1 code implementation • ICLR 2019 • Soheil Kolouri, Phillip E. Pope, Charles E. Martin, Gustavo K. Rohde
In this paper we use the geometric properties of the optimal transport (OT) problem and the Wasserstein distances to define a prior distribution for the latent space of an auto-encoder.
5 code implementations • 5 Apr 2018 • Soheil Kolouri, Phillip E. Pope, Charles E. Martin, Gustavo K. Rohde
In short, we regularize the autoencoder loss with the sliced-Wasserstein distance between the distribution of the encoded training samples and a predefined samplable distribution.
