Reviews: Multivariate Triangular Quantile Maps for Novelty Detection

This paper proposes a novelty detection framework, using feature extraction via neural networks, density estimation via flows, and multiple gradient descent for optimization. The reviewers were unanimous in their vote to accept. Authors are encouraged to revise with respect to reviewer comments.