Idempotent Generative Network 1 UC Berkeley 2 Google Research [Paper] [BibTeX] [Code (soon)] We propose a new approach for generative modeling based on training a neural network to be idempotent. An idempotent operator is one that can be applied sequentially without changing the result beyond the initial application, namely $f(f(z))=f(z)$. The proposed
