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Juan Emmanuel Johnson
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2020 – today
- 2025
- [j4]Valero Laparra
, Juan Emmanuel Johnson
Estimating Information Theoretic Measures via Multidimensional Gaussianization. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 1293-1308 (2025) - 2023
- [j3]Emiliano Diaz
Learning latent functions for causal discovery. Mach. Learn. Sci. Technol. 4(3): 35004 (2023) - 2022
- [j2]Katalin Blix
Learning Relevant Features of Optical Water Types. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c3]Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. ICIP 2022: 4018-4022 - [c2]Kristoffer Wickstrøm
The Kernelized Taylor Diagram. NAIS 2022: 125-131 - [i8]Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen:
The Kernelized Taylor Diagram. CoRR abs/2205.08864 (2022) - [i7]Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo:
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. CoRR abs/2206.03860 (2022) - 2020
- [j1]Juan Emmanuel Johnson
Accounting for Input Noise in Gaussian Process Parameter Retrieval. IEEE Geosci. Remote. Sens. Lett. 17(3): 391-395 (2020) - [i6]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Accounting for Input Noise in Gaussian Process Parameter Retrieval. CoRR abs/2005.09907 (2020) - [i5]Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls:
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences. CoRR abs/2007.14706 (2020) - [i4]Valero Laparra
Information Theory Measures via Multidimensional Gaussianization. CoRR abs/2010.03807 (2020) - [i3]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo:
Information Theory in Density Destructors. CoRR abs/2012.01012 (2020) - [i2]Juan Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks. CoRR abs/2012.01985 (2020) - [i1]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. CoRR abs/2012.04947 (2020)
2010 – 2019
- 2018
- [c1]Juan Emmanuel Johnson, Valero Laparra
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. IGARSS 2018: 4051-4054
Coauthor Index
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