Benoit Gaujac

According to our database, Benoit Gaujac authored at least 4 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Learning Disentangled Representations with the Wasserstein Autoencoder.

Benoit Gaujac, Ilya Feige, David Barber

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Improving Gaussian mixture latent variable model convergence with Optimal Transport.

Benoit Gaujac, Ilya Feige, David Barber

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders.

Benoit Gaujac, Ilya Feige, David Barber

CoRR, 2020

2018

Gaussian mixture models with Wasserstein distance.

Benoit Gaujac, Ilya Feige, David Barber

CoRR, 2018