research
∙
06/27/2023
Machine learning in solar physics
The application of machine learning in solar physics has the potential t...
share
research
∙
06/21/2023
Accelerating Multiframe Blind Deconvolution via Deep Learning
Ground-based solar image restoration is a computationally expensive proc...
research
∙
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...
research
∙
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 ...
research
∙
08/20/2021
Approximate Bayesian Neural Doppler Imaging
The non-uniform surface temperature distribution of rotating active star...
research
∙
12/08/2020
Planet cartography with neural learned regularization
Finding potential life harboring exo-Earths is one of the aims of exopla...
research
∙
06/02/2020
Learning to do multiframe blind deconvolution unsupervisedly
Observation from ground based telescopes are affected by the presence of...
research
∙
04/07/2019
Stokes Inversion based on Convolutional Neural Networks
Spectropolarimetric inversions are routinely used in the field of Solar ...
research
∙
06/09/2017
Enhancing SDO/HMI images using deep learning
The Helioseismic and Magnetic Imager (HMI) provides continuum images and...
research
∙
03/15/2017