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Hamiltonian Neural Networks from a Differential Geometry Perspective [D]

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paperPhysics-constrained neural networks for surrogate modeling of lossless periodic structurespaperCharacterizing Optimizer-Dependent Training Dynamics Through Hessian Eigenvector Displacement and Localization

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paperDiffeomorphic OptimizationrepoUnpr3dictable/neurizon.aipaperAn Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural NetworksrepoJuliaGraphs/GraphNeuralNetworks.jlrepogoogle-deepmind/kfac-jaxrepopyRiemann/pyRiemann

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paperDiffeomorphic OptimizationrepopyRiemann/pyRiemannrepoJuliaGraphs/GraphNeuralNetworks.jlrepoUnpr3dictable/neurizon.aipaperAn Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural NetworkspaperPhysics-constrained neural networks for surrogate modeling of lossless periodic structurespaperCharacterizing Optimizer-Dependent Training Dynamics Through Hessian Eigenvector Displacement and Localizationrepogoogle-deepmind/kfac-jax