A prior-based approximate latent Riemannian metric

Georgios Arvanitidis, Bogdan Georgiev, Bernhard Schölkopf

Stochastic generative models enable us to capture the geometric structure of a data manifold lying in a high dimensional space through a Riemannian metric in the latent space. Howe…