273 citations · 988 across the 24 of their papers we have counts for
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cs.DC2014★ 25 cited
Gaussian Process Models with Parallelization and GPU acceleration
Zhenwen Dai, Andreas Damianou, James Hensman +1
In this work, we present an extension of Gaussian process (GP) models with sophisticated parallelization and GPU acceleration. The parallelization scheme arises naturally from the…
stat.ML2014★ 24 cited
Variational Inference for Uncertainty on the Inputs of Gaussian Process Models
Andreas C. Damianou, Michalis K. Titsias, Neil D. Lawrence
The Gaussian process latent variable model (GP-LVM) provides a flexible approach for non-linear dimensionality reduction that has been widely applied. However, the current approach…