Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213; Department of Mathematical Sciences, Carnegie Mellon University, Pittsburgh, PA 15213; Computer Science Department, Stanford University, Stanford, CA 94305; Mathematics Department, Duke University, Durham, NC 27708
Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski
Generative Models;Normalizing Flows;Universal Approximation;Langevin;Dynamical Systems;Deep Learning Theory
Universal Approximation Using Well-Conditioned Normalizing Flows