Not sure how that would work out in practice. We kind of rushed with the experiments in any case - maybe we could let the methods train for longer. In the end t

Not sure how that would work out in practice. We kind of rushed with the experiments in any case - maybe we could let the methods train for longer. In the end the adversary might learn any regular patters that appear, therefore forcing the generator to come up with something that cannot be detected easily. (We trained everything to 1M steps. Perhaps letting it train to 2M would solve it.)