273 citations · 330 across the 2 of their papers we have counts for
2 papers
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…
stat.ML2011★ 57 cited
Variational Gaussian Process Dynamical Systems
Andreas C. Damianou, Michalis K. Titsias, Neil D. Lawrence
High dimensional time series are endemic in applications of machine learning such as robotics (sensor data), computational biology (gene expression data), vision (video sequences)…