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06/27/2023
Machine learning in solar physics
The application of machine learning in solar physics has the potential t...
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06/21/2023
Accelerating Multiframe Blind Deconvolution via Deep Learning
Ground-based solar image restoration is a computationally expensive proc...
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06/12/2023
High-precision interpolation of stellar atmospheres with a deep neural network using a 1D convolutional auto encoder for feature extraction
Given the widespread availability of grids of models for stellar atmosph...
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11/20/2021
Accelerating non-LTE synthesis and inversions with graph networks
Context: The computational cost of fast non-LTE synthesis is one of the ...
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08/20/2021
Approximate Bayesian Neural Doppler Imaging
The non-uniform surface temperature distribution of rotating active star...
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12/08/2020
Planet cartography with neural learned regularization
Finding potential life harboring exo-Earths is one of the aims of exopla...
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06/02/2020
Learning to do multiframe blind deconvolution unsupervisedly
Observation from ground based telescopes are affected by the presence of...
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04/07/2019
Stokes Inversion based on Convolutional Neural Networks
Spectropolarimetric inversions are routinely used in the field of Solar ...
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06/09/2017
Enhancing SDO/HMI images using deep learning
The Helioseismic and Magnetic Imager (HMI) provides continuum images and...
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03/15/2017
