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J. Emmanuel Johnson

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SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes

Feb 02, 2024
Maxime Beauchamp, Nicolas Desassis, J. Emmanuel Johnson, Simon Benaichouche, Pierre Tandeo, Ronan Fablet

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OceanBench: The Sea Surface Height Edition

Sep 27, 2023
J. Emmanuel Johnson, Quentin Febvre, Anastasia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet

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Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables

Nov 18, 2022
J. Emmanuel Johnson, Redouane Lguensat, Ronan Fablet, Emmanuel Cosme, Julien Le Sommer

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Orthonormal Convolutions for the Rotation Based Iterative Gaussianization

Jun 08, 2022
Valero Laparra, Alexander Hepburn, J. Emmanuel Johnson, Jesús Malo

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The Kernelized Taylor Diagram

May 18, 2022
Kristoffer Wickstrøm, J. Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen

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RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks

Dec 04, 2020
J. Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan, Lisseth Gavilan, Daniel K. Giles, Stela Ishitani Silva, Anna Jungbluth, Brett Morris, Andrés Muñoz-Jaramillo

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Information Theory in Density Destructors

Dec 02, 2020
J. Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raul Santos-Rodríguez, Jesús Malo

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Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis

Oct 13, 2020
J. Emmanuel Johnson, Valero Laparra, Maria Piles, Gustau Camps-Valls

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Information Theory Measures via Multidimensional Gaussianization

Oct 08, 2020
Valero Laparra, J. Emmanuel Johnson, Gustau Camps-Valls, Raul Santos-Rodríguez, Jesus Malo

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