Nicolas Desassis

78
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Publications

Publications

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Kriging Alluvial Thicknesses in Valley Bottoms Using Nonstationary Geometric Anisotropies

Jean-Louis Grimaud , Nicolas Desassis , Diana Chourio-Camacho , Didier Renard , Mike Pereira et al.

Mathematical Geosciences, 2025, ⟨10.1007/s11004-025-10200-w⟩

Article dans une revue hal-05142486v1

Neural Variational Data Assimilation with Uncertainty Quantification Using SPDE Priors

Maxime Beauchamp , Ronan Fablet , Simon Benaichouche , Pierre Tandeo , Nicolas Desassis et al.

Artificial Intelligence for the Earth Systems, 2025, 4 (3), pp.1-29. ⟨10.1175/AIES-D-24-0060.1⟩

Article dans une revue hal-05232110v1

Two-Dimensional Stochastic Structural Geomodeling with Deep Generative Adversarial Networks

Charlie Garayt , Nicolas Desassis , Samy Blusseau , Pierre-Marie Gibert , Jean Langanay et al.

Mathematical Geosciences, 2025, 57 (6), pp.1095-1114. ⟨10.1007/s11004-025-10188-3⟩

Article dans une revue hal-05338631v1
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The SPDE approach for spatio-temporal datasets with advection and diffusion

Lucia Clarotto , Denis Allard , Thomas Romary , Nicolas Desassis

Spatial Statistics, 2024, 62, pp.100847. ⟨10.1016/j.spasta.2024.100847⟩

Article dans une revue hal-04663802v1
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A stable deep adversarial learning approach for geological facies generation

Ferdinand Bhavsar , Nicolas Desassis , Fabien Ors , Thomas Romary

Computers & Geosciences, 2024, 190, pp.105638. ⟨10.1016/j.cageo.2024.105638⟩

Article dans une revue hal-04751800v1

A general framework for SPDE-based stationary random fields

Ricardo Carrizo Vergara , Denis Allard , Nicolas Desassis

Bernoulli, 2022, 28 (1), pp.1-32. ⟨10.3150/20-BEJ1317⟩

Article dans une revue hal-03533153v1

Geostatistics for Large Datasets on Riemannian Manifolds: A Matrix-Free Approach

Mike Pereira , Nicolas Desassis , Denis Allard

Journal of Data Science, 2022, pp.512-532. ⟨10.6339/22-JDS1075⟩

Article dans une revue hal-03916162v1

Analysing Temporal Variability in Spatial Distributions Using Min–Max Autocorrelation Factors: Sardine Eggs in the Bay of Biscay

Pierre Petitgas , Didier Renard , Nicolas Desassis , Martin Huret , Jean-Baptiste Romagnan et al.

Mathematical Geosciences, 2020, ⟨10.1007/s11004-019-09845-1⟩

Article dans une revue hal-02429543v1
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Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation

Mike Pereira , Nicolas Desassis

Spatial Statistics, 2019, 31, pp.100359. ⟨10.1016/j.spasta.2019.100359⟩

Article dans une revue hal-02283801v1
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Technical note: Water table mapping accounting for river-aquifer connectivity and human pressure

Mathias Maillot , Nicolas Flipo , Agnès Rivière , Nicolas Desassis , Didier Renard et al.

Hydrology and Earth System Sciences Discussions, 2019, pp.1-21. ⟨10.5194/hess-2019-101⟩

Article dans une revue hal-02283806v1
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Analyzing spatio-temporal data with R: Everything you always wanted to know - but were afraid to ask

Denis Allard , Maxime Beauchamp , Liliane Bel , Nicolas Desassis , Ghislain Geniaux et al.

Journal de la Société Française de Statistique, 2017, 158 (3), pp.124-158

Article dans une revue hal-02618656v1

A generalized convolution model and estimation for non-stationary random functions

Francky Fouedjio , Nicolas Desassis , Jacques Rivoirard

Spatial Statistics, 2016, ⟨10.1016/j.spasta.2016.01.002⟩

Article dans une revue hal-01421728v1

Estimation of space deformation model for non-stationary random functions

Francky Fouedjio , Nicolas Desassis , Thomas Romary

Spatial Statistics, 2015, 13, pp.45-61. ⟨10.1016/j.spasta.2015.05.001⟩

Article dans une revue hal-01219695v1

Propagation of the velocity model uncertainties to the seismic event location

Alexandrine Gesret , Nicolas Desassis , Mark S. Noble , Thomas Romary , Christophe Maisons

Geophysical Journal International, 2015, 200 ((1)), pp.52-66. ⟨10.1093/gji/ggu374⟩

Article dans une revue hal-01101233v1
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An automated MCEM algorithm for hierarchical models with multivariate and multitype response variables.

Vera Georgescu , Nicolas Desassis , Samuel S. Soubeyrand , André Kretzschmar , Rachid Senoussi

Communications in Statistics - Theory and Methods, 2014, 43 (17), pp.3698-3719. ⟨10.1080/03610926.2012.700372⟩

Article dans une revue hal-01115524v1

Automatic Variogram Modeling by Iterative Least Squares: Univariate and Multivariate Cases

Nicolas Desassis , Didier Renard

Mathematical Geology, 2013, 45 (4), pp 453-470 DOI 10.1007/s11004-012-9434-1. ⟨10.1007/s11004-012-9434-1⟩

Article dans une revue istex hal-00959647v1

Application of SPDE method to a continental-fluvial uranium ore body and comparison with classical methods

Marie-Cécile Febvey , Nicolas Desassis , Didier Renard

21th IAMG Conference (Nancy 2022), Sep 2022, Nancy, France

Communication dans un congrès hal-03925784v1

The SPDE approach for spatio-temporal datasets with advection and diffusion : A matrix-free approach

Lucia Clarotto , Denis Allard , Thomas Romary , Nicolas Desassis

15th 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⟩

Communication dans un congrès hal-03925751v1

Deep-learning spatial generation of geological facies

Ferdinand Bhavsar , Thomas Romary , Fabien Ors , Nicolas Desassis

21th IAMG Conference, Sep 2022, Nancy, France

Communication dans un congrès hal-03925773v1

First Steps in the Application of Physics-Informed Neural Networks to Full Waveform Inversion

Leo De Souza , Hervé Chauris , Nicolas Desassis , Elie Hachem

83rd EAGE Annual Conference & Exhibition Workshop Programme, Jun 2022, Madrid, Spain. pp.1-5, ⟨10.3997/2214-4609.202211045⟩

Communication dans un congrès hal-03901589v1

Spatio-temporal modeling with stochastic partial differential equations : simulation and inference

Lucia Clarotto , Denis Allard , Nicolas Desassis , Thomas Romary

21th IAMG Conference, Aug 2022, Nancy, France

Communication dans un congrès hal-03925779v1
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Adjustment of alluvial fill geometry to regressive erosion and bedrock lithology in the Oise valley, Seine River catchment (France)

Diana Chourio-Camacho , Jean-Louis Grimaud , Nicolas Desassis , Didier Renard , Hélène Tissoux et al.

Quaternaire 13, Mar 2022, Strasboug, France

Communication dans un congrès hal-04620920v1

Traçage de particules métalliques atmosphériques en zone urbaine par des mesures magnétiques sur des écorces d’arbre

Christine Franke , Claire Carvallo , Aude Isambert , Laure Turcati , Mélina Macouin et al.

PMAG2021 : Magnétisme en Sciences de la Terre, de l'Univers, Nov 2021, Gif-sur-Yvette, France

Communication dans un congrès hal-03523165v1

Some Geostatistical methods through the Stochastic Partial Differential Equation Approach

Didier Renard , Nicolas Desassis , Xavier Freulon

18th IAMG Conference, Perth, Sep 2017, Perth, Australia

Communication dans un congrès hal-01718948v1

Uncertainty estimation by probabilistic first arrival time tomography using Markov Chain Monte Carlo sampling

Alexandrine Gesret , Jihane Belhadj , Thomas Romary , Mark S. Noble , Nicolas Desassis

79th EAGE Conference and Exhibition 2017, 2017, Paris, France. ⟨10.3997/2214-4609.201701694⟩

Communication dans un congrès hal-01544651v1

Conditional Simulation of Gaussian Spatio-temporal Random Field With Specified Covariance, Based On the SPDE Approach

Nicolas Desassis , Ricardo Carrizo V. , Christian Lantuéjoul

27th Annual Conference of The International Environmetrics Society Jul 2017, BERGAMO, Jul 2017, Bergamo, Italy

Communication dans un congrès hal-01718950v1

Road crash density estimation for risk mapping

Mike Pereira , Nicolas Desassis

Spatial Statistics 2017: One World: One Health, Jul 2017, Lancaster, United Kingdom

Communication dans un congrès hal-01718964v1

Spatio-temporal covariance models as solutions of stochastic partial differential equations

Ricardo Carrizo V. , Nicolas Desassis , Denis Allard

Spatial Statistics 2017: One World: One Health, Jul 2017, Lancaster, United Kingdom

Communication dans un congrès hal-01718961v1

Covariance sale decomposition for the kriging of large datasets

Thomas Romary , Nicolas Desassis , Francky Fouedjio

Geostats 2016, Sep 2016, Valencia, Spain

Communication dans un congrès hal-01408632v1

A full scale, non stationary approach for the kriging of large datasets

Thomas Romary , Nicolas Desassis , Francky Fouedjio

Spatial Statistics Conference 2015, Jun 2015, Avignon, France

Communication dans un congrès hal-01219764v1

Estimation Of Non-Stationary Random Fields Through Space Deformation

Francky Fouedjio , Nicolas Desassis , Thomas Romary , Jacques Rivoirard

10th Conference on Geostatistics for Environmental Applications, Jul 2014, Paris, France

Communication dans un congrès hal-01024302v1

A Generalized Convolution Model and Estimation for Non-stationary Random Fields

Francky Fouedjio , Nicolas Desassis , Jacques Rivoirard

10th Conference on Geostatistics for Environmental Applications, Jul 2014, Paris, France

Communication dans un congrès hal-01024298v1

Estimation of Space Deformation Models for Non-stationary Random Functions

Francky Fouedjio , Nicolas Desassis , Thomas Romary

21st International Conference on Computational Statistics, Aug 2014, Genève, Switzerland

Communication dans un congrès hal-01067676v1

Bayesian first arrival travel time tomography by interacting MCMC

Thomas Romary , Alexis Bottero , Mark S. Noble , Alexandrine Gesret , Nicolas Desassis

geoENV 2014, Jul 2014, Paris, France

Communication dans un congrès hal-01089327v1

Experimental Variograms Of The Underlying Gaussian Random Functions In The Truncated Pluri- Gaussian Models

Nicolas Desassis , Didier Renard , Hélène Beucher , Stéphanie Hamilton , Joan Esterle

GeoEnv, 2014, Paris, France

Communication dans un congrès hal-01550707v1

Estimation de Fonctions Aléatoires Non-stationnaires de Second Ordre par Déformation Spatiale

Francky Fouedjio , Nicolas Desassis , Thomas Romary

46èmes journées de la Société Française de Statistique (SFdS), Jun 2014, Rennes, France. pp.242

Communication dans un congrès hal-01003065v1

Estimation Of Non-Stationary Random Fields Through Space Deformation

Francky Fouedjio , Nicolas Desassis , Thomas Romary

11th German Probability and Statistics Days, Mar 2014, Ulm, Germany

Communication dans un congrès hal-01003057v1

Bayesian seismic tomography by parallel interacting Markov chains

Alexandrine Gesret , Alexis Bottero , Thomas Romary , Mark S. Noble , Nicolas Desassis

EGU General Assembly, 2014, Austria. pp.Vol. 16, EGU2014-6997-1, 2014

Communication dans un congrès hal-00997035v1

A Generalized Convolution Model and Estimation for Non-stationary Random Fields

Francky Fouedjio , Nicolas Desassis , Jacques Rivoirard

Workshop Rencontres Statistiques Au Sommet de Rochebrune, Mar 2014, Rochebrune, France

Communication dans un congrès hal-01003060v1

Bayesian first arrival travel time tomography by interacting MCMC

Thomas Romary , Alexis Bottero , Alexandrine Gesret , Nicolas Desassis , Mark S. Noble

15th Annual Conference of the International Association for Mathematical Geosciences, Sep 2013, Madrid, Spain

Communication dans un congrès hal-00923610v1

A new Bayesian approach of tomography and seismic event location dedicated to the estimation of the true uncertainties

Alexandrine Gesret , Mark S. Noble , Nicolas Desassis , Thomas Romary

EGU General Assembly 2013, 2013, Austria

Communication dans un congrès hal-00843350v1

Microseismic Monitoring - Consequences of Velocity Model Uncertainties on Event Location Uncertainties

Alexandrine Gesret , Mark S. Noble , Nicolas Desassis , Thomas Romary

75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013, 2013, United Kingdom. pp.1

Communication dans un congrès hal-00843369v1

Simulation of a Gaussian random vector: A propagative version of the Gibbs sampler.

Christian Lantuéjoul , Nicolas Desassis

The 9th International Geostatistics Congress, Oslo., Jun 2012, Oslo, Norway. pp.1747181

Communication dans un congrès hal-00709250v1

Estimation of the velocity model uncertainties and of the associated uncertainties on microseismic event locations by a Bayesian approach

Alexandrine Gesret , Mark S. Noble , Nicolas Desassis , Thomas Romary

AGU 2012 Fall Meeting, Dec 2012, United States

Communication dans un congrès hal-00771540v1

Microseismic Monitoring: Consequences of Velocity Model Uncertainties on Location Uncertainties

Alexandrine Gesret , Mark S. Noble , Nicolas Desassis , Thomas Romary

Third Passive Seismic Workshop, Eur. Ass. of Geoscientists and Engineers, Athens - Greece (2011), Mar 2011, Athens, Greece. pp.PAS31

Communication dans un congrès hal-00578132v1

Simulation d'un vecteur gaussien: Une approche propagative de l'echantillonneur de Gibbs

Nicolas Desassis , Christian Lantuéjoul

43èmes journées de la Société Française de Statistique (SFdS), Tunis., May 2011, Tunis, Tunisie. pp.Inconnue

Communication dans un congrès hal-00709329v1

Inversion sismique dans un milieu aléatoire

Nicolas Desassis , Thomas Romary , Alexandrine Gesret , Mark S. Noble

42e Journées de Statistique, 2011, Tunisie

Communication dans un congrès hal-00693166v1

Microseismic monitoring: new accurate estimate of velocity model uncertainties and consequences on location uncertainties

Alexandrine Gesret , Mark S. Noble , Thomas Romary , Nicolas Desassis

EGU General Assembly 2011, Apr 2011, Austria

Communication dans un congrès hal-00578150v1

Passive Seismic Monitoring - understanding and reducing event location uncertainties

Mark S. Noble , Alexandrine Gesret , Nicolas Desassis , Thomas Romary

ESC 2010 European Seismological Commission 32nd General Assembly, Sep 2010, Montpellier, France

Communication dans un congrès hal-00518112v1
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Classification basée sur des mélanges de modèles hiérarchiques bivariés

Vera Georgescu , Nicolas Desassis , Samuel Soubeyrand , André Kretzschmar , Rachid Senoussi

42èmes Journées de Statistique, 2010, Marseille, France, France

Communication dans un congrès inria-00494852v1

Individual-based Modelling of Spatio-temporal of Forest Dynamics

Fabien Campillo , Nicolas Desassis , Vivien Rossi

Joint Meeting of the Statistical Society of Canada and the Société Française de Statistique, May 2008, Ottawa, Canada. n.p

Communication dans un congrès hal-00652079v1

Stochastic spatio-temporal modeling of forest dynamics

Fabien F. Campillo , Nicolas Desassis

24. International Biometric Conference, Jul 2008, Dublin, Ireland. n.p

Communication dans un congrès hal-00999939v1

Modélisation spatialement explicite d'une dynamique forestière et inférence

Fabien Campillo , Nicolas Desassis , Vivien Rossi

Journées MAS de la SMAI, Aug 2008, Rennes, France. n.p

Communication dans un congrès hal-00652081v1

Stochastic spatio-temporal modeling of forest dynamics

Fabien Campillo , Nicolas Desassis

International Biometric Conference, Jul 2008, Dublin, Ireland

Communication dans un congrès hal-00652074v1
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Neural SPDE solver for uncertainty quantification in high-dimensional ocean dynamics

Maxime Beauchamp , Pierre Tandeo , Nicolas Desassis , Ronan Fablet

2024 - 55th International Liege Colloquium on Ocean Dynamics, May 2024, Liège (B), Belgium. pp.1-1, 2024

Poster de conférence hal-04675414v1
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New constraints on the age and geometry of alluvial fills in the valley bottoms of the Seine River catchment (France)

Diana Chourio-Camacho , Jean-Louis Grimaud , Fabien Ors , Nicolas Desassis , Didier Renard et al.

JOURNÉE AFEQ-SGF – 60 ANS D’ÉTUDES SUR LE QUATERNAIRE : LE PASSÉ A DE L’AVENIR, Nov 2022, Paris, France

Poster de conférence hal-04620913v1

Kriging

Xavier Freulon , Nicolas Desassis

Encyclopedia of Mathematical Geosciences, Springer International Publishing, pp.1-9, 2022, Encyclopedia of Earth Sciences Series, ⟨10.1007/978-3-030-26050-7_18-1⟩

Chapitre d'ouvrage hal-03511188v1

Fifty Years of Kriging

Jean-Paul Chilès , Nicolas Desassis

Handbook of Mathematical Geosciences, Springer International Publishing, pp.589-612, 2018

Chapitre d'ouvrage hal-02283798v1
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Deep kernel learning for geostatistics

Thomas Romary , Solal Raymondjean , Nicolas Desassis

2025

Pré-publication, Document de travail hal-05165114v2
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Prediction of spatio-temporal data on meshed surfaces using advection-diffusion SPDEs

Mike Pereira , Lucia Clarotto , Nicolas Desassis

2025

Pré-publication, Document de travail hal-04132148v2
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The SPDE approach for spatio-temporal datasets with advection and diffusion

Lucia Clarotto , Denis Allard , Thomas Romary , Nicolas Desassis

2024

Pré-publication, Document de travail hal-03762403v4
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Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors

Maxime Beauchamp , Ronan Fablet , Simon Benaichouche , Pierre Tandeo , Nicolas Desassis et al.

2024

Pré-publication, Document de travail hal-04675468v1
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Geostatistics for large datasets on Riemannian manifolds: a matrix-free approach

Mike Pereira , Nicolas Desassis , Denis Allard

2022

Pré-publication, Document de travail hal-03760694v2

A general framework for SPDE-based stationary random fields

Ricardo Carrizo Vergara , Denis Allard , Nicolas Desassis

2019

Pré-publication, Document de travail hal-02075383v1

Efficient simulation of Gaussian Markov random fields by Chebyshev polynomial approximation

Mike Pereira , Nicolas Desassis

2019

Pré-publication, Document de travail hal-02075386v1
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Finite element approximation of non-Markovian random fields

Mike Pereira , Nicolas Desassis

2018

Pré-publication, Document de travail hal-01913048v1
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Combining covariance tapering and lasso driven low rank decomposition for the kriging of large spatial datasets

Thomas Romary , Nicolas Desassis

2018

Pré-publication, Document de travail hal-01799970v1
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A pairwise likelihood approach for the empirical estimation of the underlying variograms in the plurigaussian models

Nicolas Desassis , Didier Renard , Hélène Beucher , Sylvain Petiteau , Xavier Freulon

2015

Pré-publication, Document de travail hal-01213962v2
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A Generalized Convolution Model and Estimation for Non-stationary Random Functions

Francky Fouedjio , Nicolas Desassis , Jacques Rivoirard

2014

Pré-publication, Document de travail hal-01090354v1
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Estimation of Space Deformation Model for Non-stationary Random Functions

Francky Fouedjio , Nicolas Desassis , Thomas Romary

2014

Pré-publication, Document de travail hal-01090350v1
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Automatic variogram modeling by iterative least squares. Univariate and multivariate cases.

Nicolas Desassis , Didier Renard

2012

Pré-publication, Document de travail hal-00707887v2