Topic Modeling with Wasserstein Autoencoders

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)

Reference

• 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