Understanding t3-Variational Autoencoder for Heavy-Tailed Data

The author proposes a modified VAE framework, t3VAE, utilizing heavy-tailed models to better fit real-world datasets by incorporating Student’s t-distributions. The approach aims to address over-regularization issues and improve the generation of low-density regions.