Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes
arXiv:2511.05330v2 Announce Type: replace
Abstract: Embedding non-restrictive prior knowledge, such as energy conservation laws, into learning methods is a key motive to construct physically consistent dynamics models from limited data, relevant for, …