Latent Space Oddity: on the Curvature of Deep Generative Models

Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg

Deep generative models provide a systematic way to learn nonlinear data distributions, through a set of latent variables and a nonlinear "generator" function that maps latent point…