Mickaël Binois

Identifiants chercheurs

IdHAL :

mbinois

ORCID :

0000-0002-7225-1680

IdRef :

192953540

Publications

HDR (1)

Contributions to the scaling of Gaussian process metamodeling and Bayesian optimization Mickael Binois Methodology [stat.ME]. Université Cote d'Azur, 2026 HDR tel-05603829v1

Pré-publication, Document de travail (9)

Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions Mickael Binois,Jeffrey Larson 2026 Pré-publication, Document de travail hal-05049210v2
Optimal Control of Microswimmers for Trajectory Tracking Using Bayesian Optimization Lucas Palazzolo,Mickaël Binois,Laëtitia Giraldi 2026 Pré-publication, Document de travail hal-05504613v1
Non-Locally Controllable but Trackable Magnetic Head Flagellated Swimmer Lucas Palazzolo,Mickaël Binois,Laëtitia Giraldi 2025 Pré-publication, Document de travail hal-05348147v1
Modular Jump Gaussian Processes Anna Flowers,Christopher Franck,Mickaël Binois,Chiwoo Park,Robert Gramacy 2025 Pré-publication, Document de travail hal-05176011v1
Adaptive Grid-Based Thompson Sampling for Efficient Trajectory Discovery Arindam Fadikar,Abby Stevens,Mickael Binois,Nicholson Collier,Jonathan Ozik 2025 Pré-publication, Document de travail hal-05348371v1
Gearing Gaussian process modeling and sequential design towards stochastic simulators Mickael Binois,Arindam Fadikar,Abby Stevens 2024 Pré-publication, Document de travail hal-04824305v1
Combining additivity and active subspaces for high-dimensional Gaussian process modeling Mickael Binois,Victor Picheny 2024 Pré-publication, Document de travail hal-04434927v1
Shared active subspace for multivariate vector-valued functions Khadija Musayeva,Mickael Binois 2023 Pré-publication, Document de travail hal-04372410v1
Shapes enhancing the propulsion of multiflagellated helical microswimmers Luca Berti,Mickael Binois,François Alouges,Matthieu Aussal,Christophe Prud'Hommeet al. 2021 Pré-publication, Document de travail hal-03166010v1

Article dans une revue (22)

Traffic prediction by combining macroscopic models and Gaussian processes Alexandra Würth,Mickaël Binois,Paola Goatin Applied Mathematical Modelling, 2026, 150, pp.116397. ⟨10.1016/j.apm.2025.116397⟩ Article dans une revue hal-04345140v1
hetGPy: Heteroskedastic Gaussian Process Modeling in Python David O’gara,Mickaël Binois,Roman Garnett,Ross Hammond Journal of Open Source Software, 2025, 10 (106), pp.7518. ⟨10.21105/joss.07518⟩ Article dans une revue hal-05372470v1
Parametric Shape Optimization of Flagellated Micro-Swimmers Using Bayesian Techniques Lucas Palazzolo,Mickael Binois,Luca Berti,Laëtitia Giraldi Physical Review Fluids, 2025, ⟨10.1103/PhysRevFluids.10.034101⟩ Article dans une revue hal-04699705v2
Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study David O’gara,Cliff Kerr,Daniel Klein,Mickaël Binois,Roman Garnettet al. Epidemics, 2025, 52, pp.100845. ⟨10.1016/j.epidem.2025.100845⟩ Article dans une revue hal-04868131v1
A portfolio approach to massively parallel Bayesian optimization Mickael Binois,Nicholson Collier,Jonathan Ozik Journal of Artificial Intelligence Research, 2025, 82, pp.137-167. ⟨10.1613/jair.1.16868⟩ Article dans une revue hal-03383097v3
Simulation and design of an IPHI-based neutron source, first steps toward SONATE Borana Mom,Loïc Thulliez,Éric Dumonteil,Mickaël Binois,Yann Richetet al. Journal of Neutron Research, 2023, 24 (3-4), pp.337-345. ⟨10.3233/JNR-220027⟩ Article dans une revue hal-05393039v1
Sensitivity Prewarping for Local Surrogate Modeling Nathan Wycoff,Mickael Binois,Robert Gramacy Technometrics, 2022, 64 (4), pp.535. ⟨10.1080/00401706.2022.2046170⟩ Article dans une revue hal-03473366v1
Data driven uncertainty quantification in macroscopic traffic flow models Alexandra Würth,Mickael Binois,Paola Goatin,Simone Göttlich Advances in Computational Mathematics, 2022, 48 Article dans une revue hal-03202124v2
Geometrically Consistent Aerodynamic Optimization using an Isogeometric Discontinuous Galerkin Method Stefano Pezzano,Régis Duvigneau,Mickael Binois Computers & Mathematics with Applications, 2022, 128 Article dans une revue hal-03670109v2
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) Article dans une revue (article de synthèse) hal-03419959v2
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⟩ Article dans une revue hal-03473359v1
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⟩ Article dans une revue hal-03124928v1
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⟩ Article dans une revue hal-02414688v1
Multiobjective statistical learning optimization of RGB metalens Mahmoud M R Elsawy,Anthony Gourdin,Mickael Binois,Régis Duvigneau,Didier Felbacqet al. ACS photonics, 2021, 8 (8), pp.2498-2508. ⟨10.1021/acsphotonics.1c00753⟩ Article dans une revue hal-03212349v2
Sequential Learning of Active Subspaces Nathan Wycoff,Mickael Binois,Stefan M. Wild Journal of Computational and Graphical Statistics, 2021, ⟨10.1080/10618600.2021.1874962⟩ Article dans une revue hal-02367750v1
Optimization of metasurfaces under geometrical uncertainty using statistical learning Mahmoud Elsawy,Mickael Binois,Régis Duvigneau,Stéphane Lanteri,Patrice Genevet Optics Express, 2021, 29 (19), pp.29887. ⟨10.1364/OE.430409⟩ Article dans une revue hal-03356986v1
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⟩ Article dans une revue hal-01508196v2
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 Article dans une revue (article de synthèse) hal-01656393v3
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⟩ Article dans une revue hal-02623482v1
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⟩ Article dans une revue hal-01944524v1
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⟩ Article dans une revue hal-00904811v2
On the estimation of Pareto fronts from the point of view of copula theory Mickaël Binois,Didier Rullière,Olivier Roustant Information Sciences, 2015, 324, pp.270 - 285. ⟨10.1016/j.ins.2015.06.037⟩ Article dans une revue hal-01097403v2

Cours (1)

Synchronous vs Asynchronous Active Learning Mickael Binois,Rodolphe Le Riche École thématique. Asynchronous Bayesian Optimization, Centre Inria d'Université Côte d'Azur, France. 2026 Cours hal-05508311v1

Chapitre d'ouvrage (2)

Prioritized multi-objective optimization of an aircraft flight performance based on Nash games from preponderant Pareto-optimal points Jean-Antoine Désidéri,Julien Wintz,Mickaël Binois,Nathalie Bartoli,Christophe Davidet al. Tero Tuovinen; Pekka Neittaanmäki; Dietrich Knoerzer. Challenges in Design Methods, Numerical Tools and Technologies for Sustainable Aviation, Transport and Industry, Springer Nature Switzerland, pp.11-25, 2026, Computational Methods in Applied Sciences, ⟨10.1007/978-3-031-98675-8_4⟩ Chapitre d'ouvrage hal-04826712v1
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⟩ Chapitre d'ouvrage hal-03206174v1

Communication dans un congrès (17)

Decoupled Design of Experiments for Expensive Multi-objective Problems Mickaël Binois,Jürgen Branke,Jonathan Fieldsend,Robin Purshouse LION 2024 - Learning and Intelligent Optimization Conference, Jun 2024, Ischia, Italy. pp.37-50, ⟨10.1007/978-3-031-75623-8_4⟩ Communication dans un congrès hal-04959599v1
Multi-Fidelity Bayesian Optimization of Metasurface Designs Ayoub Bellouch,Mahmoud Elsawy,Guillaume Leroy,Mickael Binois,Régis Duvigneauet al. EMTS 2025 - 25th URSI International Symposium on Electromagnetic Theory, URSI Commission B, Jun 2025, Bologna, Italy Communication dans un congrès hal-05288409v1
Training of physics-informed neural networks: a multi-criterion viewpoint Nathan Ricard,Mickael Binois,Régis Duvigneau DTE - AICOMAS 2025 - 3rd IACM Digital Twins in Engineering Conference (DTE 2025) & 1st ECCOMAS Artificial Intelligence and Computational Methods in Applied Science, Feb 2025, Paris, France Communication dans un congrès hal-05306445v1
Trajectory-Oriented Optimization of Stochastic Epidemiological Models Arindam Fadikar,Nicholson Collier,Abby Stevens,Jonathan Ozik,Mickaël Binoiset al. 2023 Winter Simulation Conference (WSC), Dec 2023, San Antonio, France. pp.1244-1255, ⟨10.1109/WSC60868.2023.10408258⟩ Communication dans un congrès hal-05390582v1
Prioritized multi-objective optimization of an aircraft flight performance based on Nash games from preponderant Pareto-optimal points Jean-Antoine Desideri,Julien Wintz,Mickael Binois,Nathalie Bartoli,Christophe Davidet al. CM3 2023 - Computational Multi Physics, Multi Scales and Multi Big Data Transport Conference, May 2023, Jyvaskyla, Finland Communication dans un congrès hal-05495485v1
Improved Multi-Label Propagation for Small Data with Multi-Objective Optimization Khadija Musayeva,Mickaël Binois ECML PKDD 2023, Sep 2023, Turin (Italie), Italy. pp.284-300, ⟨10.1007/978-3-031-43421-1_17⟩ Communication dans un congrès hal-03914733v2
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 Communication dans un congrès hal-04197769v1
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 Communication dans un congrès hal-03867219v1
Advanced numerical modeling methods for the characterization and optimization of metasurfaces Mickael Binois,Régis Duvigneau,Mahmoud M. R. Elsawy,P. Genevet,Samira Kadhiret al. 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC), May 2022, Gran Canaria, Spain. pp.1-4, ⟨10.23919/AT-AP-RASC54737.2022.9814395⟩ Communication dans un congrès hal-03925477v1
A Fully Integrated Geometry-Simulation-Optimization Framework via NURBS Representations with Application to Airfoil Morphing Stefano Pezzano,Régis Duvigneau,Mickael Binois ECCOMAS CM3 : Methods, Tools and Technologies for Design in Aviation, Nov 2021, Barcelona, Spain Communication dans un congrès hal-03428773v1
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 Communication dans un congrès hal-03428714v1
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⟩ Communication dans un congrès hal-03357023v1
Heteroskedastic Gaussian processes for simulation experiments Mickael Binois UQSay #01, Mar 2019, Saclay, France Communication dans un congrès hal-03109919v1
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 Communication dans un congrès hal-01656366v1
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⟩ Communication dans un congrès hal-01078003v2
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 Communication dans un congrès emse-01152513v1
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 Communication dans un congrès emse-00849417v1

Poster de conférence (3)

Parametric shape optimization of flagellated microswimmers using Bayesian techniques Lucas Palazzolo,Mickael Binois,Luca Berti,Laëtitia Giraldi SAMO 2025 - International Conference on Sensitivity Analysis of Model Output, Apr 2025, Grenoble, France Poster de conférence hal-05010013v1
Physics-informed neural networks for multidisciplinary analysis and design Nathan Ricard,Mickaël Binois,Régis Duvigneau SAMO 2025 : International Conference on Sensitivity Analysis of Model Output, Apr 2025, Grenoble, France Poster de conférence hal-05361355v1
Advanced optimization technique for robust and multiobjective metasurface designs Mahmoud Elsawy,Mickael Binois,Enzo Isnard,Régis Duvigneau,Patrice Genevetet al. ICMAT2023 - International Conference on Materials for Advanced Technologies, Jun 2023, Singapore (SG), Singapore. 2023 Poster de conférence hal-04355037v1

Thèse (1)

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⟩ Thèse tel-01310521v1