Reviews: MintNet: Building Invertible Neural Networks with Masked Convolutions

Originality: While I would not call the use of masked transformations particularly novel in this setting, the authors present a satisfying and simple architecture which should be broadly applicable to many domains and tasks. This stands in contrast to many other invertible models which utilize very tailored and domain specific architectures. Quality: I believe this paper to be of high quality. The strong performance of the proposed architecture on generative modeling is well-backed by experimental results. I feel the classification experiments could have been stronger and presented more clearly.