Identifiants chercheur

  • IdHAL : julien-bect
  • arXiv : +Bect_J
Nombre de documents

61

Publications de Julien Bect


Article dans une revue7 documents

  • Dario Azzimonti, Julien Bect, Clément Chevalier, David Ginsbourger. Quantifying uncertainties on excursion sets under a Gaussian random field prior. SIAM/ASA Journal on Uncertainty Quantification, 2016, 4 (1), <http://dx.doi.org/10.1137/141000749>. <hal-01103644v2>
  • Alireza Roodaki, Julien Bect, Gilles Fleury. Relabeling and Summarizing Posterior Distributions in Signal Decomposition Problems when the Number of Components is Unknown. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2014, 62 (16), pp.4091-4104. <10.1109/TSP.2014.2333569>. <hal-00771177v2>
  • Clément Chevalier, Julien Bect, David Ginsbourger, Emmanuel Vazquez, Victor Picheny, et al.. Fast parallel kriging-based stepwise uncertainty reduction with application to the identification of an excursion set. Technometrics, Taylor & Francis, 2014, 56 (4), pp.455-465. <10.1080/00401706.2013.860918>. <hal-00641108v2>
  • Alireza Roodaki, Julien Bect, Gilles Fleury. Comments on "Joint Bayesian Model Selection and Estimation of Noisy Sinusoids via Reversible Jump MCMC". IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2013, 61 (14), pp.3653-3655. <hal-00928902>
  • Julien Bect, David Ginsbourger, Ling Li, Victor Picheny, Emmanuel Vazquez. Sequential design of computer experiments for the estimation of a probability of failure. Statistics and Computing, Springer Verlag (Germany), 2012, 22 (3), pp.773-793. <10.1007/s11222-011-9241-4>. <hal-00689580>
  • Emmanuel Vazquez, Julien Bect. Convergence properties of the expected improvement algorithm with fixed mean and covariance functions. Journal of Statistical Planning and Inference, Elsevier, 2010, 140 (11), pp.3088-3095. <10.1016/j.jspi.2010.04.018>. <hal-00217562>
  • Julien Bect. A unifying formulation of the Fokker-Planck-Kolmogorov equation for general stochastic hybrid systems (extended version). Nonlinear Analysis: Hybrid Systems, Elsevier, 2010, 4 (2), pp.357-370. <10.1016/j.nahs.2009.07.008>. <hal-00350046v2>

Communication dans un congrès41 documents

  • Rémi Stroh, Julien Bect, Séverine Demeyer, Nicolas Fischer, Emmanuel Vazquez. Gaussian process modeling for stochastic multi-fidelity simulators, with application to fire safety. 48èmes Journées de Statistique de la SFdS (JdS 2016), May 2016, Montpellier, France. <hal-01312988>
  • Dario Azzimonti, David Ginsbourger, Clément Chevalier, Julien Bect, Yann Richet. Adaptive Design of Experiments for Conservative Estimation of Excursion Sets (SIAM UQ 2016). 2016 SIAM Conference on Uncertainty Quantification, Apr 2016, Lausanne, Switzerland. <hal-01329571>
  • Julien Bect, Roman Sueur, Emmanuel Vazquez. Bias and Variance in the Bayesian Subset Simulation Algorithm. 2016 SIAM Conference on Uncertainty Quantification, Apr 2016, Lausanne, Switzerland. <http://meetings.siam.org/sess/dsp_talk.cfm?p=74199>. <hal-01377732>
  • Rémi Stroh, Julien Bect, Emmanuel Vazquez, Séverine Demeyer, Nicolas Fischer, et al.. Planification et analyse d’expériences numériques, appliquées à la sécurité en ingénierie incendie. 21èmes journées du GDR Feux, Jan 2016, Cadarache, France. <http://gdrfeux.univ-lorraine.fr/janvier-2016-cadarache/>. <hal-01377795>
  • Paul Feliot, Yves Le Guennec, Julien Bect, Emmanuel Vazquez. Design of a commercial aircraft environment control system using Bayesian optimization techniques. 5th International Conference on Engineering Optimization, Jun 2016, Iguassu Falls, Brazil. Proceedings of the 5th International Conference on Engineering Optimization - Iguassu Falls, Brazil, 19-23 June 2016. <http://engopt.org/proceedings.php?by=author&cod=309&desc=Paul%20FELIOT>. <hal-01377722>
  • P Feliot, Julien Bect, Emmanuel Vazquez. BMOO: a Bayesian Multi-Objective Optimization algorithm. Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), Mar 2016, Toulouse, France. <https://mascot2016.sciencesconf.org>. <hal-01377761>
  • S. Frasnedo, Julien Bect, C. Chapuis, G. Duc, Ph. Feyel, et al.. Line of Sight controller tuning using Bayesian optimization of a high-level optronic criterion. 16th IFAC Workshop on Control Applications of Optimization, Oct 2015, Garmisch-Partenkirchen, Andorra. 48 (25), pp.56-61, 2015, <10.1016/j.ifacol.2015.11.059>. <hal-01259423>
  • Julien Bect, Roman Sueur, Alexis Gérossier, Loïc Mongellaz, Sébastien Petit, et al.. Échantillonnage préférentiel et méta-modèles : méthodes bayésiennes optimale et défensive. 47èmes Journées de Statistique de la SFdS - JdS 2015, Jun 2015, Lille, France. <hal-01163632>
  • Héloïse Dutrieux, Ivana Aleksovska, Julien Bect, Emmanuel Vazquez, Delille Gauthier, et al.. The Informational Approach to Global Optimization in presence of very noisy evaluation results. Application to the optimization of renewable energy integration strategies. 47èmes Journées de Statistique de la SFdS (JdS 2015), Jun 2015, Lille, France. <hal-01163565>
  • Paul Feliot, Julien Bect, Emmanuel Vazquez. A Bayesian approach to constrained multi-objective optimization of expensive-to-evaluate functions. World Congress on Global Optimization (WCGO 2015), Feb 2015, Gainesville (Florida), United States. <http://www.caopt.com/WCGO/>. <hal-01322564>
  • Paul Feliot, Julien Bect, Emmanuel Vazquez. A Bayesian Approach to Constrained Multi-objective Optimization. Learning and Intelligent Optimization: 9th International Conference, LION 9. Revised Selected Papers., Jan 2015, Lille, France. 8994, pp.256-261, 2015, Lecture Notes in Computer Science. <10.1007/978-3-319-19084-6_24>. <hal-01170137>
  • Julien Bect, Bousquet Nicolas, Bertrand Iooss, Shijie Liu, Alice Mabille, et al.. Quantification et réduction de l'incertitude concernant les propriétés de monotonie d'un code de calcul coûteux à évaluer. Société Française de Statistique (SFdS). 46èmes Journées de Statistique de la SFdS (JdS 2014), Jun 2014, Rennes, France. 6 p., 2014. <hal-01057322>
  • David Ginsbourger, Clément Chevalier, Julien Bect, Dario Azzimonti, Ilya Molchanov. Quantifying and reducing uncertainties on excursion sets under a gaussian random field prior. 2nd Conference of the International Society of NonParametric Statistics (ISNPS), Jun 2014, Cadiz, Spain. Proceedings of the 2nd Conference of the International Society of NonParametric Statistics. <hal-01083836>
  • Paul Feliot, Julien Bect, Emmanuel Vazquez. A Bayesian subset simulation approach to constrained global optimization of expensive-to-evaluate black-box functions. PGMO-COPI’14, Oct 2014, Palaiseau, France. Proceedings of the Conference on Optimization & Practices in Industry. <hal-01078397v2>
  • Benoit Jan, Julien Bect, Emmanuel Vazquez, Pierre Lefranc. Approche bayésienne pour l'estimation d'indices de Sobol. JdS 2013, May 2013, Toulouse, France. CD-ROM Proceedings (6 p.), 2013. <hal-00846747>
  • Benoit Jan, Julien Bect, Emmanuel Vazquez. Fully Bayesian approach for the estimation of (first-order) Sobol indices. 7th International Conference on Sensitivity Analysis of Model Output (MASCOT-SAMO 2013), Jul 2013, Nice, France. <hal-00846727>
  • Julien Bect, Emmanuel Vazquez. Bayes-optimal importance sampling for computer experiments. 7th International Workshop on Simulation (IWS 2013), May 2013, Rimini, Italy. <hal-00933660>
  • Romain Benassi, Julien Bect, Emmanuel Vazquez. Optimisation bayésienne par méthodes SMC. 44èmes journées de Statistique (JdS 2012), May 2012, Bruxelles, Belgique. CD-ROM Proceedings (6 p.), 2012. <hal-00690675>
  • Romain Benassi, Julien Bect, Emmanuel Vazquez. Bayesian optimization using sequential Monte Carlo. Youssef Hamadi and Marc Schoenauer. 6th International Conference on Learning and Intelligent Optimization (LION6), Jan 2012, Paris, France. Springer Berlin Heidelberg, pp.339-342, 2012, Lecture Notes in Computer Science. <10.1007/978-3-642-34413-8_24>. <hal-00717195>
  • Ling Li, Julien Bect, Emmanuel Vazquez. Bayesian Subset Simulation: a kriging-based subset simulation algorithm for the estimation of small probabilities of failure. 11th 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.), 2012. <hal-00715316>
  • Clément Chevalier, David Ginsbourger, Julien Bect, Ilya Molchanov. Quantifying and reducing uncertainties on a set of failure using random set theory and Kriging. SIAM Conference on Uncertainty Quantification (UQ12), Apr 2012, United States. <hal-00669172>
  • Romain Benassi, Julien Bect, Emmanuel Vazquez. Optimisation bayésienne par méthodes SMC. Journées annuelles du GdR MASCOT-NUM (MASCOT-NUM'12), Mar 2012, France. <hal-00669170>
  • Alireza Roodaki, Julien Bect, Gilles Fleury. Summarizing Posterior Distributions in Signal Decomposition Problems when the Number of Components is Unknown. ICASSP'12, Mar 2012, Kyoto, Japan. pp.3873-3876, 2012. <hal-00725296>
  • Emmanuel Vazquez, Julien Bect. Sequential search based on Kriging: convergence analysis of some algorithms. 58th World Statistics Congress of the International Statistical Institute, Aug 2011, Dublin, Ireland. (10 p.), 2011. <hal-00643159>
  • Romain Benassi, Julien Bect, Emmanuel Vazquez. Robust Gaussian process-based global optimization using a fully Bayesian expected improvement criterion. 5th International Conference on Learning and Intelligent Optimization (LION 5), Jan 2011, Rome, Italy. Springer, 6683, pp.176-190, 2011, Lecture Notes in Computer Science. <10.1007/978-3-642-25566-3_13>. <hal-00607816>
  • Ling Li, Julien Bect, Emmanuel Vazquez. A numerical comparison of kriging-based sequential strategies for estimating a probability of failure. 11th International Conference on Applications of Statistics and Probability Civil Engineering (ICASP'11), Aug 2011, Zurich, Switzerland. CD-ROM Proceedings (7 p.), 2011. <hal-00639430>
  • Aurélie Arnaud, Julien Bect, Mathieu Couplet, Alberto Pasanisi, Emmanuel Vazquez. Évaluation d'un risque d'inondation fluviale par planification séquentielle d'expériences. 42èmes Journées de Statistique, 2010, Marseille, France, France. 2010. <inria-00494767>
  • Alireza Roodaki, Julien Bect, Gilles Fleury. On the joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC in low SNR situations. 10th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA'10), May 2010, Kuala Lumpur, Malaysia. pp.5-8, 2010. <hal-00517661>
  • Emmanuel Vazquez, Julien Bect. Pointwise consistency of the kriging predictor with known mean and covariance functions. Physica-Verlag. 9th International Workshop in Model-Oriented Design and Analysis, Jun 2010, Bertinoro, Italy. Springer, pp.221-228, 2010, Contributions to Statistics. <10.1007/978-3-7908-2410-0>. <hal-00440827>
  • Romain Benassi, Julien Bect, Emmanuel Vazquez. Étude d'un nouveau critère d'optimisation bayésienne. Journées annuelles du GdR MASCOT-NUM (MASCOT-NUM'10), Mar 2010, Avignon, France. <hal-00482544>
  • Julien Bect, Ling Li, Emmanuel Vazquez. Planification séquentielle pour l'estimation de probabilités de défaillance. Atelier "événements rares" du GdR MASCOT-NUM, May 2010, Paris, France. <hal-00482518>
  • Alireza Roodaki, Julien Bect, Gilles Fleury. An empirical Bayes approach for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC. European Signal Processing Conference (EUSIPCO'10), Aug 2010, Aalbord, Denmark. pp.1048-1052, 2010. <hal-00517301>
  • Alireza Roodaki, Julien Bect, Gilles Fleury. Comparison of Fully Bayesian and Empirical Bayes approaches for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC. International Society for Bayesian Analysis - World Meeting (ISBA'10), Jun 2010, Benidorm, Spain. <hal-00482533>
  • Ling Li, Julien Bect, Emmanuel Vazquez. A numerical comparison of two sequential kriging-based algorithms to estimate a probability of failure. Uncertainty in Computer Models (UCM) 2010, Jul 2010, Sheffield, United Kingdom. <hal-00482541>
  • Mabrouka El Guedri, Julien Bect, Christian Lajaunie, Gilles Fleury, Rédouane Seraoui, et al.. RJMCMC point process sampler for single sensor source separation : an application to electric load monitoring. 17th European Signal Processing Conference (EUSIPCO'09), Aug 2009, Glasgow, United Kingdom. pp.CD-ROM Proceedings, 2009. <hal-00446758>
  • Emmanuel Vazquez, Julien Bect. A sequential Bayesian algorithm to estimate a probability of failure. 15th IFAC Symposium on System Identification, SYSID 2009, Jul 2009, Saint-Malo, France. 5 p., 2009. <hal-00368158v2>
  • Herman Bayem, Yannick Phulpin, Philippe Dessante, Julien Bect. Probabilistic computation of wind farm power generation based on wind turbine dynamic modeling. PMAPS 2008, May 2008, Puerto Rico. pp.CDROM Proceedings, 2008. <hal-00215958v3>
  • Julien Bect. A unifying formulation of the Fokker-Planck-Kolmogorov equation for general stochastic hybrid systems. 17th IFAC World Congress, Jul 2008, Séoul, South Korea. pp. 15480-15485, 2008. <hal-00215938v2>
  • Julien Bect, Hana Baili, Gilles Fleury. Generalized Fokker-Planck equation for piecewise-diffusion processes with boundary hitting resets. MTNS 2006, Jul 2006, Kyoto, Japan. pp.1360-1367, 2006, CD-ROM Proceedings. <hal-00016373>
  • Julien Bect, Yannick Phulpin, Hana Baili, Gilles Fleury. On the Fokker-Planck equation for stochastic hybrid systems: application to a wind turbine model. PMAPS 2006, Jun 2006, Stockholm, Sweden. pp.N.A., 2006, CD-ROM Proceedings. <10.1109/PMAPS.2006.360298>. <hal-00016375>
  • Julien Bect, Laure Blanc-Féraud, Gilles Aubert, Antonin Chambolle. A l1-unified variational framework for image restoration. T. Pajdla, J. Matas. 8th European Conference on Computer Vision (ECCV 2004), May 2004, Prague, Czech Republic. Springer, 3024, pp.1-13, 2004, Lecture Notes in Computer Science. <10.1007/b97873>. <hal-00217251>

Poster3 documents

  • Rémi Stroh, Julien Bect, Séverine Demeyer, Nicolas Fischer, Emmanuel Vazquez. Design and analysis of multi-level numerical experiments, with application to fire safety. Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), Mar 2016, Toulouse, France. <hal-01331171>
  • Paul Feliot, Julien Bect, Emmanuel Vazquez. A Bayesian approach to constrained multi-objective optimization. Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2015), Apr 2015, Saint-Etienne, France. 2015, <http://www.gdr-mascotnum.fr/mascot15.html>. <hal-01323031>
  • Julien Bect, Nicolas Bousquet, Bertrand Iooss, Shijie Liu, Alice Mabille, et al.. Uncertainty quantification and reduction for the monotonicity properties of expensive-to-evaluate computer models. Uncertainty in Computer Models 2014 Conference, Jul 2014, Sheffield, United Kingdom. <hal-01103724>

Chapitre d'ouvrage1 document

  • Clément Chevalier, David Ginsbourger, Julien Bect, Ilya Molchanov. Estimating and quantifying uncertainties on level sets using the Vorob'ev expectation and deviation with Gaussian process models. Dariusz Ucinski, Anthony C. Atkinson, Maciej Patan. mODa 10 - Advances in Model-Oriented Design and Analysis Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10-14, 2013, Springer International Publishing, pp.35-43, 2013, Contributions to Statistics, 978-3-319-00217-0. <10.1007/978-3-319-00218-7>. <hal-00731783v2>

Brevet1 document

  • Julien Bect, Christophe Wakim. Method and system for predicting the impact between a vehicle and a pedestrian. Patent n° : WO2007020358. 2007. <hal-00256368>

Autre publication3 documents

  • Paul Feliot, Julien Bect, Emmanuel Vazquez. Bayesian multi-objective optimization with constraints: Application to the design of a commercial aircraft environment control system. GdR MASCOT-NUM working meeting "Dealing with stochastics in optimization problems", May 26, 2016,.. 2016. <hal-01323028>
  • Julien Bect. Modèles numériques coûteux : de la quantification des incertitudes la planification séquentielle d'expériences. Séminaire LRC Manon, Institut National des Sciences et Techniques du Nucléaire (INSTN), 3 mars 20.. 2014. <hal-01083842>
  • Julien Bect. Planification et analyse d'expériences numériques : approche bayésienne (introduction, orientée vers la planification séquentielle). Séminaire ONERA/DSNA, Châtillon, France. 2013. <hal-01070453>

Pré-publication, Document de travail4 documents

  • Julien Bect, Ling Li, Emmanuel Vazquez. Bayesian subset simulation. 2016. <hal-01253706>
  • Dario Azzimonti, David Ginsbourger, Clément Chevalier, Julien Bect, Yann Richet. Adaptive Design of Experiments for Conservative Estimation of Excursion Sets. 2016. <hal-01379642>
  • Julien Bect, François Bachoc, David Ginsbourger. A supermartingale approach to Gaussian process based sequential design of experiments. 2016. <hal-01351088>
  • Paul Feliot, Julien Bect, Emmanuel Vazquez. A Bayesian approach to constrained single- and multi-objective optimization. 2016. <hal-01207679v3>

Thèse1 document

  • Julien Bect. Processus de Markov diffusifs par morceaux: outils analytiques et numériques. Automatique / Robotique. Université Paris Sud - Paris XI, 2007. Français. <tel-00169791>