Mickaël Binois

55
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

Optimal Control of Microswimmers for Trajectory Tracking Using Bayesian Optimization

Lucas Palazzolo , Mickaël Binois , Laëtitia Giraldi

2026

Pré-publication, Document de travail hal-05504613v1

Modular Jump Gaussian Processes

Anna Flowers , Christopher Franck , Mickaël Binois , Chiwoo Park , Robert Gramacy

2025

Pré-publication, Document de travail hal-05176011v1

Non-Locally Controllable but Trackable Magnetic Head Flagellated Swimmer

Lucas Palazzolo , Mickaël Binois , Laëtitia Giraldi

2025

Pré-publication, Document de travail hal-05348147v1
Deposit thumbnail

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

Mickael Binois , Jeffrey Larson

2025

Pré-publication, Document de travail hal-05049210v1

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
Deposit thumbnail

Combining additivity and active subspaces for high-dimensional Gaussian process modeling

Mickael Binois , Victor Picheny

2024

Pré-publication, Document de travail hal-04434927v1
Deposit thumbnail

Gearing Gaussian process modeling and sequential design towards stochastic simulators

Mickael Binois , Arindam Fadikar , Abby Stevens

2024

Pré-publication, Document de travail hal-04824305v1
Deposit thumbnail

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'Homme et al.

2021

Pré-publication, Document de travail hal-03166010v1
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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

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-04868131v1
Deposit thumbnail

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 Richet et al.

Journal of Neutron Research, 2023, 24 (3-4), pp.337-345. ⟨10.3233/JNR-220027⟩

Article dans une revue hal-05393039v1
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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

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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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-03212349v2
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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 David et 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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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-04355037v1
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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-05288409v1

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 David et al.

CM3 2023 - Computational Multi Physics, Multi Scales and Multi Big Data Transport Conference, May 2023, Jyvaskyla, Finland

Communication dans un congrès hal-05495485v1

Trajectory-Oriented Optimization of Stochastic Epidemiological Models

Arindam Fadikar , Nicholson Collier , Abby Stevens , Jonathan Ozik , Mickaël Binois et 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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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
Deposit thumbnail

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-03925477v1

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

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
Deposit thumbnail

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
Deposit thumbnail

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