Alexis Boukouvalas

23 papers A* 3A 2Misc 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data.
CoRR
Christopher F. Brown, Michal Kazmierski, Valerie Pasquarella, William Rucklidge, Masha Samsikova, Chenhui Zhang, Evan Shelhamer, Estefania Lahera, Olivia Wiles, Simon Ilyushchenko, Noel Gorelick, Lihui Lydia Zhang, Sophia Alj, Emily Schechter, Sean Askay, Oliver Guinan, Rebecca Moore, Alexis Boukouvalas, Pushmeet Kohli
2023 J jnl
Modelling sequential branching dynamics with a multivariate branching Gaussian process.
Trans. Mach. Learn. Res.
Elvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas
2022 A* conf
Additive Gaussian Processes Revisited.
ICML
Xiaoyu Lu, Alexis Boukouvalas, James Hensman
2022 J jnl
Additive Gaussian Processes Revisited.
CoRR
Xiaoyu Lu, Alexis Boukouvalas, James Hensman
2021 J jnl
Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments.
Bioinform.
Nuha Bintayyash, Sokratia Georgaka, S. T. John, Sumon Ahmed, Alexis Boukouvalas, James Hensman, Magnus Rattray
2021 A conf
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain.
AISTATS
Fergus Simpson, Alexis Boukouvalas, Václav Cadek, Elvijs Sarkans, Nicolas Durrande
2021 J jnl
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain.
CoRR
Fergus Simpson, Alexis Boukouvalas, Václav Cadek, Elvijs Sarkans, Nicolas Durrande
2020 A conf
Enriched mixtures of generalised Gaussian process experts.
AISTATS
Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas
2020 J jnl
OscoNet: inferring oscillatory gene networks.
BMC Bioinform.
Luisa Cutillo, Alexis Boukouvalas, Elli Marinopoulou, Nancy Papalopulu, Magnus Rattray
2019 A* conf
Adaptive Sensor Placement for Continuous Spaces.
ICML
James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote
2019 J jnl
Adaptive Sensor Placement for Continuous Spaces.
CoRR
James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote
2019 — conf
Decision Variance in Risk-Averse Online Learning.
CDC
Sattar Vakili, Alexis Boukouvalas, Qing Zhao
2019 J jnl
Enriched Mixtures of Gaussian Process Experts.
CoRR
Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas
2019 J jnl
GrandPrix: scaling up the Bayesian GPLVM for single-cell data.
Bioinform.
Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas
2018 J jnl
Decision Variance in Online Learning.
CoRR
Sattar Vakili, Alexis Boukouvalas
2017 J jnl
GPflow: A Gaussian Process Library using TensorFlow.
J. Mach. Learn. Res.
Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, James Hensman
2016 Misc conf
Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction.
UbiComp
Yordan P. Raykov, Emre Ozer, Ganesh Dasika, Alexis Boukouvalas, Max A. Little
2014 J jnl
An Efficient Screening Method for Computer Experiments.
Technometrics
Alexis Boukouvalas, John Paul Gosling, Hugo Maruri-Aguilar
2014 J jnl
Bayesian Precalibration of a Large Stochastic Microsimulation Model.
IEEE Trans. Intell. Transp. Syst.
Alexis Boukouvalas, Pete Sykes, Dan Cornford, Hugo Maruri-Aguilar
2014 J jnl
Optimal design for correlated processes with input-dependent noise.
Comput. Stat. Data Anal.
Alexis Boukouvalas, Dan Cornford, Milan Stehlík
2012 A* conf
Gaussian Process Quantile Regression using Expectation Propagation.
ICML
Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford
2012 J jnl
Gaussian Process Quantile Regression using Expectation Propagation.
CoRR
Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford
2010 — —
Emulation of random output simulators.
Alexis Boukouvalas