Implement as follow articles by PyTorch
- (As progress) Topic Modeling with Wasserstein Autoencoders(ACL 2019)
- (Future) Distilled Wasserstein Learning for Word Embedding and Topic Modeling(NeurIPS 2018)
- Wasserstein GAN, 26 Jan 2017
- Wasserstein Auto-Encoders, 5 Nov 2017
- Optimal Transport to a Variety, 25 Sep 2019
- Closed-form Expressions for Maximum Mean Discrepancy with Applications to Wasserstein Auto-Encoders, 10 Jan 2019
- Maximum Mean Discrepancy Gradient Flow, NeurIPS 2019
- Understand mathematics of Wasserstein
- GAN - Wasserstein GAN & WGAN-GP
- awslabs/w-lda: Original Repo.
- Earth Movers Distance and Maximum Mean Discrepency