Training HNNs without backpropagation
Sampling the hidden weights of Hamiltonian neural networks using data-agnostic and data-driven algorithms to approximate Hamiltonian functions. In this post we also implement HNNs and sampled HNNs to approximate a simple Hamiltonian system.