Preprint
Aug 2026
Learning Deterministic and Stochastic Forced Hamiltonian Systems
This work develops a geometric framework for learning deterministic and stochastic forced Hamiltonian systems with neural networks and extends the framework to parameter-dependent systems, leading to Parametric Generalized Forced Hamiltonian Neural Networks (PGFHNNs).
Benedikt Brantner, Tomasz Tyranowski
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