Publications en Géostatistique



571 documents

  • Charlie Sire, Mike Pereira, Thomas Romary. Spline Interpolation on Compact Riemannian Manifolds. 2025. ⟨hal-05313523⟩
  • Thomas Romary, Solal Raymondjean, Nicolas Desassis. Deep kernel learning for geostatistics. 2025. ⟨hal-05165114v2⟩
  • Mike Pereira, Lucia Clarotto, Nicolas Desassis. Prediction of spatio-temporal data on meshed surfaces using advection-diffusion SPDEs. 2025. ⟨hal-04132148v2⟩
  • Jean-Louis Grimaud, Nicolas Desassis, Diana Chourio-Camacho, Didier Renard, Mike Pereira, et al.. Kriging Alluvial Thicknesses in Valley Bottoms Using Nonstationary Geometric Anisotropies. Mathematical Geosciences, 2025, ⟨10.1007/s11004-025-10200-w⟩. ⟨hal-05142486⟩
  • Gabriel Victorino Cardoso, Mike Pereira. Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data. 2025. ⟨hal-05080651⟩
  • Grégoire Jacquemin, Denis Allard, Xavier Freulon, Mathieu Vrac. Return period of non-concurrent climate compound events: a non parametric bivariate Generalized Pareto approach. 2025. ⟨hal-05045625⟩
  • Charlie Garayt, Nicolas Desassis, Samy Blusseau, Pierre-Marie Gibert, Jean Langanay, et al.. Two-Dimensional Stochastic Structural Geomodeling with Deep Generative Adversarial Networks. Mathematical Geosciences, 2025, 57 (6), pp.1095-1114. ⟨10.1007/s11004-025-10188-3⟩. ⟨hal-05338631⟩
  • Shuaitao Wang, Nicolas Flipo, Josette Garnier, Thomas Romary. Bayesian inversion of bacterial physiology and dissolved organic carbon biodegradability on water incubation data. Science of the Total Environment, 2024, 955, pp.177252. ⟨10.1016/j.scitotenv.2024.177252⟩. ⟨hal-04765188⟩
  • Lucia Clarotto, Denis Allard, Thomas Romary, Nicolas Desassis. The SPDE approach for spatio-temporal datasets with advection and diffusion. Spatial Statistics, 2024, 62, pp.100847. ⟨10.1016/j.spasta.2024.100847⟩. ⟨hal-04663802⟩
  • Ferdinand Bhavsar, Nicolas Desassis, Fabien Ors, Thomas Romary. A stable deep adversarial learning approach for geological facies generation. Computers & Geosciences, 2024, 190, pp.105638. ⟨10.1016/j.cageo.2024.105638⟩. ⟨hal-04751800⟩