2020
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks
ICML 2020poster
We present an explicit deep neural network construction that transforms uniformly distributed one-dimensional noise into an arbitrarily close approximation of any two-dimensional Lipschitz-continuous target distribution. The key ingredient of our design is a generalization of the "space-filling" pro…