most citedDeep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

498 citations · 656 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2016★ 498 cited

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo +4

We study a variant of the variational autoencoder model (VAE) with a Gaussian mixture as a prior distribution, with the goal of performing unsupervised clustering through deep gene…

cs.LG2016★ 13 cited

Improving Sampling from Generative Autoencoders with Markov Chains

Antonia Creswell, Kai Arulkumaran, Anil Anthony Bharath

We focus on generative autoencoders, such as variational or adversarial autoencoders, which jointly learn a generative model alongside an inference model. Generative autoencoders a…