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David Gaudrie
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Targeting solutions in Bayesian multi-objective optimization: sequential and batch versions
D Gaudrie, R Le Riche, V Picheny, B Enaux, V Herbert
Annals of Mathematics and Artificial Intelligence 88, 187-212, 2020
33*2020
Modeling and optimization with Gaussian processes in reduced eigenbases
D Gaudrie, R Le Riche, V Picheny, B Enaux, V Herbert
Structural and Multidisciplinary Optimization 61, 2343-2361, 2020
222020
Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front--Extended Version
D Gaudrie, RL Riche, V Picheny, B Enaux, V Herbert
arXiv preprint arXiv:1809.10482, 2018
112018
Spatially regularized fusion of multiresolution digital surface models
G Kuschk, P d’Angelo, D Gaudrie, P Reinartz, D Cremers
IEEE Transactions on Geoscience and Remote Sensing 55 (3), 1477-1488, 2016
112016
Combination of optimization-free kriging models for high-dimensional problems
T Appriou, D Rullière, D Gaudrie
Computational Statistics, 1-23, 2023
42023
From CAD to eigenshapes for surrogate-based optimization
D Gaudrie, R Le Riche, V Picheny, B Enaux, V Herbert
13th World Congress of Structural and Multidisciplinary Optimization, 2019
42019
High-Dimensional Bayesian Multi-Objective Optimization
D Gaudrie
Université de Lyon, 2019
32019
High-dimensional Bayesian Optimization with a Combination of Kriging models
T Appriou, D Rullière, D Gaudrie
12024
Combination of High-Dimensional Kriging Sub-models
T Appriou, D Rullière, D Gaudrie
working paper or preprint, 2022
12022
Targeting well-balanced solutions in multi-objective Bayesian optimization under a restricted budget
V Picheny, D Gaudrie, R Le Riche, B Enaux, V Herbert
International Conference on Learning and Intelligent Optimization (LION'18 …, 2018
12018
An Empirical Case of Gaussian Processes Learning in High Dimension: the Likelihood versus Leave-One-Out Rivalry
D Gaudrie, R Le Riche, T Appriou
SIAM Conference on Uncertainty Quantification (UQ24), 2024
2024
Activity report ciroquo research & industry consortium
C Blanchet-Scalliet, C Helbert, D Sinoquet, R Le Riche, D Rullière, ...
Ecole Centrale de Lyon, 2024
2024
Bayesian Optimization for High-Dimensional Problems
J scientifiques CIROQUO, T APPRIOU, D GAUDRIE, D RULLIERE
2023
Bayesian Optimization For High-Dimensional Problems Using A Combination Of Kriging Surrogate Models
T Appriou, D Gaudrie, D Rullière
Journées Scientifiques du CIROQUO, 2023
2023
Bayesian Optimization in High-dimension via a Combination of Kriging sub-models
T Appriou, D Rullière, D Gaudrie
MASCOT-NUM2023, 2023
2023
Which Gaussian Process for Bayesian Optimization?
R Le Riche, D Gaudrie, V Picheny, Y Diouane, A Spagnol, S Da Veiga
2022 Optimization Days, 2022
2022
A discussion of the current and potential uses of Gaussian Processes in mechanics
R Le Riche, D Gaudrie, J Cuesta-Ramirez, SBE Salah, O Roustant, ...
Journée scientifique de la SF2M: matériau numérique, 2022
2022
Reducing dimension in Bayesian Optimization
R Le Riche, A Spagnol, D Gaudrie, S Da Veiga, V Picheny
LIMOS internal seminar, 2020
2020
Bayesian Optimization in Reduced Eigenbases
D Gaudrie, R Le Riche, V Picheny, B Enaux, V Herbert
PGMO Days 2019, 2019
2019
Budgeted Bayesian Multiobjective Optimization
D Gaudrie, R Le Riche, V Picheny, B Enaux, V Herbert
Journées de la Chaire Oquaido 2019, 2019
2019
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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