2020
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
ICML 2020poster
Training neural ODEs on large datasets has not been tractable due to the necessity of allowing the adaptive numerical ODE solver to refine its step size to very small values. In practice this leads to dynamics equivalent to many hundreds or even thousands of layers. In this paper, we overcome this a…