Thomas Romary
- Centre de Statistique et Images (STIM)
Publications
Publications
Combining Machine-Learning and Physics-Based Models to Mitigate Stick-Slip in Real-TimeIADC/SPE International Drilling Conference and Exhibition, Mar 2024, Galveston, United States. ⟨10.2118/217750-ms⟩ |
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Real-Time Stick-Slip Mitigation Using Combined Machine Learning and Physics Based TechniquesInternational Petroleum Technology Conference, Feb 2024, Dhahran, France. ⟨10.2523/IPTC-24509-MS⟩ |
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Scenario reduction for uncertainty quantification in Uranium in situ recoveryWorkshop "Statistical methods for safety and decommissioning", Nov 2022, Avignon, France |
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Oxygen data assimilation in river systems21st Annual Conference of the International Association for Mathematical Geosciences, Aug 2022, Nancy, France |
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The SPDE approach for spatio-temporal datasets with advection and diffusion : A matrix-free approach15th International Conference of the ERCIM WG on Com- putational and Methodological Statistics (CMStatistics 2022), ERCIM, Dec 2022, London, United Kingdom. ⟨10.48550/arXiv.2208.14015⟩ |
Deep-learning spatial generation of geological facies21th IAMG Conference, Sep 2022, Nancy, France |
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Spatio-temporal modeling with stochastic partial differential equations : simulation and inference21th IAMG Conference, Aug 2022, Nancy, France |
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Oxygen data assimilation using particle filter in ProSe-PA softwareJournée Scientifique du PIREN Seine, Dec 2020, Paris, France |
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High Frequency Data Assimilation in ProSe-PA Water Quality ModelJDD 2020 Ecole Doctorale GRNE, Nov 2020, Paris, France |
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Geostatistical Electrofacies Calculation in Non-Stationary Cases81st EAGE Conference and Exhibition 2019, Jun 2019, London, France. ⟨10.3997/2214-4609.201900708⟩ |
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Assimilating high-frequency data in a hydro-biogeochemical model of river systems, the ProSe-PA approachEGU, Apr 2019, Vienne, Austria |
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Scenario Reduction and dimension reduction in uranium ore deposit mining simulations by In Situ RecoveryGeoEnv, Jul 2018, Belfast, Ireland |
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Performance Evaluation of Covariance Tapering for Coverage Mapping2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Jun 2018, Porto, Portugal. ⟨10.1109/vtcspring.2018.8417551⟩ |
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Clustering for High Accuracy Coverage Mapping2018 IEEE International Conference on Communications (ICC), May 2018, Kansas City, United States. ⟨10.1109/icc.2018.8422761⟩ |
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Sensitivity Analysis of a biogeochemical model on dissolved oxygen during low water periodsEGU General Assembly, Apr 2018, Vienna, Austria |
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Uncertainty estimation by probabilistic first arrival time tomography using Markov Chain Monte Carlo sampling79th EAGE Conference and Exhibition 2017, 2017, Paris, France. ⟨10.3997/2214-4609.201701694⟩ |
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Bayesian tomography by interacting Markov chainsAGU Fall Meeting, Dec 2017, New Orleans, United States |
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Covariance decomposition for the kriging of large datasetsData science and environment, Jul 2017, Brest, France |
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Covariance models for large spatial datasets and their inferenceTIES-GRASPA 2017, Jul 2017, Bergamo, Italy |
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Visualisation de modèles spatio-temporels avec R, shiny et leafletDonnées spatio-temporelles. Réseau RESSTE, Sep 2016, Avignon, France. 80 p |
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Microseismic monitoring : Hierarchical transdimensional tomography and propagation of velocity model uncertainties to seismic event locationsAGU Fall Meeting, 2016, San Fransico, United States |
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Unsupervised learning of multivariate geostatistical data: two algorithmsGeoenv 2016, Jul 2016, Lisbon, Portugal |
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Covariance sale decomposition for the kriging of large datasetsGeostats 2016, Sep 2016, Valencia, Spain |
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Bayesian seismic tomography asa velocity anomaly detection toolGeostats 2016, Sep 2016, Valencia, Spain |
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Combining geostatistical hiercharchical clustering (GHC) and potential field method for fast and flexible domaining with updating capabilities : a case study with grade shell modelling in iron oreGeostats 2016, Sep 2016, Valencia, Spain |
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A full scale, non stationary approach for the kriging of large datasetsSpatial Statistics Conference 2015, Jun 2015, Avignon, France |
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First Arrival Travel Time Tomography - Bayesian ApproachPetroleum Geostatistics 2015, Sep 2015, Biarritz, France. ⟨10.3997/2214-4609.201413644⟩ |
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Estimation Of Non-Stationary Random Fields Through Space Deformation11th German Probability and Statistics Days, Mar 2014, Ulm, Germany |
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Estimation de Fonctions Aléatoires Non-stationnaires de Second Ordre par Déformation Spatiale46èmes journées de la Société Française de Statistique (SFdS), Jun 2014, Rennes, France. pp.242 |
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Bayesian seismic tomography by parallel interacting Markov chainsEGU General Assembly, 2014, Austria. pp.Vol. 16, EGU2014-6997-1, 2014 |
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Estimation Of Non-Stationary Random Fields Through Space Deformation10th Conference on Geostatistics for Environmental Applications, Jul 2014, Paris, France |
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Interacting Markov chains algorithms for Bayesian inversionGRF - Sim workshop : Simulation of Gaussian and related Random Fields, Nov 2014, Bern, Switzerland |
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Estimation of Space Deformation Models for Non-stationary Random Functions21st International Conference on Computational Statistics, Aug 2014, Genève, Switzerland |
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Universal Kriging With Training ImagesgeoENV 2014, Jul 2014, Paris, France |
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Bayesian first arrival travel time tomography by interacting MCMCgeoENV 2014, Jul 2014, Paris, France |
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Spatial Estimation Using Universal Kriging with Training ImagesJSM 2014, Aug 2014, Boston, United States |
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Microseismic Monitoring - Consequences of Velocity Model Uncertainties on Event Location Uncertainties75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013, 2013, United Kingdom. pp.1 |
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Bayesian first arrival travel time tomography by interacting MCMC15th Annual Conference of the International Association for Mathematical Geosciences, Sep 2013, Madrid, Spain |
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Deux algorithmes pour la classification non supervisée de données géostatistiques45e Journées de Statistique, May 2013, France |
A new Bayesian approach of tomography and seismic event location dedicated to the estimation of the true uncertaintiesEGU General Assembly 2013, 2013, Austria |
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Optimization strategies for spatial sampling of air quality measurement surveys9 International geostatistics congress, Jun 2012, Oslo, Norway. 8p |
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Incomplete Cholesky decomposition for the kriging of large datasetsGeoENV 2012, 2012, Spain. pp.259 |
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Estimation of the velocity model uncertainties and of the associated uncertainties on microseismic event locations by a Bayesian approachAGU 2012 Fall Meeting, Dec 2012, United States |
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Domaining by clustering multivariate geostatistical dataNinth International Geostatistics Congress,, 2012, Norway, France. pp.455-466 |
Geostatistical Sampling Optimization of Contaminated FacilitiesgeoENV2012, 2012, Spain. pp.13 |
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Towards a better understanding of clogged steam generators: a sensitivity analysis of dynamic themohydraulic model outputICONE19 - 19th International Conference on Nuclear Engineering, Oct 2011, Osaka, Japan. 11 p. ; ICONE19-43254 |
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Microseismic Monitoring: Consequences of Velocity Model Uncertainties on Location UncertaintiesThird Passive Seismic Workshop, Eur. Ass. of Geoscientists and Engineers, Athens - Greece (2011), Mar 2011, Athens, Greece. pp.PAS31 |
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Inversion sismique dans un milieu aléatoire42e Journées de Statistique, 2011, Tunisie |
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Optimal spatial design for air quality measurement surveys: what criteria?Spatial Data Methods for Environmental and Ecological Processes - 2nd Edition, Sep 2011, Foggia, Italy |
Microseismic monitoring: new accurate estimate of velocity model uncertainties and consequences on location uncertaintiesEGU General Assembly 2011, Apr 2011, Austria |
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Continuity for kriging with moving neighborhood: a penalization approachIAMG 2010, Aug 2010, Hungary |
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Schéma d'échantillonnage pour les campagnes de mesures de la qualité de l'air : une approche par optimisation42èmes Journées de Statistique, 2010, Marseille, France, France |
Passive Seismic Monitoring - understanding and reducing event location uncertaintiesESC 2010 European Seismological Commission 32nd General Assembly, Sep 2010, Montpellier, France |
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Krigeage de grands jeux de données : une revueJournées de Géostatistique 2009, Sep 2009, Fontainebleau, France |
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History matching by interacting MCMC4th international EnKF workshop, Jun 2009, Bergen, Norway |
Scenario reduction in uranium ore deposit mining by In Situ RecoverySymposium on the uncertainty quantification in computational geosciences, Jan 2018, Orléans, France |
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Les effets de la crue de juin 2016 sur la qualité de l'eau du bassin de la SeineNicolas Flipo, Jean-Marie Mouchel, Cédric Fisson. Programme Interdisciplinaire de Recherche sur l'eau et l'environnement du bassin de la Seine (PIREN Seine), 2018, 978-2-490463-05-03 |
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Deep kernel learning for geostatistics2025 |
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Spline Interpolation on Compact Riemannian Manifolds2025 |
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The SPDE approach for spatio-temporal datasets with advection and diffusion2024 |
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Combining covariance tapering and lasso driven low rank decomposition for the kriging of large spatial datasets2018 |
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Estimation of Space Deformation Model for Non-stationary Random Functions2014 |
Rôle de la matière organique dans le métabolisme des rivières à bas débit.[Rapport de recherche] PIREN Seine. 2020 |
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Rapport final du projet Carnot : Géophysique stochastique2013 |
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4 particle filters for the SIR model2011 |
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Kriging for large data sets: A tentative comprehensive review2009 |
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INVERSION DES MODELES STOCHASTIQUES DE MILIEUX HETEROGENESMathématiques [math]. Université Pierre et Marie Curie - Paris VI, 2008. Français. ⟨NNT : ⟩ |
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Contributions géostatistiques à la quantification d’incertitudes en géosciencesStatistiques [math.ST]. Sorbonne Universite, 2021 |