most citedCNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models

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cs.LG2023

Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts

Aymene Mohammed Bouayed, Adrian Iaccovelli, David Naccache

In this study, we focus on sampling from the latent space of generative models built upon autoencoders so as the reconstructed samples are lifelike images. To do to, we introduce a…

cs.LG2023

Simplex Autoencoders

Aymene Mohammed Bouayed, David Naccache

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 s…