Gaussian mixture models with Wasserstein distance. - Benoit Gaujac; Ilya Feige; David Barber (CoRR, 2018)

Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders. - Benoit Gaujac; Ilya Feige; David Barber (CoRR, 2020)

Improving Gaussian mixture latent variable model convergence with Optimal Transport. - Benoit Gaujac; Ilya Feige; David Barber (ACML, 2021)

Learning Disentangled Representations with the Wasserstein Autoencoder. - Benoit Gaujac; Ilya Feige; David Barber (ECML/PKDD (3), 2021)

Learning the Language of Protein Structure. - Benoit Gaujac; Jérémie Donà; Liviu Copoiu; Timothy Atkinson 003; Thomas Pierrot; Thomas D. Barrett (CoRR, 2024)