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cs.LG2026
Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
Maximino Linares, Guillaume Doras, Thomas Hélie
Hybrid machine learning combines physical knowledge with data-driven models to enhance interpretability and performance. In this context, Port-Hamiltonian Systems (PHS), which gene…
cs.LG2026
Controlled oscillation modeling using port-Hamiltonian neural networks
Maximino Linares, Guillaume Doras, Thomas Hélie
Learning dynamical systems through purely data-driven methods is challenging as they do not learn the underlying conservation laws that enable them to correctly generalize. Existin…