# Variational autoencoders

tags
Neural networks
resources
(Bishop 1994)

Variational autoencoders (VAEs) are a type of generative Autoencoders.

They use a Bayesian latent encoding for the input dataset.

## VAEs vs. GANs

VAEs have fallen out of fashion when GANs became popular, because they were able to get visually interesting results more easily. However, some works a few years later seem to show that they have similar potential (Vahdat, Kautz 2020).

## Bibliography

1. . . "Mixture Density Networks". Aston University.
2. . . "NVAE: A Deep Hierarchical Variational Autoencoder". Arxiv:2007.03898 [cs, Stat]. http://arxiv.org/abs/2007.03898.