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236 résultats
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriorsBayesComp 2023 - Conference of the Bayesian Computation Section of the International Society for Bayesian Analysis, Mar 2023, Levi, Finland
Communication dans un congrès
hal-03874011v1
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Simulation-based Bayesian inference for high dimensional inverse problemsCIRM Research school on End-to-end Bayesian Learning Methods, Oct 2021, Luminy, France
Communication dans un congrès
hal-03874016v1
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Simulation based inference for high dimensional inverse problems: application to magnetic resonance fingerprintingColloque Intelligence Artificielle et santé : approches interdisciplinaires 2022, Jun 2022, Nantes, France
Communication dans un congrès
hal-03876812v1
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Simulation-based approaches to Bayesian inverse problemsICMS 2023 - Workshop on Interfacing Bayesian statistics, machine learning, applied analysis, and blind and semi-blind imaging inverse problems, Jan 2023, Edimburgh, United Kingdom
Communication dans un congrès
hal-03874057v1
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Mixture Models for Image AnalysisSylvia Fruhwirth-Schnatter; Gilles Celeux; Christian P. Robert. Handbook of Mixture Analysis, CRC press, pp.397-418, 2018, 9781498763813
Chapitre d'ouvrage
hal-01970681v1
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Introduction to statistical methods in signal and image processingDoctoral. Peyresq, France. 2016
Cours
cel-01423624v1
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Models and inference for structured stochastic systemsModeling and Simulation. Université de Grenoble, 2010
HDR
tel-00578938v1
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Online Majorization Minimization algorithmsCIRM Workshop on Computational Methods for Unifying Multiple Statistical Analyses (Fusion), Oct 2022, Luminy, France
Communication dans un congrès
hal-03874028v1
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Surrogate posteriors for Approximate Bayesian ComputationSIAM Conference on Computational Science and Engineering (CSE21), Likelihood-free inference minisymposium, Mar 2021, Virtual, France
Communication dans un congrès
hal-03874042v1
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Automatic learning of functional summary statistics for approximate Bayesian computationO'Bayes 2022 - Objective Bayes Methodology Conference, Sep 2022, Santa Cruz, United States
Communication dans un congrès
hal-03874003v1
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Modelling structured data with probabilistic graphical modelsD. Fraix-Burnet; S. Girard. Statistics for Astrophysics- Classification and Clustering, 77, EDP Sciences, pp.195-219, 2016, EAS Publication Series, ⟨10.1051/eas/1677009⟩
Chapitre d'ouvrage
istex
hal-01423613v1
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Learning approaches for Bayesian inverse problemsUGA-McMaster joint workshop 2022, Jun 2022, Hamilton, Canada
Communication dans un congrès
hal-03874054v1
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Location and scale mixtures of Gaussians with flexible tail behaviour: properties, inference and application to multivariate clusteringComputational Statistics and Data Analysis, 2015, 90, pp.61-73. ⟨10.1016/j.csda.2015.04.008⟩
Article dans une revue
hal-01970565v1
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Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random FieldsIEEE Transactions on Image Processing, 2007, 16 (3), pp.824-837. ⟨10.1109/TIP.2006.891045⟩
Article dans une revue
hal-00846640v1
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Robust mixture modelling using skewed multivariate distributions with variable amounts of tailweight7th International Conference of the ERCIM WG on Computing and Statistics, Oct 2014, Pise, Italy
Communication dans un congrès
hal-01107622v1
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A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweights: Application to robust clusteringStatistics and Computing, 2014, 24 (6), pp.971-984. ⟨10.1007/s11222-013-9414-4⟩
Article dans une revue
hal-00823451v2
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Rectified binaural ratio: A complex T-distributed feature for robust sound localizationEuropean Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.1257-1261, ⟨10.1109/EUSIPCO.2016.7760450⟩
Communication dans un congrès
hal-01372337v1
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Triplet Markov fields for the classification of complex structure dataIEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30 (6), pp.1055-1067. ⟨10.1109/TPAMI.2008.27⟩
Article dans une revue
hal-00846808v1
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Triplet Markov fields for the classification of complex structure data[Research Report] RR-6356, INRIA. 2007
Rapport
inria-00168621v2
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Gene clustering via integrated Markov models combining individual and pairwise features.IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2009, 6 (2), pp.260-270. ⟨10.1109/TCBB.2007.70248⟩
Article dans une revue
hal-00781174v1
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New trends in Markov models and related learning to restore dataMLSP 2009 - IEEE International Workshop on Machine Learning for Signal Processing, Sep 2009, Grenoble, France. pp.1-6, ⟨10.1109/MLSP.2009.5306255⟩
Communication dans un congrès
hal-00781201v1
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Robust mixture modelling using skewed multivariate distributions with variable amounts of tailweightJdS 2019 - 51èmes Journées de Statistique, Jun 2019, Nancy, France
Communication dans un congrès
hal-02423639v1
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Partial volume estimation in brain MRI revisitedMICCAI 2014 - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2014, Boston, United States. pp.771-778, ⟨10.1007/978-3-319-10404-1_96⟩
Communication dans un congrès
hal-01107469v1
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Global implicit function theorems and the online Expectation-Maximisation algorithmAustralian and New Zealand Journal of Statistics, 2022, 64 (2), pp.255-281. ⟨10.1111/anzs.12356⟩
Article dans une revue
hal-03110213v2
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Harmony Search with Differential Mutation Based Pitch AdjustmentGECCO'11 - 13th annual conference on Genetic and evolutionary computation, Jul 2011, Dublin, Ireland. pp.545-552, ⟨10.1145/2001576.2001651⟩
Communication dans un congrès
hal-00780523v1
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Dynamic Regional Harmony Search with Opposition and Local LearningGECCO'11 - 13th annual conference companion on Genetic and evolutionary computation, Jul 2011, Dublin, Ireland. pp.53-54, ⟨10.1145/2001858.2001890⟩
Communication dans un congrès
hal-00780548v1
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Bayesian Nonparametric Priors for Hidden Markov Random Fields: Application to Image SegmentationIFSS 2018 - 2nd Italian-French Statistics Seminar, Sep 2018, Grenoble, France. pp.1
Poster de conférence
hal-01950666v1
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Calibration of A Binocular-Binaural Sensor Using a Moving Audio-Visual Target[Research Report] RR-7865, INRIA. 2012, pp.27
Rapport
hal-00662306v1
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Robust structure learning using multivariate T-distributionsJdS 2018 - 50èmes Journées de la Statistique, May 2018, Saclay, France. pp.1-6
Communication dans un congrès
hal-01941643v1
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Bayesian Markov model for cooperative clustering: application to robust MRI brain scan segmentationJournal de la Société Française de Statistique, 2011, 152 (3), pp.116-141
Article dans une revue
inserm-00752896v1
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