Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
This package contains MATLAB files to do elementary computations on the Riemannian manifold of Gaussian distributions under the 2-Wasserstein metric, including computing a barycenter of a population of GDs.
Short Tutorial on Wasserstein Generative Adversial Networks
Given as part of the Optimal Transport and Wasserstein Information Geometry working group at the Institute of Pure and Applied Mathematics (IPAM), UCLA.
Wrapped Gaussian Process Regression for DTI
An example of WGP regression on a diffusion tensor field.