Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks

Dmytro Perekrestenko, Stephan Müller, Helmut Bölcskei

We present an explicit deep neural network construction that transforms uniformly distributed one-dimensional noise into an arbitrarily close approximation of any two-dimensional L…