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08/29/2023
Probabilistic solar flare forecasting using historical magnetogram data
Solar flare forecasting research using machine learning (ML) has focused...
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08/29/2023
Efficient labeling of solar flux evolution videos by a deep learning model
Machine learning (ML) is becoming a critical tool for interrogation of l...
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08/20/2023
Homogenising SoHO/EIT and SDO/AIA 171Å Images: A Deep Learning Approach
Extreme Ultraviolet images of the Sun are becoming an integral part of s...
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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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11/04/2019
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses
Breakthroughs in our understanding of physical phenomena have traditiona...
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11/04/2019
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties
Machine learning techniques have been successfully applied to super-reso...
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03/11/2019
