Mickaël Binois

50
Documents
Affiliation actuelle
  • Analysis and Control of Unsteady Models for Engineering Sciences (ACUMES)
Identifiants chercheurs

Domaines de recherche

Optimisation et contrôle [math.OC]

Compétences

Gaussian processes Bayesian optimization

Publications

Publications

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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-04345140 v1

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-05372470 v1
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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-04699705 v2
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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-03383097 v3

Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study

David O’gara , Cliff Kerr , Daniel Klein , Mickaël Binois , Roman Garnett et al.
Epidemics, 2025, 52, pp.100845. ⟨10.1016/j.epidem.2025.100845⟩
Article dans une revue hal-04868131 v1
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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-03473366 v1
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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
Article dans une revue hal-03202124 v2
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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
Article dans une revue hal-03670109 v2
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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)
Article dans une revue (article de synthèse) hal-03419959 v2
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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-03356986 v1
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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-03124928 v1

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-03473359 v1
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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⟩
Article dans une revue hal-02414688 v1
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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⟩
Article dans une revue hal-03212349 v2
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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-02367750 v1
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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⟩
Article dans une revue hal-01508196 v2
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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
Article dans une revue (article de synthèse) hal-01656393 v3
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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⟩
Article dans une revue hal-02623482 v1
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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⟩
Article dans une revue hal-01944524 v1
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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-01097403 v2
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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⟩
Article dans une revue hal-00904811 v2
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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-05010013 v1
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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-05361355 v1
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Advanced optimization technique for robust and multiobjective metasurface designs

Mahmoud Elsawy , Mickael Binois , Enzo Isnard , Régis Duvigneau , Patrice Genevet et al.
ICMAT2023 - International Conference on Materials for Advanced Technologies, Jun 2023, Singapore (SG), Singapore. 2023
Poster de conférence hal-04355037 v1

Non-Locally Controllable but Trackable Magnetic Head Flagellated Swimmer

Lucas Palazzolo , Mickaël Binois , Laëtitia Giraldi
2025
Pré-publication, Document de travail hal-05348147 v1

Modular Jump Gaussian Processes

Anna Flowers , Christopher Franck , Mickaël Binois , Chiwoo Park , Robert Gramacy
2025
Pré-publication, Document de travail hal-05176011 v1

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-05348371 v1
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Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions

Mickael Binois , Jeffrey Larson
2025
Pré-publication, Document de travail hal-05049210 v1
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Combining additivity and active subspaces for high-dimensional Gaussian process modeling

Mickael Binois , Victor Picheny
2024
Pré-publication, Document de travail hal-04434927 v1
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Gearing Gaussian process modeling and sequential design towards stochastic simulators

Mickael Binois , Arindam Fadikar , Abby Stevens
2024
Pré-publication, Document de travail hal-04824305 v1
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Shared active subspace for multivariate vector-valued functions

Khadija Musayeva , Mickael Binois
2023
Pré-publication, Document de travail hal-04372410 v1

Shapes enhancing the propulsion of multiflagellated helical microswimmers

Luca Berti , Mickael Binois , François Alouges , Matthieu Aussal , Christophe Prud'Homme et al.
2021
Pré-publication, Document de travail hal-03166010 v1
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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-04959599 v1
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Training of physics-informed neural networks: a multi-criterion viewpoint

Nathan Ricard , Mickael Binois , Régis Duvigneau
DTE - AICOMAS 2025 - Digital Twins in Engineering & Artificial Intelligence and Computational Methods in Applied Science, Feb 2025, Paris, France
Communication dans un congrès hal-05306445 v1
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Multi-Fidelity Bayesian Optimization of Metasurface Designs

Ayoub Bellouch , Mahmoud Elsawy , Guillaume Leroy , Mickael Binois , Régis Duvigneau et al.
EMTS 2025 - 25th URSI International Symposium on Electromagnetic Theory, URSI Commission B, Jun 2025, Bologna, Italy
Communication dans un congrès hal-05288409 v1
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Prioritized multi-objective optimization of an aircraft flight performance based on Nash games from preponderant Pareto-optimal points

Jean-Antoine Désidéri , Julien Wintz , Mickael Binois , Nathalie Bartoli , Christophe David et al.
CM3 Transport 2023 Conference, May 2023, Jyvaskyla, Finland
Communication dans un congrès hal-04826712 v1
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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
Communication dans un congrès hal-04197769 v1
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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-03914733 v2
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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
Communication dans un congrès hal-03867219 v1
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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.
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-03925477 v1

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-03428714 v1

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-03428773 v1
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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⟩
Communication dans un congrès hal-03357023 v1

Heteroskedastic Gaussian processes for simulation experiments

Mickael Binois
UQSay #01, Mar 2019, Saclay, France
Communication dans un congrès hal-03109919 v1

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-01656366 v1
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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⟩
Communication dans un congrès hal-01078003 v2

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-01152513 v1

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-00849417 v1
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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⟩
Chapitre d'ouvrage hal-03206174 v1