Olivier Le Maı̂tre

École Polytechnique — France

Decision Sciences · Social Sciences

33h-index6.9kcitations246works0.12yr avg
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Research Topics

Probabilistic and Robust Engineering Design(91), Wind and Air Flow Studies(31), Computational Fluid Dynamics and Aerodynamics(21), Model Reduction and Neural Networks(21), Advanced Multi-Objective Optimization Algorithms(19)

Publications246 total

Error-Based mesh selection for efficient numerical simulations with variable parameters
SSRN Electronic Journal·2026Open Access
A sequential Bayesian approach to Gaussian process quantile regression for optimization
SPIRE - Sciences Po Institutional REpository·2025Open Access
Debiased Multifidelity Approach to Surrogate Modeling in Aerospace Applications
Journal of Aircraft·2025Open Access
Mean mesh adaptation for efficient CFD simulations with operating conditions variability
Computers & Fluids·2025Open Access
Identification of moving sources in stochastic flow fields: A bayesian inferential approach with application to marine traffic in the mediterranean sea
Computational Geosciences·2025
Change of measure for Bayesian field inversion with hierarchical hyperparameters sampling
Journal of Computational Physics·2025Open Access
Stochastic Tangential Pareto Dynamics Provably Samples the Whole Pareto Set
SPIRE - Sciences Po Institutional REpository·2025Open Access
EFFICIENT TREATMENT OF THE MODEL ERROR IN THE CALIBRATION OF COMPUTER CODES: THE COMPLETE MAXIMUM A POSTERIORI METHOD
International Journal for Uncertainty Quantification·2025Open Access
Autoregressive Multiplier Bootstrap for In-situ Error Estimation and Quality Monitoring of Finite Time Averages in Turbulent Flow Simulations
SSRN Electronic Journal·2025Open Access
Mean Mesh Adaptation for Efficient CFD Simulations with Operating Conditions Variability
arXiv (Cornell University)·2024Open Access
Ensemble Data Assimilation for Particle-based Methods
arXiv (Cornell University)·2024Open Access
Adaptation de maillage moyenne pour des simulations CFD avec conditions d'écoulement variables
SPIRE - Sciences Po Institutional REpository·2024Open Access
Artificial Neural Networks for UQ and calibration of one-dimensional arterial hemodynamics
SPIRE - Sciences Po Institutional REpository·2024Open Access
Sampling and Estimating the Set of Pareto Optimal Solutions in Stochastic Multi-Objective Optimization
SPIRE - Sciences Po Institutional REpository·2024Open Access
Iterative data-driven construction of surrogates for an efficient Bayesian identification of oil spill source parameters from image contours
Computational Geosciences·2024· 1 cited
Change of Measure for Bayesian Field Inversion with Hierarchical Hyperparameters Sampling
arXiv (Cornell University)·2024Open Access
Preconditioners based on Voronoi quantizers of random variable coefficients for stochastic elliptic partial differential equations
arXiv (Cornell University)·2024Open Access
Transverse Brownian Motion for Pareto Front Identification
HAL (Le Centre pour la Communication Scientifique Directe)·2024Open Access
Mean Mesh Adaptation for Efficient Cfd Simulations with Operating Conditions Variability
SSRN Electronic Journal·2024Open Access
Change of Measure for Bayesian Field Inversion with Hierarchical Hyperparameters Sampling
SSRN Electronic Journal·2024Open Access
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Frequent Co-authors

Omar Knio(18), Habib N. Najm(14), Omar M. Knio(12), Roger Ghanem(10), Bert Debusschere(8), Ibrahim Hoteit(6), Alexandre Ern(4), Clint Dawson(4), Matthew T. Reagan(3), Julie Tryoen(3), Philippe Pébaÿ(2), Anthony Nouy(2), Michaël Ndjinga(2), Lionel Mathelin(2), Pierre Sochala(2), Mohamed Iskandarani(2), Justin Winokur(2), Kyle T. Mandli(2), Khachik Sargsyan(2), Alen Alexanderian(2)