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hamiltonian neural network

11 papers

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Also known as

HNN

Co-occurring keywords · papers mentioning both

graph neural network (3) physics-informed learning (3) inductive bia (3) lagrangian neural network (2) 3d conformation (2) molecular representation (2) physics-informed neural network (2) dynamical system (2) kam theory (1) molecular conformation (1)

Papers

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NeurIPS 2024 Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach NeurIPS 2023 LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning AAAI 2023 Deconstructing the Inductive Biases of Hamiltonian Neural Networks ICLR 2022 KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss AAAI 2022 Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems NeurIPS 2022 A unified framework for Hamiltonian deep neural networks L4DC 2021 Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data L4DC 2021 Conformation-Guided Molecular Representation with Hamiltonian Neural Networks ICLR 2021 Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models NeurIPS 2021 Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints NeurIPS 2020