10 citations · 14 across the 3 of their papers we have counts for
3 papers
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis
Agathe Senellart, Clément Chadebec, Stéphanie Allassonnière
We propose a new multimodal variational autoencoder that enables to generate from the joint distribution and conditionally to any number of complex modalities. The unimodal posteri…
Variational Inference for Longitudinal Data Using Normalizing Flows
Clément Chadebec, Stéphanie Allassonnière
This paper introduces a new latent variable generative model able to handle high dimensional longitudinal data and relying on variational inference. The time dependency between the…
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…