Can we learn gradients by Hamiltonian Neural Networks?

Aleksandr Timofeev, Andrei Afonin, Yehao Liu

In this work, we propose a meta-learner based on ODE neural networks that learns gradients. This approach makes the optimizer is more flexible inducing an automatic inductive bias…