The Mutual Autoencoder: Controlling Information in Latent Code Representations

ICLR 2018 Mary PhuongMax WellingNate KushmanRyota TomiokaSebastian Nowozin

Variational autoencoders (VAE) learn probabilistic latent variable models by optimizing a bound on the marginal likelihood of the observed data. Beyond providing a good density model a VAE model assigns to each data instance a latent code... (read more)

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