Title: An Introduction to Variational Autoencoders
Authors: Diederik P. Kingma, Max Welling
Published: 6th June 2019 (Thursday) @ 16:35:38
Link: http://arxiv.org/abs/1906.02691v3
Abstract
Variational autoencoders provide a principled framework for learning deep latent-variable models and corresponding inference models. In this work, we provide an introduction to variational autoencoders and some important extensions.