Stefan Kremer

The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection

A problem with using the Gaussian distribution as a prior for the variational autoencoder (VAE) is that the set on which Gaussians have high probability density is small as the latent dimension increases. This is an issue because VAEs try to attain both a high likelihood with respect to a prior dist…