Training neural ODEs for density estimation


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

slides here