Hamiltonian Neural Networks
PulseAugur coverage of Hamiltonian Neural Networks — every cluster mentioning Hamiltonian Neural Networks across labs, papers, and developer communities, ranked by signal.
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Symplectic Neural Networks enhance Hamiltonian Neural Network training
Researchers have developed Symplectic Neural Networks (SNNs) to improve the training of Hamiltonian Neural Networks (HNNs). This new method addresses the computational challenges associated with implicit symplectic inte…
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NEXUS framework models physically consistent 3D object dynamics
Researchers have introduced NEXUS, a novel neural energy-field framework designed to model physically consistent contact-rich 3D object dynamics. Unlike previous methods that often model isolated physical effects, NEXUS…
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New NHODE framework learns physics-informed dynamical systems with unobserved states
Researchers have developed a new framework called neural Hamiltonian ordinary differential equations (NHODE) to learn dynamical systems from data, even when some state variables are unobserved. This approach combines Ha…