Boukouvalas, Alexis

7 publications

TMLR 2023 Modelling Sequential Branching Dynamics with a Multivariate Branching Gaussian Process Elvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas

ICML 2022 Additive Gaussian Processes Revisited Xiaoyu Lu, Alexis Boukouvalas, James Hensman

AISTATS 2021 The Minecraft Kernel: Modelling Correlated Gaussian Processes in the Fourier Domain Fergus Simpson, Alexis Boukouvalas, Vaclav Cadek, Elvijs Sarkans, Nicolas Durrande

AISTATS 2020 Enriched Mixtures of Generalised Gaussian Process Experts Charles Gadd, Sara Wade, Alexis Boukouvalas

ICML 2019 Adaptive Sensor Placement for Continuous Spaces James Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David Leslie, Sattar Vakili, Enrique Munoz De Cote

MLOSS 2017 GPflow: A Gaussian Process Library Using TensorFlow Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, James Hensman

ICML 2012 Gaussian Process Quantile Regression Using Expectation Propagation Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford