Serge Guillas - RankMe

13 papers A 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multi-fidelity Batch Active Learning for Gaussian Process Classifiers. CoRR Murray Cutforth, Yiming Yang, Tiffany Fan, Serge Guillas, Eric Darve
2024	J	`jnl`	Embedding machine-learnt sub-grid variability improves climate model biases. CoRR Daniel Giles, James Briant, Cyril Morcrette, Serge Guillas
2023	J	`jnl`	Deep Gaussian Process Emulation using Stochastic Imputation. Technometrics Deyu Ming, Daniel B. Williamson, Serge Guillas
2023	A	`conf`	Multilevel Bayesian Quadrature. AISTATS Kaiyu Li, Daniel Giles, Toni Karvonen, Serge Guillas, François-Xavier Briol
2021	J	`jnl`	Deep Gaussian Process Emulation using Stochastic Imputation. CoRR Deyu Ming, Daniel B. Williamson, Serge Guillas
2021	J	`jnl`	Linked Gaussian Process Emulation for Systems of Computer Models Using Matérn Kernels and Adaptive Design. SIAM/ASA J. Uncertain. Quantification Deyu Ming, Serge Guillas
2020	J	`jnl`	Performance analysis of Volna-OP2 - massively parallel code for tsunami modelling. CoRR Daniel Giles, Eugene Kashdan, Dimitra M. Salmanidou, Serge Guillas, Frédéric Dias
2017	J	`jnl`	Dimension Reduction for Gaussian Process Emulation: An Application to the Influence of Bathymetry on Tsunami Heights. SIAM/ASA J. Uncertain. Quantification Xiaoyu Liu, Serge Guillas
2016	J	`jnl`	Efficiency in multivariate functional nonparametric models with autoregressive errors. J. Multivar. Anal. Sophie Dabo-Niang, Serge Guillas, Camille Ternynck
2016	J	`jnl`	Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model. SIAM/ASA J. Uncertain. Quantification Joakim Beck, Serge Guillas
2010	J	`jnl`	Functional semiparametric partially linear model with autoregressive errors. J. Multivar. Anal. Sophie Dabo-Niang, Serge Guillas
2009	J	`jnl`	Expert Knowledge and Multivariate Emulation: The Thermosphere-Ionosphere Electrodynamics General Circulation Model (TIE-GCM). Technometrics Jonathan Rougier, Serge Guillas, Astrid Maute, Arthur D. Richmond
2005	J	`jnl`	Functional Samples and Bootstrap for Predicting Sulfur Dioxide Levels. Technometrics Belén Fernández de Castro, Serge Guillas, Wenceslao González-Manteiga