I have two preprints on arXiv exploring an alternative to adversarial training to train generative networks; the first applies it to probabilistic forecasting, while the second is concerned with Likelihood-Free Inference. I feel that is a promising overlooked approach. Happy to hear any feedback! ![:smile: :smile:](https://github.githubassets.com/images/icons/emoji/unicode/1f604.png)