184 citations · 318 across the 26 of their papers we have counts for
3 papers · 2 filters
Gearing Gaussian process modeling and sequential design towards stochastic simulators
Mickael Binois, Arindam Fadikar, Abby Stevens
This chapter presents specific aspects of Gaussian process modeling in the presence of complex noise. Starting from the standard homoscedastic model, various generalizations from t…
Parametric Shape Optimization of Flagellated Micro-Swimmers Using Bayesian Techniques
Lucas Palazzolo, Laëtitia Giraldi, Mickael Binois +1
Understanding and optimizing the design of helical micro-swimmers is crucial for advancing their application in various fields. This study presents an innovative approach combining…
Combining additivity and active subspaces for high-dimensional Gaussian process modeling
Mickael Binois, Victor Picheny
Gaussian processes are a widely embraced technique for regression due to their good prediction accuracy, analytical tractability, and built-in capabilities for uncertainty quantifi…