1 citations · 1 across the 1 of their papers we have counts for
5 papers
Shapes enhancing the propulsion of multiflagellated helical microswimmers
Luca Berti, Mickaël Binois, François Alouges +3
In this paper we are interested in optimizing the shape of multi-flagellated helical microswimmers. Mimicking the propagation of helical waves along the flagella, they self-propel…
Sequential Learning of Active Subspaces
Nathan Wycoff, Mickael Binois, Stefan M. Wild
In recent years, active subspace methods (ASMs) have become a popular means of performing subspace sensitivity analysis on black-box functions. Naively applied, however, ASMs requi…
The Kalai-Smorodinski solution for many-objective Bayesian optimization
Mickaël Binois, Victor Picheny, Patrick Taillandier +1
An ongoing aim of research in multiobjective Bayesian optimization is to extend its applicability to a large number of objectives. While coping with a limited budget of evaluations…
On-site surrogates for large-scale calibration
Jiangeng Huang, Robert B. Gramacy, Mickael Binois +1
Motivated by a computer model calibration problem from the oil and gas industry, involving the design of a honeycomb seal, we develop a new Bayesian methodology to cope with limita…
Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation
Xiong Lyu, Mickael Binois, Michael Ludkovski
We consider the problem of learning the level set for which a noisy black-box function exceeds a given threshold. To efficiently reconstruct the level set, we investigate Gaussian…