Preventing Oversmoothing in VAE via Generalized Variance Parameterization

Yuhta Takida, Wei-Hsiang Liao, Chieh-Hsin Lai +3

Variational autoencoders (VAEs) often suffer from posterior collapse, which is a phenomenon in which the learned latent space becomes uninformative. This is often related to the hy…