209 citations · 361 across the 6 of their papers we have counts for
3 papers · 1 filter
Better Mixing via Deep Representations
Yoshua Bengio, Grégoire Mesnil, Yann Dauphin +1
It has previously been hypothesized, and supported with some experimental evidence, that deeper representations, when well trained, tend to do a better job at disentangling the und…
Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders
Yoshua Bengio, Guillaume Alain, Salah Rifai
Recent work suggests that some auto-encoder variants do a good job of capturing the local manifold structure of the unknown data generating density. This paper contributes to the m…
A Generative Process for Sampling Contractive Auto-Encoders
Salah Rifai, Yoshua Bengio, Yann Dauphin +1
The contractive auto-encoder learns a representation of the input data that captures the local manifold structure around each data point, through the leading singular vectors of th…