J. Emmanuel Johnson

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Citations	107	99
h-index	6	6
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Gustau Camps-VallsProfessor. Fellow IEEE/ELLIS/ESF/EurASC/AE. Image Processing Lab (IPL). Universitat de ValènciaVerified email at uv.es
Valero LaparraUniversitat de ValènciaVerified email at uv.es
Jesus MaloProfessor of Vision Science, Universitat de ValenciaVerified email at uv.es
Raúl Santos-RodríguezUniversity of BristolVerified email at bristol.ac.uk
María PilesResearch scientist (UV)Verified email at uv.es
Ana Belén Ruescas OrientUniversity of València, SpainVerified email at uv.es
Robert J. WeaverAssociate Professor of Ocean Engineering, Florida Institute of TechnologyVerified email at fit.edu
Raphaëlle SauzèdeInstitut de la Mer de Villefranche (IMEV)Verified email at imev-mer.fr
Herve ClaustreSenior Scientist at CNRS and Sorbonne UniversityVerified email at obs-vlfr.fr
Miguel D. MahechaLeipzig University, Remote Sensing Centre for Earth System ResearchVerified email at uni-leipzig.de
Stela Ishitani SilvaPostdoctorate Research Assistant, NASA GSFCVerified email at cua.edu
Sairam SundaresanIntel LabsVerified email at intel.com
Brett M. MorrisSpace Telescope Science InstituteVerified email at stsci.edu
Lisseth GavilanNASA Ames Research CenterVerified email at nasa.gov
Tansu DaylanAssistant Professor of PhysicsVerified email at wustl.edu
Andrés Muñoz JaramilloSouthWest Research InstituteVerified email at boulder.swri.edu
Anna JungbluthUniversity of OxfordVerified email at physics.ox.ac.uk
Nathan CahillRochester Institute of TechnologyVerified email at rit.edu
Dr. Charles M. BachmannRochester Institute of TechnologyVerified email at g.rit.edu
Diego MirallesResearch Professor, Ghent UniversityVerified email at ugent.be

J. Emmanuel Johnson

Postdoctoral Researcher

Verified email at univ-grenoble-alpes.fr - Homepage

Generative Models Probabilistic Models Oceanography Climate Information Theory


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Wind-driven circulation in a shallow microtidal estuary: The Indian River Lagoon RJ Weaver, JE Johnson, M Ridler Journal of Coastal Research 32 (6), 1333-1343, 2016	22	2016
Estimation of oceanic particulate organic carbon with machine learning R Sauzède, JE Johnson, H Claustre, G Camps-Valls, AB Ruescas ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020	13	2020
Accounting for input noise in Gaussian process parameter retrieval JE Johnson, V Laparra, G Camps-Valls IEEE Geoscience and Remote Sensing Letters 17 (3), 391 - 395, 2019	13	2019
Kernel methods and their derivatives: Concept and perspectives for the earth system sciences JE Johnson, V Laparra, A Pérez-Suay, MD Mahecha, G Camps-Valls Plos one 15 (10), e0235885, 2020	11	2020
Information theory in density destructors JE Johnson, V Laparra, R Santos-Rodriguez, G Camps-Valls, J Malo arxiv, 2019	10	2019
Information theory measures via multidimensional gaussianization V Laparra, JE Johnson, G Camps-Valls, R Santos-Rodríguez, J Malo arXiv preprint arXiv:2010.03807, 2020	9	2020
Rotnet: Fast and scalable estimation of stellar rotation periods using convolutional neural networks JE Johnson, S Sundaresan, T Daylan, L Gavilan, DK Giles, SI Silva, ... arXiv preprint arXiv:2012.01985, 2020	6	2020
Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis JE Johnson, V Laparra, M Piles, G Camps-Valls IEEE Geoscience and Remote Sensing Magazine, 2021	5	2021
Schroedinger Eigenmaps for manifold alignment of multimodal hyperspectral images JE Johnson Rochester Institute of Technology, 2016	5	2016
Manifold alignment with Schroedinger eigenmaps JE Johnson, CM Bachmann, ND Cahill Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2016	4	2016
Orthonormal convolutions for the rotation based iterative gaussianization V Laparra, A Hepburn, JE Johnson, J Malo 2022 IEEE International Conference on Image Processing (ICIP), 4018-4022, 2022	2	2022
The Kernelized Taylor Diagram K Wickstrøm, JE Johnson, S Løkse, G Camps-Valls, KØ Mikalsen, ... Symposium of the Norwegian AI Society, 125-131, 2022	2	2022
Estimating information in Earth data cubes JE Johnson, E Diaz, V Laparra, M Mahecha, D Miralles, G Camps-Valls EGU General Assembly Conference Abstracts, 12702, 2018	2	2018
Learning latent functions for causal discovery E Díaz, G Varando, JE Johnson, G Camps-Valls Machine Learning: Science and Technology, 2023	1	2023
Learning relevant features of optical water types K Blix, AB Ruescas, JE Johnson, G Camps-Valls IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021	1	2021
Disentangling derivatives, uncertainty and error in gaussian process models JE Johnson, V Laparra, G Camps-Valls IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018	1	2018
Invertible neural networks for satellite retrievals of aerosol optical depth P Pelucchi, J Vicent, JE Johnson, P Stier, G Camps-Valls EGU23, 2023		2023
Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables JE Johnson, R Lguensat, R Fablet, E Cosme, JL Sommer arXiv preprint arXiv:2211.10444, 2022		2022
Clouds aware flood extent segmentation for emergency response services G Mateo-Garcia, E Portales, F Liu, E Nemni, JE Johnson, L Kruitwagen, ... AGU Fall Meeting Abstracts 2021, NH44A-05, 2021		2021
Spatio-Temporal Gaussianization Flows for Extreme Event Detection MÁ Fernández-Torres, JE Johnson, M Piles, G Camps-Valls EGU General Assembly Conference Abstracts, EGU21-15729, 2021		2021

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