Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data

Giora Simchoni, Saharon Rosset

Variational Autoencoders (VAE) are widely used for dimensionality reduction of large-scale tabular and image datasets, under the assumption of independence between data observation…