87 citations · 247 across the 7 of their papers we have counts for
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cs.LG2019
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties
Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth +7
Machine learning techniques have been successfully applied to super-resolution tasks on natural images where visually pleasing results are sufficient. However in many scientific do…
astro-ph.SR2019★ 87 cited
A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission
Richard Galvez, David F. Fouhey, Meng Jin +8
In this paper we present a curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. Beginning from level 1 scienti…