Functional Samples and Bootstrap for Predicting Sulfur Dioxide Levels. - Belén Fernández de Castro; Serge Guillas; Wenceslao González-Manteiga (Technometrics, 2005)

Expert Knowledge and Multivariate Emulation: The Thermosphere-Ionosphere Electrodynamics General Circulation Model (TIE-GCM). - Jonathan Rougier; Serge Guillas; Astrid Maute; Arthur D. Richmond (Technometrics, 2009)

Functional semiparametric partially linear model with autoregressive errors. - Sophie Dabo-Niang; Serge Guillas (J. Multivar. Anal., 2010)

Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model. - Joakim Beck; Serge Guillas (SIAM/ASA J. Uncertain. Quantification, 2016)

Efficiency in multivariate functional nonparametric models with autoregressive errors. - Sophie Dabo-Niang; Serge Guillas; Camille Ternynck (J. Multivar. Anal., 2016)

Dimension Reduction for Gaussian Process Emulation: An Application to the Influence of Bathymetry on Tsunami Heights. - Xiaoyu Liu; Serge Guillas (SIAM/ASA J. Uncertain. Quantification, 2017)

Performance analysis of Volna-OP2 - massively parallel code for tsunami modelling. - Daniel Giles; Eugene Kashdan; Dimitra M. Salmanidou; Serge Guillas; Frédéric Dias (CoRR, 2020)

Linked Gaussian Process Emulation for Systems of Computer Models Using Matérn Kernels and Adaptive Design. - Deyu Ming; Serge Guillas (SIAM/ASA J. Uncertain. Quantification, 2021)

Multilevel Bayesian Quadrature. - Kaiyu Li; Daniel Giles; Toni Karvonen; Serge Guillas; François-Xavier Briol (AISTATS, 2023)

Deep Gaussian Process Emulation using Stochastic Imputation. - Deyu Ming; Daniel B. Williamson; Serge Guillas (Technometrics, 2023)

Embedding machine-learnt sub-grid variability improves climate model biases. - Daniel Giles; James Briant; Cyril Morcrette; Serge Guillas (CoRR, 2024)