Juan Emmanuel Johnson

16 papers B 1C 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Estimating Information Theoretic Measures via Multidimensional Gaussianization.
IEEE Trans. Pattern Anal. Mach. Intell.
Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
2025 J jnl
Operational machine learning for remote spectroscopic detection of CH
CoRR
Vít Ruzicka, Gonzalo Mateo-García, Itziar Irakulis-Loitxate, Juan Emmanuel Johnson, Manuel Montesino San Martín, Anna Allen, Luis Guanter, David R. Thompson
2023 J jnl
Learning latent functions for causal discovery.
Mach. Learn. Sci. Technol.
Emiliano Diaz, Gherardo Varando, Juan Emmanuel Johnson, Gustau Camps-Valls
2022 J jnl
Learning Relevant Features of Optical Water Types.
IEEE Geosci. Remote. Sens. Lett.
Katalin Blix, Ana Belen Ruescas, Juan Emmanuel Johnson, Gustau Camps-Valls
2022 B conf
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization.
ICIP
Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo
2022 J jnl
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization.
CoRR
Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo
2022 — conf
The Kernelized Taylor Diagram.
NAIS
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2022 J jnl
The Kernelized Taylor Diagram.
CoRR
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2020 J jnl
Accounting for Input Noise in Gaussian Process Parameter Retrieval.
CoRR
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
2020 J jnl
Accounting for Input Noise in Gaussian Process Parameter Retrieval.
IEEE Geosci. Remote. Sens. Lett.
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
2020 J jnl
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models.
CoRR
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
2020 J jnl
Information Theory Measures via Multidimensional Gaussianization.
CoRR
Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesus Malo
2020 J jnl
Information Theory in Density Destructors.
CoRR
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
2020 J jnl
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences.
CoRR
Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls
2020 J jnl
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks.
CoRR
Juan Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan, Lisseth Gavilan, Daniel K. Giles, Stela Ishitani Silva, Anna Jungbluth, Brett M. Morris, Andrés Muñoz-Jaramillo
2018 C conf
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models.
IGARSS
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls