Reviews: Discrete Flows: Invertible Generative Models of Discrete Data

Neural Information Processing Systems 

Originality: This paper is the first demonstration of flow-based models to discrete data. As such, the work is fairly novel. The flow-based modeling community has been wondering how to model discrete data for some time, and this paper provides an answer to this question. That being said, the main technical contribution amounts to using a modulo operator (Eq. I view this simplicity as a benefit of the approach, but some may view this a simple extension of existing techniques.