A survey on Variational Autoencoders from a GreenAI perspective

1 code implementation • 1 Mar 2021 • Andrea Asperti, D. Evangelista, E. Loli Piccolomini

Variational AutoEncoders (VAEs) are powerful generative models that merge elements from statistics and information theory with the flexibility offered by deep neural networks to efficiently solve the generation problem for high dimensional data.

Representation Learning