Michael Puthawala

Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows

We study approximation of probability measures supported on n-dimensional manifolds embedded in R^m by injective flows—neural networks composed of invertible flows and injective layers. We show that in general, injective flows between R^n and R^m universally approximate measures supported on images…