A fully Bayesian Hamiltonian Gaussian Process learns energy-consistent dynamics from input-output data by inferring hidden states and hyperparameters including damping coefficients.
Gabriel Riutort-Mayol, Paul-Christian B¨urkner, Michael R
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Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes
A fully Bayesian Hamiltonian Gaussian Process learns energy-consistent dynamics from input-output data by inferring hidden states and hyperparameters including damping coefficients.