Joe's Notes
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    • Survey on the Techniques of Physics-Informed Machine Learning

    Physics-Informed Machine Learning

      Physics Insight

      • first integrals
      • Hamilton-Jacobi equation
      • in involution
      • Infinitesimal Canonical Transformation
      • Liouville integrable systems
      • Poisson Bracket

      Reference Notes

      • greydanus2019 Hamiltonian Neural Networks
      • hornik1989 Multilayer feedforward networks are universal approximators
    • Action-Angle Networks
    • Dimension-Preserving Networks and BuckiNet
    • Generating Function Neural Network
    • Hamiltonian Neural Networks
    • Hamiltonian Neural Networks and related architectures
    • Other architectures
    • Solving Differential Equations using Neural Networks
    • Symbolic Regression Methods
    • SympNet
    • SympNet and other symplectic, structure-preserving networks

    On this page

      greydanus2019 Hamiltonian Neural Networks

      @misc{greydanus2019hamiltonianneuralnetworks,
      title={Hamiltonian Neural Networks},
      author={Sam Greydanus and Misko Dzamba and Jason Yosinski},
      year={2019},
      eprint={1906.01563},
      archivePrefix={arXiv},
      primaryClass={cs.NE},
      url={https://arxiv.org/abs/1906.01563},
      }