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20202026
most citedData Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

103 citations · 129 across the 11 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

stat.ML2023★ 3 cited

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…

stat.ML2023★ 1 cited

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…