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ORCIDAlexis Boukouvalas
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2020 – today
- 2023
[j8]Elvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas:
Modelling sequential branching dynamics with a multivariate branching Gaussian process. Trans. Mach. Learn. Res. 2023 (2023)- 2022
- [c7]Xiaoyu Lu, Alexis Boukouvalas, James Hensman:
Additive Gaussian Processes Revisited. ICML 2022: 14358-14383 - [i6]Xiaoyu Lu, Alexis Boukouvalas, James Hensman:
Additive Gaussian Processes Revisited. CoRR abs/2206.09861 (2022) - 2021
- [j7]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): 3788-3795 (2021) - [c6]Fergus Simpson, Alexis Boukouvalas, Václav Cadek, Elvijs Sarkans, Nicolas Durrande:
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain. AISTATS 2021: 1945-1953 - [i5]Fergus Simpson, Alexis Boukouvalas, Václav Cadek, Elvijs Sarkans, Nicolas Durrande:
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain. CoRR abs/2103.06950 (2021) - 2020
- [j6]Luisa Cutillo, Alexis Boukouvalas, Elli Marinopoulou, Nancy Papalopulu, Magnus Rattray:
OscoNet: inferring oscillatory gene networks. BMC Bioinform. 21-S(10): 351 (2020) - [c5]Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas:
Enriched mixtures of generalised Gaussian process experts. AISTATS 2020: 3144-3154
2010 – 2019
- 2019
- [j5]Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas:
GrandPrix: scaling up the Bayesian GPLVM for single-cell data. Bioinform. 35(1): 47-54 (2019) - [c4]Sattar Vakili, Alexis Boukouvalas, Qing Zhao:
Decision Variance in Risk-Averse Online Learning. CDC 2019: 2738-2744 - [c3]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: 2385-2393 - [i4]James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote:
Adaptive Sensor Placement for Continuous Spaces. CoRR abs/1905.06821 (2019) - [i3]Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas:
Enriched Mixtures of Gaussian Process Experts. CoRR abs/1905.12969 (2019) - 2018
- [i2]Sattar Vakili, Alexis Boukouvalas:
Decision Variance in Online Learning. CoRR abs/1807.09089 (2018) - 2017
- [j4]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: 40:1-40:6 (2017) - 2016
- [c2]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: 1016-1027 - 2014
- [j3]Alexis Boukouvalas, Dan Cornford, Milan Stehlík:
Optimal design for correlated processes with input-dependent noise. Comput. Stat. Data Anal. 71: 1088-1102 (2014) - [j2]Alexis Boukouvalas, John Paul Gosling, Hugo Maruri-Aguilar:
An Efficient Screening Method for Computer Experiments. Technometrics 56(4): 422-431 (2014) - [j1]Alexis Boukouvalas, Pete Sykes, Dan Cornford, Hugo Maruri-Aguilar:
Bayesian Precalibration of a Large Stochastic Microsimulation Model. IEEE Trans. Intell. Transp. Syst. 15(3): 1337-1347 (2014) - 2012
- [c1]Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford:
Gaussian Process Quantile Regression using Expectation Propagation. ICML 2012 - [i1]Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford:
Gaussian Process Quantile Regression using Expectation Propagation. CoRR abs/1206.6391 (2012) - 2010
- [b1]Alexis Boukouvalas:
Emulation of random output simulators. Aston University, Birmingham, UK, 2010
Coauthor Index
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