103 citations · 129 across the 11 of their papers we have counts for
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stat.ML2022★ 10 cited
A Geometric Perspective on Variational Autoencoders
Clément Chadebec, Stéphanie Allassonnière
This paper introduces a new interpretation of the Variational Autoencoder framework by taking a fully geometric point of view. We argue that vanilla VAE models unveil naturally a R…
cs.LG2022★ 6 cited
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case
Clément Chadebec, Louis J. Vincent, Stéphanie Allassonnière
In recent years, deep generative models have attracted increasing interest due to their capacity to model complex distributions. Among those models, variational autoencoders have g…