Juan Emmanuel Johnson

According to our database, Juan Emmanuel Johnson authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Learning latent functions for causal discovery.

Emiliano Diaz, Gherardo Varando, Juan Emmanuel Johnson, Gustau Camps-Valls

Mach. Learn. Sci. Technol., September, 2023

2022

Learning Relevant Features of Optical Water Types.

Katalin Blix, Ana Belen Ruescas, Juan Emmanuel Johnson, Gustau Camps-Valls

IEEE Geosci. Remote. Sens. Lett., 2022

The Kernelized Taylor Diagram.

Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen

Proceedings of the Nordic Artificial Intelligence Research and Development, 2022

Orthonormal Convolutions for the Rotation Based Iterative Gaussianization.

Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2020

Accounting for Input Noise in Gaussian Process Parameter Retrieval.

Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls

IEEE Geosci. Remote. Sens. Lett., 2020

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

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

CoRR, 2020

Information Theory in Density Destructors.

Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo

CoRR, 2020

Information Theory Measures via Multidimensional Gaussianization.

Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesus Malo

CoRR, 2020

Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences.

Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls

CoRR, 2020

2018

Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models.

Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018