NeurIPS 2020

Reciprocal Adversarial Learning via Characteristic Functions

Meta Review

The reviewers have reached a consensus that this work constitutes a novel and interesting extension of previous work on learning implicit models using GANs and integral probability metrics. The problems identified in the first round of reviewing were largely addressed in the author response, and I therefore can comfortably recommend accepting this paper.