273 citations · 988 across the 24 of their papers we have counts for
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stat.ML2012★ 273 cited
Deep Gaussian Processes
Andreas C. Damianou, Neil D. Lawrence
In this paper we introduce deep Gaussian process (GP) models. Deep GPs are a deep belief network based on Gaussian process mappings. The data is modeled as the output of a multivar…
cs.LG2012★ 49 cited
Manifold Relevance Determination
Andreas Damianou, Carl Ek, Michalis Titsias +1
In this paper we present a fully Bayesian latent variable model which exploits conditional nonlinear(in)-dependence structures to learn an efficient latent representation. The late…