Training neural ODEs for density estimation
Date:
Pre-pandemic, I was invited to be a visiting fellow at IPAM’s spring 2020 long program on high-dimensional Hamilton-Jacobi PDEs. Although my stay was cut short, I did give a virtual talk as part of the program’s workshop on PDEs and Inverse Problems in Machine Learning. This talk was based on our paper on training neural ODEs with kinetic regularization