Alexis Boukouvalas

According to our database, Alexis Boukouvalas authored at least 18 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Modelling sequential branching dynamics with a multivariate branching Gaussian process.

Elvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas

Trans. Mach. Learn. Res., 2023

2022

Additive Gaussian Processes Revisited.

Xiaoyu Lu, Alexis Boukouvalas, James Hensman

Proceedings of the International Conference on Machine Learning, 2022

2021

Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments.

Nuha Bintayyash, Sokratia Georgaka, S. T. John, Sumon Ahmed, Alexis Boukouvalas, James Hensman, Magnus Rattray

Bioinform., 2021

The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain.

Fergus Simpson, Alexis Boukouvalas, Václav Cadek, Elvijs Sarkans, Nicolas Durrande

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

OscoNet: inferring oscillatory gene networks.

Luisa Cutillo, Alexis Boukouvalas, Elli Marinopoulou, Nancy Papalopulu, Magnus Rattray

BMC Bioinform., 2020

Enriched mixtures of generalised Gaussian process experts.

Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Enriched Mixtures of Gaussian Process Experts.

Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas

CoRR, 2019

GrandPrix: scaling up the Bayesian GPLVM for single-cell data.

Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas

Bioinform., 2019

Adaptive Sensor Placement for Continuous Spaces.

James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote

Proceedings of the 36th International Conference on Machine Learning, 2019

Decision Variance in Risk-Averse Online Learning.

Sattar Vakili, Alexis Boukouvalas, Qing Zhao

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Decision Variance in Online Learning.

Sattar Vakili, Alexis Boukouvalas

CoRR, 2018

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

J. Mach. Learn. Res., 2017

2016

Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction.

Yordan P. Raykov, Emre Ozer, Ganesh Dasika, Alexis Boukouvalas, Max A. Little

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2014

Bayesian Precalibration of a Large Stochastic Microsimulation Model.

Alexis Boukouvalas, Pete Sykes, Dan Cornford, Hugo Maruri-Aguilar

IEEE Trans. Intell. Transp. Syst., 2014

An Efficient Screening Method for Computer Experiments.

Alexis Boukouvalas, John Paul Gosling, Hugo Maruri-Aguilar

Technometrics, 2014

Optimal design for correlated processes with input-dependent noise.

Alexis Boukouvalas, Dan Cornford, Milan Stehlík

Comput. Stat. Data Anal., 2014

2012

Gaussian Process Quantile Regression using Expectation Propagation.

Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford

Proceedings of the 29th International Conference on Machine Learning, 2012

2010

Emulation of random output simulators.

Alexis Boukouvalas

PhD thesis, 2010