1 citations · 2 across the 3 of their papers we have counts for
3 papers
Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures
Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth +9
The solar wind consists of charged particles ejected from the Sun into interplanetary space and towards Earth. Understanding the magnetic field of the solar wind is crucial for pre…
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks
J. Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan +6
Magnetic activity in stars manifests as dark spots on their surfaces that modulate the brightness observed by telescopes. These light curves contain important information on stella…
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…