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11/18/2022
Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables
Optimal Interpolation (OI) is a widely used, highly trusted algorithm fo...
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06/08/2022
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization
In this paper we elaborate an extension of rotation-based iterative Gaus...
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05/18/2022
The Kernelized Taylor Diagram
This paper presents the kernelized Taylor diagram, a graphical framework...
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12/02/2020
Information Theory in Density Destructors
Density destructors are differentiable and invertible transforms that ma...
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12/02/2020
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks
Magnetic activity in stars manifests as dark spots on their surfaces tha...
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10/13/2020
Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis
Information theory is an excellent framework for analyzing Earth system ...
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10/08/2020
Information Theory Measures via Multidimensional Gaussianization
Information theory is an outstanding framework to measure uncertainty, d...
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07/29/2020
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences
Kernel methods are powerful machine learning techniques which implement ...
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05/20/2020