Julien Bect
Présentation
Publications
Publications
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A stepwise uncertainty reduction strategy for the estimation of small quantile setsMASCOT-NUM 2024, Apr 2024, Hyères, France |
Estimation of Small Quantile Sets Using a Sequential Bayesian StrategySIAM Conference on Uncertainty Quantification (UQ24), Feb 2024, Trieste, Italy |
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Active Learning of (small) Quantile SetsSAMOURAI (workshop of the SAMOURAI ANR project), Dec 2024, Paris Institut Henri Poincaré, France |
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Minimizing the risk of foodborne illness and analytical costs using a QMRA model for raw milk cheeses12th International Conference on Predictive Modelling in Food (ICPMF12), Jun 2023, Sapporo, Japan |
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Bayesian multi-objective optimization for stochastic simulatorsMASCOT-NUM 2023, Apr 2023, Le croisic, France |
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Integration of bounded monotone functions: Revisiting the nonsequential case, with a focus on unbiased Monte Carlo (randomized) methods53èmes Journées de Statistique de la SFdS, Jun 2022, Lyon, France |
Reliability-based inversion: Stepwise uncertainty reduction strategies?SIAM Conference on Uncertainty Quantification (UQ22), Apr 2022, Atlanta, United States |
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Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimizationMASCOT-NUM 2022, Jun 2022, Clermont-Ferrand, France |
Learning of Frequency Response Functions in Electrical Engineering14th International Conference on Scientific Computing in Electrical Engineering, SCEE 2022, SCEE Foundation, Jul 2022, Amsterdam, Netherlands |
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Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients52èmes Journées de Statistique de la SFdS (JdS 2020), May 2021, Nice, France. pp.633-638 |
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On the quantification of discretization uncertainty: comparison of two paradigms14th World Congress in Computational Mechanics and ECCOMAS Congress 2020 (WCCM-ECCOMAS), Jan 2021, Virtual conference, originally scheduled in Paris, France. ⟨10.23967/wccm-eccomas.2020.260⟩ |
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A Bayesian approach for the optimal integration of renewable energy sources in distribution networks over multi-year horizons26th International Conference & Exhibition on Electricity Distribution (CIRED 2021), Sep 2021, Online (initially planned in Geneva), France. ⟨10.1049/icp.2021.1946⟩ |
Extension of the Pareto Active Learning method to multi-objective optimization for stochastic simulatorsSIAM Conference on Computational Science and Engineering (CSE21), Mar 2021, Virtual Conference originally scheduled in Fort Worth, Texas, United States |
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Extension of the Pareto Active Learning Method to Multi-Objective Optimization for Stochastic SimulatorsMASCOT-NUM Workshop on Stochastic Simulators, Mar 2021, Virtual conference, France |
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Gaussian Process Regression for Complex-Valued Frequency Response Functions6th ECCOMAS Young Investigators Conference (YIC2021), Jul 2021, Online (initally planned in València), Spain |
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Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation7th International Conference on machine Learning, Optimization and Data science (LOD 2021), Oct 2021, Grasmere, United Kingdom. ⟨10.1007/978-3-030-95470-3_9⟩ |
Stepwise Entropy Reduction : Review of Theoretical Results in the Finite/Deterministic caseFrench-German-Swiss Conference on Optimization (FGS'19), Sep 2019, Nice, France |
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Bayesian multi-objective optimization with noisy evaluations using the Knowledge GradientPGMO Days 2019, Dec 2019, Palaiseau, France |
Planification d’expériences numériques en multi-fidélité, appliquée à la sécurité en ingénierie incendie50èmes Journées de Statistique de la SFdS (JdS 2018), May 2018, Palaiseau, France |
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An introduction to some EGO-like algorithms for constrained / multi-objective / noisy problemsÉcole-chercheurs Mexico: “Analyse de sensibilité, métamodélisation et optimisation de modèles complexes”, Mar 2018, La Rochelle, France |
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Bayesian Subset Simulation TutorialSIAM Conference on Uncertainty Quantification (SIAM UQ 2018), Apr 2018, Garden Grove, Orange County, United States |
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On the use of SMC methods in the sequential design of computer experimentsGdR ISIS meeting on “Echantillonnage Monte Carlo et Apprentissage Statistique”, Feb 2018, Paris, France |
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Uncertainty functionals and the greedy reduction of uncertaintyWorkshop on "Design of Experiments: New Challenges" 2018, Apr 2018, CIRM, Marseille, France |
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User preferences in Bayesian multi-objective optimization: the expected weighted hypervolume improvement criterionMachine Learning, Optimization, and Data Science. 4th International Conference (LOD 2018), Sep 2018, Volterra, Italy. pp.533-544, ⟨10.1007/978-3-030-13709-0_45⟩ |
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Design of a commercial aircraft environment control system using Bayesian optimization techniquesEngOpt 2016, 5th International Conference on Engineering Optimization, Jun 2016, Iguassu Falls, Brazil. pp.400-409 |
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Integrating hyper-parameter uncertainties in a multi-fidelity Bayesian model for the estimation of a probability of failure11th International Conference on Advanced Mathematical and Computational Tools in Metrology and Testing (AMTCM 2017) , Aug 2017, Glasgow, United Kingdom |
User preferences in Bayesian multi-objective optimizationPGMO Days 2017, Nov 2017, Palaiseau, France |
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Sequential design of experiments to estimate a probability of exceeding a threshold in a multi-fidelity stochastic simulator61th World Statistics Congress of the International Statistical Institute (ISI 2017), Jul 2017, Marrakech, Morocco |
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Sequential design of experiment on a stochastic multi-fidelity simulator to estimate a probability of exceeding a thresholdJournées annuelles du GdR MASCOT NUM (MASCOT NUM 2017), Mar 2017, Paris, France |
Adaptive Design of Experiments for Conservative Estimation of Excursion Sets (SIAM UQ 2016)2016 SIAM Conference on Uncertainty Quantification, Apr 2016, Lausanne, Switzerland |
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Planification et analyse d’expériences numériques, appliquées à la sécurité en ingénierie incendie21èmes journées du GDR Feux, Jan 2016, Cadarache, France |
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Perturbed-Law based sensitivity Indices for sensitivity analysis in structural reliability8th International Conference on Sensitivity Analysis of Model Output (SAMO 2016), Nov 2016, Le Tampon, Réunion, France. pp.89-90 |
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Gaussian process modeling for stochastic multi-fidelity simulators, with application to fire safety48èmes Journées de Statistique de la SFdS (JdS 2016), May 2016, Montpellier, France |
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BMOO: a Bayesian Multi-Objective Optimization algorithmJournées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), Mar 2016, Toulouse, France |
Bias and Variance in the Bayesian Subset Simulation Algorithm2016 SIAM Conference on Uncertainty Quantification, Apr 2016, Lausanne, Switzerland |
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A Bayesian approach to constrained multi-objective optimization of expensive-to-evaluate functionsWorld Congress on Global Optimization (WCGO 2015), Feb 2015, Gainesville (Florida), United States |
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A Bayesian Approach to Constrained Multi-objective OptimizationLearning and Intelligent Optimization: 9th International Conference, LION 9. Revised Selected Papers., Jan 2015, Lille, France. pp.256-261, ⟨10.1007/978-3-319-19084-6_24⟩ |
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The Informational Approach to Global Optimization in presence of very noisy evaluation results. Application to the optimization of renewable energy integration strategies47èmes Journées de Statistique de la SFdS (JdS 2015), Jun 2015, Lille, France |
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Échantillonnage préférentiel et méta-modèles : méthodes bayésiennes optimale et défensive47èmes Journées de Statistique de la SFdS (JdS 2015), Jun 2015, Lille, France |
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Line of Sight controller tuning using Bayesian optimization of a high-level optronic criterion16th IFAC Workshop on Control Applications of Optimization, Oct 2015, Garmisch-Partenkirchen, Andorra. pp.56-61, ⟨10.1016/j.ifacol.2015.11.059⟩ |
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A Bayesian subset simulation approach to constrained global optimization of expensive-to-evaluate black-box functionsPGMO-COPI’14, Oct 2014, Palaiseau, France |
Quantifying and reducing uncertainties on excursion sets under a gaussian random field prior2nd Conference of the International Society of NonParametric Statistics (ISNPS), Jun 2014, Cadiz, Spain |
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Quantification et réduction de l'incertitude concernant les propriétés de monotonie d'un code de calcul coûteux à évaluer46èmes Journées de Statistique de la SFdS (JdS 2014), Jun 2014, Rennes, France. 6 p |
Bayes-optimal importance sampling for computer experiments7th International Workshop on Simulation (IWS 2013), May 2013, Rimini, Italy |
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Fully Bayesian approach for the estimation of (first-order) Sobol indices7th International Conference on Sensitivity Analysis of Model Output (MASCOT-SAMO 2013), Jul 2013, Nice, France |
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Approche bayésienne pour l'estimation d'indices de SobolJdS 2013, May 2013, Toulouse, France. CD-ROM Proceedings (6 p.) |
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Optimisation bayésienne par méthodes SMCJournées annuelles du GdR MASCOT-NUM (MASCOT-NUM'12), Mar 2012, Bruyères-le-Châtel France |
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Bayesian Subset Simulation: a kriging-based subset simulation algorithm for the estimation of small probabilities of failure11th International Probabilistic Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL 2012), Jun 2012, Helsinki, Finland. CD-ROM Proceedings (10 p.) |
Quantifying and reducing uncertainties on a set of failure using random set theory and KrigingSIAM Conference on Uncertainty Quantification (UQ12), Apr 2012, Raleigh, United States |
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Summarizing Posterior Distributions in Signal Decomposition Problems when the Number of Components is Unknown2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012) , Mar 2012, Kyoto, Japan. pp.3873-3876, ⟨10.1109/ICASSP.2012.6288763⟩ |
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Optimisation bayésienne par méthodes SMC44èmes journées de Statistique (JdS 2012), May 2012, Bruxelles, Belgique. CD-ROM Proceedings (6 p.) |
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Bayesian optimization using sequential Monte Carlo6th International Conference on Learning and Intelligent Optimization (LION6), Jan 2012, Paris, France. pp.339-342, ⟨10.1007/978-3-642-34413-8_24⟩ |
A numerical comparison of kriging-based sequential strategies for estimating a probability of failure11th International Conference on Applications of Statistics and Probability Civil Engineering (ICASP'11), Aug 2011, Zurich, Switzerland. CD-ROM Proceedings (7 p.) |
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Robust Gaussian process-based global optimization using a fully Bayesian expected improvement criterion5th International Conference on Learning and Intelligent Optimization (LION 5), Jan 2011, Rome, Italy. pp.176-190, ⟨10.1007/978-3-642-25566-3_13⟩ |
Sequential search based on Kriging: convergence analysis of some algorithms58th World Statistics Congress of the International Statistical Institute, Aug 2011, Dublin, Ireland. (10 p.) |
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A numerical comparison of two sequential kriging-based algorithms to estimate a probability of failureUncertainty in Computer Models (UCM) 2010, Jul 2010, Sheffield, United Kingdom |
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On the joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC in low SNR situations10th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA'10), May 2010, Kuala Lumpur, Malaysia. pp.5-8 |
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An empirical Bayes approach for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMCEuropean Signal Processing Conference (EUSIPCO'10), Aug 2010, Aalbord, Denmark. pp.1048-1052 |
Comparison of Fully Bayesian and Empirical Bayes approaches for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMCInternational Society for Bayesian Analysis - World Meeting (ISBA'10), Jun 2010, Benidorm, Spain |
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Évaluation d'un risque d'inondation fluviale par planification séquentielle d'expériences42èmes Journées de Statistique, 2010, Marseille, France, France |
Planification séquentielle pour l'estimation de probabilités de défaillanceAtelier "événements rares" du GdR MASCOT-NUM, May 2010, Paris, France |
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Pointwise consistency of the kriging predictor with known mean and covariance functions9th International Workshop in Model-Oriented Design and Analysis, Jun 2010, Bertinoro, Italy. pp.221-228, ⟨10.1007/978-3-7908-2410-0⟩ |
Étude d'un nouveau critère d'optimisation bayésienneJournées annuelles du GdR MASCOT-NUM (MASCOT-NUM'10), Mar 2010, Avignon, France |
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A sequential Bayesian algorithm to estimate a probability of failure15th IFAC Symposium on System Identification, SYSID 2009, Jul 2009, Saint-Malo, France. 5 p |
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RJMCMC point process sampler for single sensor source separation : an application to electric load monitoring17th European Signal Processing Conference (EUSIPCO'09), Aug 2009, Glasgow, United Kingdom. pp.CD-ROM Proceedings |
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Probabilistic computation of wind farm power generation based on wind turbine dynamic modeling10th International Conference on Probablistic Methods Applied to Power Systems (PMAPS 2008), May 2008, Rincon, Puerto Rico |
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A unifying formulation of the Fokker-Planck-Kolmogorov equation for general stochastic hybrid systems17th IFAC World Congress, Jul 2008, Séoul, South Korea. pp. 15480-15485 |
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On the Fokker-Planck equation for stochastic hybrid systems: application to a wind turbine modelPMAPS 2006, Jun 2006, Stockholm, Sweden. pp.N.A., ⟨10.1109/PMAPS.2006.360298⟩ |
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Generalized Fokker-Planck equation for piecewise-diffusion processes with boundary hitting resetsMTNS 2006, Jul 2006, Kyoto, Japan. pp.1360-1367 |
A l1-unified variational framework for image restoration8th European Conference on Computer Vision (ECCV 2004), May 2004, Prague, Czech Republic. pp.1-13, ⟨10.1007/b97873⟩ |
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Integrating hyper-parameter uncertainties in a multi-fidelity Bayesian model for the estimation of a probability of failureAdvanced Mathematical and Computational Tools in Metrology and Testing XI, 89, WORLD SCIENTIFIC, pp.349-356, 2018, Series on Advances in Mathematics for Applied Sciences, ⟨10.1142/9789813274303_0035⟩ |
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Estimating and quantifying uncertainties on level sets using the Vorob’ev expectation and deviation with Gaussian process modelsDariusz Ucinski; Anthony C. Atkinson; Maciej Patan. Contributions to Statistics, Springer International Publishing, pp.35-43, 2013, Contributions to Statistics, 978-3-319-00217-0. ⟨10.1007/978-3-319-00218-7⟩ |
Method and system for predicting the impact between a vehicle and a pedestrianFrance, Patent n° : WO2007020358. 2007 |
Bayesian multi-objective optimization with constraints: Application to the design of a commercial aircraft environment control system2016 |
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Modèles numériques coûteux : de la quantification des incertitudes la planification séquentielle d'expériences2014 |
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Planification et analyse d'expériences numériques : approche bayésienne (introduction, orientée vers la planification séquentielle)2013 |
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Bayesian Active Learning of (small) Quantile Sets through Expected Estimator Modification2025 |
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Bayesian multi-objective optimization for stochastic simulators: an extension of the Pareto Active Learning method2022 |
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Processus de Markov diffusifs par morceaux: outils analytiques et numériquesAutomatique / Robotique. Université Paris Sud - Paris XI, 2007. Français. ⟨NNT : ⟩ |
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Bayesian OptimizationDoctoral. CEA-EDF-INRIA Numerical analysis Summer school 2017. Design and optimization under uncertainty of large-scale numerical models., Université Pierre et Marie Curie (Paris VI), Paris, France. 2017, pp.224 |