newsReddit r/MachineLearningTrust 72 · CommunityPublished 1mo agoLive · 1mo ago
Hamiltonian Neural Networks from a Differential Geometry Perspective [D]
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- LinkedLinked via unknownPhysics-constrained neural networks for surrogate modeling of lossless periodic structures →
- LinkedLinked via unknownDiffeomorphic Optimization →
- PossiblePossibly related (embedding) · 47%Unpr3dictable/neurizon.ai →
- PossiblePossibly related (embedding) · 50%An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks →
- PossiblePossibly related (embedding) · 48%JuliaGraphs/GraphNeuralNetworks.jl →
- PossiblePossibly related (embedding) · 46%google-deepmind/kfac-jax →
- PossiblePossibly related (embedding) · 46%pyRiemann/pyRiemann →
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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/pyRiemannpaperAdvances in Neural Controlled Differential EquationspaperPhysics-Informed Neural Embeddings of PDE Solution FamiliesrepoNatLabRockies/phygnnrepoatomistic-machine-learning/schnetpackreposizhe-li/neural-jacobian-fieldpaper1-Lipschitz Neural Networks on Hadamard ManifoldspaperRiemannian Deep Learning:Modules, Networks, and GeometriespaperPG-KINN: A Physics-Informed Petrov-Galerkin Kolmogorov-Arnold Network for Solving Forward and Inverse PDEs
Related across the graph
paperDiffeomorphic OptimizationpaperAdvances in Neural Controlled Differential EquationsrepopyRiemann/pyRiemannrepoJuliaGraphs/GraphNeuralNetworks.jlpaperPG-KINN: A Physics-Informed Petrov-Galerkin Kolmogorov-Arnold Network for Solving Forward and Inverse PDEsrepoUnpr3dictable/neurizon.airepoNatLabRockies/phygnnpaper1-Lipschitz Neural Networks on Hadamard ManifoldspaperPhysics-Informed Neural Embeddings of PDE Solution FamiliespaperAn 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 Localizationreposizhe-li/neural-jacobian-fieldpaperRiemannian Deep Learning:Modules, Networks, and Geometriesrepogoogle-deepmind/kfac-jaxrepoatomistic-machine-learning/schnetpack