Peter Wirnsberger Andrew Jaegle Aleksandar Botev 89 8 0 10 Nov 2021
Structure-preserving Gaussian Process Dynamics K. Ensinger Friedrich Solowjow Sebastian Ziesche Michael Tiemann Sebastian Trimpe 73 9 0 02 Feb 2021