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Simplex Autoencoders

Synthetic data generation is increasingly important due to privacy concerns. While Autoencoder-based approaches have been widely used for this purpose, sampling from their latent spaces can be challenging. Mixture models are currently the most efficient way to sample from these spaces.

Data and Resources

Cite this as

Aymene Mohammed Bouayed, David Naccache (2024). Dataset: Simplex Autoencoders. https://doi.org/10.57702/742i3ss5

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Author Aymene Mohammed Bouayed
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David Naccache
Homepage https://arxiv.org/abs/2204.09541