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05/19/2023
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis
We propose a new multimodal variational autoencoder that enables to gene...
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03/24/2023
Variational Inference for Longitudinal Data Using Normalizing Flows
This paper introduces a new latent variable generative model able to han...
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09/15/2022
A Geometric Perspective on Variational Autoencoders
This paper introduces a new interpretation of the Variational Autoencode...
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06/16/2022
Pythae: Unifying Generative Autoencoders in Python – A Benchmarking Use Case
In recent years, deep generative models have attracted increasing intere...
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04/30/2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
In this paper, we propose a new method to perform data augmentation in a...
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03/25/2021
Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE
While much efforts have been focused on improving Variational Autoencode...
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10/22/2020