2023
On the Convergence Rate of Gaussianization with Random Rotations
ICML 2023poster
Gaussianization is a simple generative model that can be trained without backpropagation. It has shown compelling performance on low dimensional data. As the dimension increases, however, it has been observed that the convergence speed slows down. We show analytically that the number of required lay…