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cs.LG2026
Variational Neural Networks for Observable Thermodynamics (V-NOTS)
Christopher Eldred, François Gay-Balmaz, Vakhtang Putkaradze
Much attention has recently been devoted to data-based computing of evolution of physical systems. In such approaches, information about data points from past trajectories in phase…
cs.LG2024
CLPNets: Coupled Lie-Poisson Neural Networks for Multi-Part Hamiltonian Systems with Symmetries
Christopher Eldred, François Gay-Balmaz, Vakhtang Putkaradze
To accurately compute data-based prediction of Hamiltonian systems, especially the long-term evolution of such systems, it is essential to utilize methods that preserve the structu…