Alexis Boukouvalas

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 16

Top Venues

CoRR

Bioinform.

AISTATS

ICML

Aston University, Birmingham, UK (PHD)

Education History

Aston University, Birmingham, UK

PHD

Publications

Elvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas
Modelling sequential branching dynamics with a multivariate branching Gaussian process. Trans. Mach. Learn. Res. 2023 (2023)
Xiaoyu Lu, Alexis Boukouvalas, James Hensman
Additive Gaussian Processes Revisited. CoRR (2022)
Xiaoyu Lu, Alexis Boukouvalas, James Hensman
Additive Gaussian Processes Revisited. ICML (2022)
Fergus Simpson, Alexis Boukouvalas, Václav Cadek, Elvijs Sarkans, Nicolas Durrande
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain. CoRR (2021)
Fergus Simpson, Alexis Boukouvalas, Václav Cadek, Elvijs Sarkans, Nicolas Durrande
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain. AISTATS (2021)
Nuha Bintayyash, Sokratia Georgaka, S. T. John, Sumon Ahmed, Alexis Boukouvalas, James Hensman, Magnus Rattray
Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments. Bioinform. 37 (21) (2021)
Luisa Cutillo, Alexis Boukouvalas, Elli Marinopoulou, Nancy Papalopulu, Magnus Rattray
OscoNet: inferring oscillatory gene networks. BMC Bioinform. (10) (2020)
Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas
Enriched mixtures of generalised Gaussian process experts. AISTATS (2020)
James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote
Adaptive Sensor Placement for Continuous Spaces. ICML (2019)
Sattar Vakili, Alexis Boukouvalas, Qing Zhao
Decision Variance in Risk-Averse Online Learning. CDC (2019)
Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas
Enriched Mixtures of Gaussian Process Experts. CoRR (2019)
James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote
Adaptive Sensor Placement for Continuous Spaces. CoRR (2019)
Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas
GrandPrix: scaling up the Bayesian GPLVM for single-cell data. Bioinform. 35 (1) (2019)
Sattar Vakili, Alexis Boukouvalas
Decision Variance in Online Learning. CoRR (2018)
Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, James Hensman
GPflow: A Gaussian Process Library using TensorFlow. J. Mach. Learn. Res. 18 (2017)
Yordan P. Raykov, Emre Ozer, Ganesh Dasika, Alexis Boukouvalas, Max A. Little
Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction. UbiComp (2016)
Alexis Boukouvalas, Dan Cornford, Milan Stehlík
Optimal design for correlated processes with input-dependent noise. Comput. Stat. Data Anal. 71 (2014)
Alexis Boukouvalas, Pete Sykes, Dan Cornford, Hugo Maruri-Aguilar
Bayesian Precalibration of a Large Stochastic Microsimulation Model. IEEE Trans. Intell. Transp. Syst. 15 (3) (2014)
Alexis Boukouvalas, John Paul Gosling, Hugo Maruri-Aguilar
An Efficient Screening Method for Computer Experiments. Technometrics 56 (4) (2014)
Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford
Gaussian Process Quantile Regression using Expectation Propagation. ICML (2012)
Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford
Gaussian Process Quantile Regression using Expectation Propagation. CoRR (2012)

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Publication Activity (10 Years)

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Alexis Boukouvalas