Alexis Boukouvalas
Alexis Boukouvalas
Research Engineering Team Lead at DeepMind
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Cited by
GPflow: A Gaussian process library using TensorFlow
AGG Matthews, M Van Der Wilk, T Nickson, K Fujii, A Boukouvalas, P Le, ...
Journal of Machine Learning Research 18 (40), 1-6, 2017
What to Do When K-Means Clustering Fails: A Simple yet Principled Alternative Algorithm
YP Raykov, A Boukouvalas, F Baig, MA Little
PloS one 11 (9), e0162259, 2016
Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction
YP Raykov, E Ozer, G Dasika, A Boukouvalas, MA Little
Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016
Medication reconciliation by a pharmacy technician in a mental health assessment unit
K Brownlie, C Schneider, R Culliford, C Fox, A Boukouvalas, C Willan, ...
International journal of clinical pharmacy 36, 303-309, 2014
Benchmark and parameter sensitivity analysis of single-cell RNA sequencing clustering methods
M Krzak, Y Raykov, A Boukouvalas, L Cutillo, C Angelini
Frontiers in genetics 10, 486077, 2019
Age‐associated changes in long‐chain fatty acid profile during healthy aging promote pro‐inflammatory monocyte polarization via PPAR γ
C Pararasa, J Ikwuobe, S Shigdar, A Boukouvalas, IT Nabney, JE Brown, ...
Aging cell 15 (1), 128-139, 2016
GrandPrix: scaling up the Bayesian GPLVM for single-cell data
S Ahmed, M Rattray, A Boukouvalas
Bioinformatics 35 (1), 47-54, 2019
Transition from community dwelling to retirement village in older adults: cognitive functioning and psychological health outcomes
C Holland, A Boukouvalas, S Wallis, D Clarkesmith, R Cooke, L Liddell, ...
Ageing & Society 37 (7), 1499-1526, 2017
Optimal design for correlated processes with input-dependent noise
A Boukouvalas, D Cornford, M Stehlík
Computational Statistics & Data Analysis 71, 1088-1102, 2014
Learning heteroscedastic Gaussian processes for complex datasets
A Boukouvalas, D Cornford
Group 44 (0), 2009
Simple approximate MAP inference for Dirichlet processes mixtures
YP Raykov, A Boukouvalas, MA Little
Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments
N BinTayyash, S Georgaka, ST John, S Ahmed, A Boukouvalas, ...
Bioinformatics 37 (21), 3788-3795, 2021
An efficient screening method for computer experiments
A Boukouvalas, JP Gosling, H Maruri-Aguilar
Technometrics 56 (4), 422-431, 2014
BGP: identifying gene-specific branching dynamics from single-cell data with a branching Gaussian process
A Boukouvalas, J Hensman, M Rattray
Genome biology 19, 1-15, 2018
Gaussian process quantile regression using expectation propagation
A Boukouvalas, R Barillec, D Cornford
arXiv preprint arXiv:1206.6391, 2012
Gaussian process quantile regression using expectation propagation
A Boukouvalas, R Barillec, D Cornford
arXiv preprint arXiv:1206.6391, 2012
Adaptive sensor placement for continuous spaces
J Grant, A Boukouvalas, RR Griffiths, D Leslie, S Vakili, EM De Cote
International Conference on Machine Learning, 2385-2393, 2019
Emulation of random output simulators
A Boukouvalas
Aston University, 2010
Additive Gaussian processes revisited
X Lu, A Boukouvalas, J Hensman
International Conference on Machine Learning, 14358-14383, 2022
Bayesian precalibration of a large stochastic microsimulation model
A Boukouvalas, P Sykes, D Cornford, H Maruri-Aguilar
IEEE Transactions on Intelligent Transportation Systems 15 (3), 1337-1347, 2014
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