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authIdHal_s : mbinois
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Quantifying uncertainty on Pareto fronts with Gaussian Process conditional simulations

Mickaël Binois , David Ginsbourger , Olivier Roustant
European Journal of Operational Research, 2015, 243 (2), pp.386-394. ⟨10.1016/j.ejor.2014.07.032⟩
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 of Global Optimization, 2020, 76, pp.69-90. ⟨10.1007/s10898-019-00839-1⟩
Journal articles hal-01508196v2

Sequential Learning of Active Subspaces

Nathan Wycoff , Mickael Binois , Stefan M. Wild
Journal of Computational and Graphical Statistics, 2021, ⟨10.1080/10618600.2021.1874962⟩
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

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 of Statistical Software, 2019, 89 (8), ⟨10.18637/jss.v089.i08⟩
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
CLEO, Laser Science to Photonic Applications, May 2021, San Jose, California (web conference format), United States. ⟨10.1364/CLEO_QELS.2021.FTh2M.3⟩
Conference papers hal-03357023v1

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

Sensitivity Prewarping for Local Surrogate Modeling

Nathan Wycoff , Mickael Binois , Robert Gramacy
Technometrics, 2022, 64 (4), pp.535. ⟨10.1080/00401706.2022.2046170⟩
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

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

A population data-driven workflow for COVID-19 modeling and learning

Jonathan Ozik , Justin Wozniak , Nicholson Collier , Charles Macal , Mickael Binois
International Journal of High Performance Computing Applications, 2021, 35 (5), pp.483-499. ⟨10.1177/10943420211035164⟩
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 of Statistical Software, 2021, 98 (13), pp.1--44. ⟨10.18637/jss.v098.i13⟩
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
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

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.
ACS photonics, 2021, 8 (8), pp.2498-2508. ⟨10.1021/acsphotonics.1c00753⟩
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.
3rd URSI Atlantic / Asia-Pacific Radio Science Meeting - 2022, May 2022, Gran Canaria, Spain. pp.1-4, ⟨10.23919/AT-AP-RASC54737.2022.9814395⟩
Conference papers hal-03925477v1

Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation

Xiong Lyu , Mickael Binois , Michael Ludkovski
Statistics and Computing, 2021, 31 (43), ⟨10.1007/s11222-021-10014-w⟩
Journal articles hal-03124928v1

Shapes enhancing the propulsion of multiflagellated helical microswimmers

Luca Berti , Mickael Binois , François Alouges , Matthieu Aussal , Christophe Prud'Homme , et al.
Preprints, Working Papers, ... hal-03166010v1

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
Preprints, Working Papers, ... hal-03383097v3

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 of Global Optimization, 2019, 73 (1), pp.171 - 192. ⟨10.1007/s10898-018-0688-0⟩
Journal articles hal-01944524v1