Quantifying uncertainty on Pareto fronts with Gaussian Process conditional simulations
Mickaël Binois
,
David Ginsbourger
,
Olivier Roustant
Journal articles
hal-00904811v2
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On the choice of the low-dimensional domain for global optimization via random embeddings
Mickaël Binois
,
David Ginsbourger
,
Olivier Roustant
Journal articles
hal-01508196v2
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Sequential Learning of Active Subspaces
Nathan Wycoff
,
Mickael Binois
,
Stefan M. Wild
Journal articles
hal-02367750v1
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CAD-Consistent Aerodynamic Design via the Isogeometric Paradigm
Stefano Pezzano
,
Régis Duvigneau
,
Mickael Binois
56th 3AF International Conference on Applied Aerodynamics , Mar 2022, Toulouse, France
Conference papers
hal-03867219v1
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Inverse modeling to estimate methane surface emission with optimization and reduced models: application of waste landfill plants
Mireille Batton-Hubert
,
Mickaël Binois
,
Espéran Padonou
13th Annual Conference of the European Network for Business and Industrial , Sep 2013, Ankara, Turkey
Conference papers
emse-00849417v1
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GPareto: An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis
Mickael Binois
,
Victor Picheny
Journal articles
hal-02623482v1
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Statistical learning multiobjective optimization for large-scale achromatic metalens at visible regime
Mahmoud M R Elsawy
,
Mickael Binois
,
Régis Duvigneau
,
Stéphane Lanteri
,
Patrice Genevet
Conference papers
hal-03357023v1
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Coupling geometry and simulation for aerodynamic shape optimisation: an isogeometric approach
Stefano Pezzano
,
Régis Duvigneau
,
Mickael Binois
International Conference on Coupled Problems in Science and Engineering , Jun 2021, Cagliari, Italy
Conference papers
hal-03428714v1
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Sensitivity Prewarping for Local Surrogate Modeling
Nathan Wycoff
,
Mickael Binois
,
Robert Gramacy
Journal articles
hal-03473366v1
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A game theoretic perspective on Bayesian multi-objective optimization
Mickael Binois
,
Abderrahmane Habbal
,
Victor Picheny
Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present Challenges, and Future Perspectives , 2023, 978-3-031-25263-1.
⟨10.1007/978-3-031-25263-1_11⟩
Book sections
hal-03206174v1
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A Fully Integrated Geometry-Simulation-Optimization Framework via NURBS Representations with Application to Airfoil Morphing
Stefano Pezzano
,
Régis Duvigneau
,
Mickael Binois
Methods, Tools and Technologies for Design in Aviation , Nov 2021, Barcelona, Spain
Conference papers
hal-03428773v1
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A population data-driven workflow for COVID-19 modeling and learning
Jonathan Ozik
,
Justin Wozniak
,
Nicholson Collier
,
Charles Macal
,
Mickael Binois
Journal articles
hal-03473359v1
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The Kalai-Smorodinski solution for many-objective Bayesian optimization
Mickaël Binois
,
Victor Picheny
,
Patrick Taillandier
,
Abderrahmane Habbal
Journal of Machine Learning Research , 2020, 21 (150), pp.1-42
Journal articles
hal-01656393v3
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hetGP: Heteroskedastic Gaussian Process Modeling and Sequential Design in R
Mickael Binois
,
Robert B. Gramacy
Journal articles
hal-02414688v1
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A warped kernel improving robustness in Bayesian optimization via random embeddings
Mickaël Binois
,
David Ginsbourger
,
Olivier Roustant
Learning and Intelligent Optimization: 9th International Conference, LION 9. Revised Selected Papers , Jan 2015, Lille, France.
⟨10.1007/978-3-319-19084-6_28⟩
Conference papers
hal-01078003v2
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Uncertainty quantification on pareto fronts and high-dimensional strategies in bayesian optimization, with applications in multi-objective automotive design
Mickaël Binois
General Mathematics [math.GM]. Ecole Nationale Supérieure des Mines de Saint-Etienne, 2015. English.
⟨NNT : 2015EMSE0805⟩
Theses
tel-01310521v1
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Revisiting Multi-Label Propagation: the Case of Small Data
Khadija Musayeva
,
Mickael Binois
2022
Preprints, Working Papers, ...
hal-03914733v1
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A survey on high-dimensional Gaussian process modeling with application to Bayesian optimization
Mickael Binois
,
Nathan Wycoff
ACM Transactions on Evolutionary Learning and Optimization , 2022, 2 (2)
Journal articles
hal-03419959v2
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Geometrically Consistent Aerodynamic Optimization using an Isogeometric Discontinuous Galerkin Method
Stefano Pezzano
,
Régis Duvigneau
,
Mickael Binois
Computers & Mathematics with Applications , 2022, 128
Journal articles
hal-03670109v2
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Application des copules à l'estimation de fronts de Pareto
Mickaël Binois
,
Didier Rullière
,
Olivier Roustant
47èmes Journées de Statistique de la SFdS , Société Française de Statistique, Jun 2015, Lille, France
Conference papers
emse-01152513v1
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Multiobjective statistical learning optimization of RGB metalens
Mahmoud M R Elsawy
,
Anthony Gourdin
,
Mickael Binois
,
Régis Duvigneau
,
Didier Felbacq
,
et al.
Journal articles
hal-03212349v2
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Advanced numerical modeling methods for the characterization and optimization of metasurfaces
Mickael Binois
,
Régis Duvigneau
,
Mahmoud M. R. Elsawy
,
P. Genevet
,
Samira Kadhir
,
et al.
Conference papers
hal-03925477v1
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Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation
Xiong Lyu
,
Mickael Binois
,
Michael Ludkovski
Journal articles
hal-03124928v1
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Shapes enhancing the propulsion of multiflagellated helical microswimmers
Luca Berti
,
Mickael Binois
,
François Alouges
,
Matthieu Aussal
,
Christophe Prud'Homme
,
et al.
2021
Preprints, Working Papers, ...
hal-03166010v1
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Heteroskedastic Gaussian processes for simulation experiments
Mickael Binois
UQSay #01 , Mar 2019, Saclay, France
Conference papers
hal-03109919v1
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Validation of calibration strategies for macroscopic traffic flow models on synthetic data
Alexandra Würth
,
Mickael Binois
,
Paola Goatin
8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS 2023) , Jun 2023, Saint-Laurent-Du-Var, France
Conference papers
hal-04197769v1
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Data driven uncertainty quantification in macroscopic traffic flow models
Alexandra Würth
,
Mickael Binois
,
Paola Goatin
,
Simone Göttlich
Advances in Computational Mathematics , 2022, 48
Journal articles
hal-03202124v2
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A portfolio approach to massively parallel Bayesian optimization
Mickael Binois
,
Nicholson Collier
,
Jonathan Ozik
2023
Preprints, Working Papers, ...
hal-03383097v3
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Solving Kalai-Smorodinski Equilibria Using Gaussian Process Regression
Victor Picheny
,
Mickaël Binois
,
Abderrahmane Habbal
ENBIS 2017 - 17th Annual Conference of the European Network for Business and Industrial Statistics , Sep 2017, Naples, Italy
Conference papers
hal-01656366v1
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A Bayesian optimization approach to find Nash equilibria
Victor Picheny
,
Mickaël Binois
,
Abderrahmane Habbal
Journal articles
hal-01944524v1
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