2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2024
Bayesian Calibration for Prediction in a Multi-Output Transposition Context
Charlie Sire, Josselin Garnier, Cédric Durantin +3
Numerical simulations are widely used to predict the behavior of physical systems, with Bayesian approaches being particularly well suited for this purpose. However, experimental o…
math.OC2021★ 2 cited
A comparison of mixed-variables Bayesian optimization approaches
Jhouben Cuesta-Ramirez, Rodolphe Le Riche, Olivier Roustant +3
Most real optimization problems are defined over a mixed search space where the variables are both discrete and continuous. In engineering applications, the objective function is t…