97 citations · 272 across the 14 of their papers we have counts for
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stat.ML2015★ 57 cited
Bayesian representation learning with oracle constraints
Theofanis Karaletsos, Serge Belongie, Gunnar Rätsch
Representation learning systems typically rely on massive amounts of labeled data in order to be trained to high accuracy. Recently, high-dimensional parametric models like neural…
stat.ML2015★ 6 cited
Automatic Relevance Determination For Deep Generative Models
Theofanis Karaletsos, Gunnar Rätsch
A recurring problem when building probabilistic latent variable models is regularization and model selection, for instance, the choice of the dimensionality of the latent space. In…