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ORCIDOlivier Roustant
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2020 – today
- 2024
[j25]Olivier Roustant, Nora Lüthen, Fabrice Gamboa:
Spectral decomposition of H1(μ) and Poincaré inequality on a compact interval - Application to kernel quadrature. J. Approx. Theory 301: 106041 (2024)- 2023
- [j24]Iain Henderson
, Pascal Noble, Olivier Roustant:
Covariance models and Gaussian process regression for the wave equation. Application to related inverse problems. J. Comput. Phys. 494: 112519 (2023) - 2022
- [j23]Jhouben Cuesta-Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin, Alain Glière:
A comparison of mixed-variables Bayesian optimization approaches. Adv. Model. Simul. Eng. Sci. 9(1): 6 (2022) - [j22]Jérémy Rohmer, Olivier Roustant, Sophie Lecacheux, Jean-Charles Manceau:
Revealing the interlevel dependence structure of categorical inputs in numerical environmental simulations with kernel model selection. Environ. Model. Softw. 151: 105380 (2022) - [j21]François Bachoc, Andrés F. López-Lopera, Olivier Roustant:
Sequential Construction and Dimension Reduction of Gaussian Processes Under Inequality Constraints. SIAM J. Math. Data Sci. 4(2): 772-800 (2022) - [c3]Andrés F. López-Lopera, François Bachoc, Olivier Roustant:
High-dimensional Additive Gaussian Processes under Monotonicity Constraints. NeurIPS 2022 - [i6]Andrés F. López-Lopera, François Bachoc, Olivier Roustant:
High-dimensional additive Gaussian processes under monotonicity constraints. CoRR abs/2205.08528 (2022) - 2021
- [j20]T. V. Elodie Perrin, Olivier Roustant, Jérémy Rohmer, Olivier Alata, J. P. Naulin, Déborah Idier, Rodrigo Pedreros, D. Moncoulon, P. Tinard:
Functional principal component analysis for global sensitivity analysis of model with spatial output. Reliab. Eng. Syst. Saf. 211: 107522 (2021) - [i5]Nora Lüthen, Olivier Roustant, Fabrice Gamboa, Bertrand Iooss, Stefano Marelli, Bruno Sudret:
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions. CoRR abs/2107.00394 (2021) - [i4]Jhouben Cuesta-Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin, Alain Glière:
A comparison of mixed-variables Bayesian optimization approaches. CoRR abs/2111.01533 (2021) - 2020
- [j19]Mickaël Binois, David Ginsbourger, Olivier Roustant:
On the choice of the low-dimensional domain for global optimization via random embeddings. J. Glob. Optim. 76(1): 69-90 (2020) - [j18]Olivier Roustant, Esperan Padonou, Yves Deville, Aloïs Clément, Guillaume Perrin, Jean Giorla, Henry P. Wynn:
Group Kernels for Gaussian Process Metamodels with Categorical Inputs. SIAM/ASA J. Uncertain. Quantification 8(2): 775-806 (2020)
2010 – 2019
- 2019
- [j17]Malek Ben Salem, François Bachoc, Olivier Roustant, Fabrice Gamboa, Lionel Tomaso:
Gaussian Process-Based Dimension Reduction for Goal-Oriented Sequential Design. SIAM/ASA J. Uncertain. Quantification 7(4): 1369-1397 (2019) - [j16]Jana Fruth, Olivier Roustant, Sonja Kuhnt:
Support indices: Measuring the effect of input variables over their supports. Reliab. Eng. Syst. Saf. 187: 17-27 (2019) - [i3]Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant:
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC. CoRR abs/1901.04827 (2019) - 2018
- [j15]Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant:
Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints. SIAM/ASA J. Uncertain. Quantification 6(3): 1224-1255 (2018) - 2017
- [j14]Malek Ben Salem, Olivier Roustant, Fabrice Gamboa, Lionel Tomaso:
Universal Prediction Distribution for Surrogate Models. SIAM/ASA J. Uncertain. Quantification 5(1): 1086-1109 (2017) - [j13]Thomas Mühlenstädt, Jana Fruth, Olivier Roustant:
Computer experiments with functional inputs and scalar outputs by a norm-based approach. Stat. Comput. 27(4): 1083-1097 (2017) - [i2]Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant:
Finite-dimensional Gaussian approximation with linear inequality constraints. CoRR abs/1710.07453 (2017) - 2016
- [j12]Esperan Padonou, Olivier Roustant:
Polar Gaussian Processes and Experimental Designs in Circular Domains. SIAM/ASA J. Uncertain. Quantification 4(1): 1014-1033 (2016) - 2015
- [j11]Mickaël Binois, David Ginsbourger, Olivier Roustant:
Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations. Eur. J. Oper. Res. 243(2): 386-394 (2015) - [j10]Mickaël Binois, Didier Rullière, Olivier Roustant:
On the estimation of Pareto fronts from the point of view of copula theory. Inf. Sci. 324: 270-285 (2015) - [j9]Esperan Padonou, Olivier Roustant, Michel Lutz:
Robust Monitoring of an Industrial IT System in the Presence of Structural Change. Qual. Reliab. Eng. Int. 31(6): 949-962 (2015) - [j8]Jana Fruth, Olivier Roustant, Sonja Kuhnt:
Sequential designs for sensitivity analysis of functional inputs in computer experiments. Reliab. Eng. Syst. Saf. 134: 260-267 (2015) - [c2]Mickaël Binois, David Ginsbourger, Olivier Roustant:
A Warped Kernel Improving Robustness in Bayesian Optimization Via Random Embeddings. LION 2015: 281-286 - 2014
- [j7]Olivier Roustant, Jana Fruth, Bertrand Iooss, Sonja Kuhnt:
Crossed-derivative based sensitivity measures for interaction screening. Math. Comput. Simul. 105: 105-118 (2014) - [c1]David Ginsbourger, Olivier Roustant, Dominic Schuhmacher, Nicolas Durrande, Nicolas Lenz:
On ANOVA Decompositions of Kernels and Gaussian Random Field Paths. MCQMC 2014: 315-330 - 2013
- [j6]Michel Lutz, Xavier Boucher, Olivier Roustant:
Methods and applications for IT capacity decisions: Bringing management frameworks into practice. J. Decis. Syst. 22(4): 332-355 (2013) - [j5]Nicolas Durrande, David Ginsbourger, Olivier Roustant, Laurent Carraro:
ANOVA kernels and RKHS of zero mean functions for model-based sensitivity analysis. J. Multivar. Anal. 115: 57-67 (2013) - 2012
- [j4]Michel Lutz, Xavier Boucher, Olivier Roustant:
Information Technologies capacity planning in manufacturing systems: Proposition for a modelling process and application in the semiconductor industry. Comput. Ind. 63(7): 659-668 (2012) - [j3]Michel Lutz, Xavier Boucher, Olivier Roustant, M. Girard:
Couplage entre système de production industriel et technologies de l'information. Modélisation et création de connaissance. Ingénierie des Systèmes d Inf. 17(4): 95-117 (2012) - [j2]Thomas Mühlenstädt, Olivier Roustant, Laurent Carraro, Sonja Kuhnt:
Data-driven Kriging models based on FANOVA-decomposition. Stat. Comput. 22(3): 723-738 (2012)
2000 – 2009
- 2009
- [j1]Amandine Marrel, Bertrand Iooss, Béatrice Laurent, Olivier Roustant:
Calculations of Sobol indices for the Gaussian process metamodel. Reliab. Eng. Syst. Saf. 94(3): 742-751 (2009) - 2008
- [i1]Jessica Franco, Laurent Carraro, Olivier Roustant, Astrid Jourdan:
A Radar-Shaped Statistic for Testing and Visualizing Uniformity Properties in Computer Experiments. CoRR abs/0802.2158 (2008)
Coauthor Index
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