Adaptive sequential Monte Carlo for posterior inference and model selection among complex geological priors M Amaya, N Linde, E Laloy Geophysical Journal International 226 (2), 1220-1238, 2021 | 9 | 2021 |
High resolution mapping of ice mass loss in the Gulf of Alaska from constrained forward modeling of GRACE data C Doumbia, P Castellazzi, AN Rousseau, M Amaya Frontiers in Earth Science 7, 360, 2020 | 7 | 2020 |
Hydrogeological multiple-point statistics inversion by adaptive sequential Monte Carlo M Amaya, N Linde, E Laloy Advances in Water Resources 166, 104252, 2022 | 4 | 2022 |
Bayesian tomography using polynomial chaos expansion and deep generative networks GA Meles, M Amaya, S Levy, S Marelli, N Linde Geophysical Journal International 237 (1), 31-48, 2024 | 2 | 2024 |
Multifidelity adaptive sequential Monte Carlo for geophysical inversion M Amaya, G Meles, S Marelli, N Linde Geophysical Journal International, ggae040, 2024 | 1 | 2024 |
Identificación y caracterización de paleocauces mediante tomografías de resistividad eléctrica en Miraflores, Chaco M Amaya Universidad Nacional de La Plata, 2018 | 1 | 2018 |
SURROGATE-BASED BAYESIAN TRAVELTIME TOMOGRAPHY WITH GEOLOGICALLY-COMPLEX PRIORS GA Meles, M Amaya, S Levy, S Marelli, N Linde | | 2023 |
Efficient Bayesian travel-time tomography with geologically-complex priors using sensitivity-informed polynomial chaos expansion and deep generative networks GA Meles, M Amaya, S Levy, S Marelli, N Linde arXiv preprint arXiv:2307.04228, 2023 | | 2023 |
Geophysical and Hydrogeological Bayesian Inversion by Adaptive Sequential Monte Carlo M Amaya éditeur non identifié, 2023 | | 2023 |
Adaptive Sequential Monte Carlo in the Context of Hydrogeological Inverse Problems with Complex Spatial Priors M Amaya, N Linde, E Laloy AGU Fall Meeting Abstracts 2022, H22C-03, 2022 | | 2022 |
Hydrogeological inference by adaptive sequential Monte Carlo with geostatistical resampling model proposals M Amaya, N Linde, E Laloy EGU General Assembly Conference Abstracts, EGU22-3691, 2022 | | 2022 |
Adaptive Sequential Monte Carlo (SMC) for Posterior Inference and Model Selection among Complex Geological Priors Encoded through Deep Generative Neural Networks M Amaya, N Linde, E Laloy, A Doucet AGU Fall Meeting Abstracts 2020, H108-0007, 2020 | | 2020 |
Corrigendum: High Resolution Mapping of Ice Mass Loss in the Gulf of Alaska From Constrained Forward Modeling of GRACE Data C Doumbia, P Castellazzi, AN Rousseau, M Amaya Frontiers in Earth Science 8, 57, 2020 | | 2020 |
High Resolution Mapping of Glacier Mass Loss in Yukon and Alaska Derived from GRACE Data C Doumbia, P Castellazzi, AN Rousseau, M Amaya AGU Fall Meeting Abstracts 2018, H51M-1466, 2018 | | 2018 |
Identification and evaluation of groundwater resources for small rural and aboriginal communities in Chaco, Argentina L Guarracino, M Amaya, S Perdomo, A Juarez, G Gelpi, J Pendiuk, ... SEG International Exposition and Annual Meeting, SEG-2018-2992509, 2018 | | 2018 |
Cartographie à haute résolution de la perte de masse des glaciers au Yukon et en Alaska dérivée de données de GRACE. C Doumbia, P Castellazzi, AN Rousseau, M Amaya | | |