The best of both worlds: Using automatic detection and limited human supervision to create a homogenous magnetic catalog spanning four solar cycles. - Andrés Muñoz-Jaramillo; Z. A. Werginz; J. P. Vargas-Acosta; M. D. DeLuca; J. C. Windmueller; J. Zhang; D. W. Longcope; Derek A. Lamb; C. E. DeForest; S. Vargas-Dominguez; J. W. Harvey; P. C. H. Martens (IEEE BigData, 2016)

A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission. - Richard Galvez; David F. Fouhey; Meng Jin; Alexandre Szenicer; Andrés Muñoz-Jaramillo; Mark C. M. Cheung; Paul J. Wright; Monica G. Bobra; Yang Liu; James Mason; Rajat Thomas (CoRR, 2019)

Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties. - Xavier Gitiaux; Shane A. Maloney; Anna Jungbluth; Carl Shneider; Paul J. Wright; Atilim Günes Baydin; Michel Deudon; Yarin Gal; Alfredo Kalaitzis; Andrés Muñoz-Jaramillo (CoRR, 2019)

Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses. - Anna Jungbluth; Xavier Gitiaux; Shane A. Maloney; Carl Shneider; Paul J. Wright; Alfredo Kalaitzis; Michel Deudon; Atilim Günes Baydin; Yarin Gal; Andrés Muñoz-Jaramillo (CoRR, 2019)

RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks. - Juan Emmanuel Johnson; Sairam Sundaresan; Tansu Daylan; Lisseth Gavilan; Daniel K. Giles; Stela Ishitani Silva; Anna Jungbluth; Brett M. Morris; Andrés Muñoz-Jaramillo (CoRR, 2020)

Converter software to calibrate and super-resolve solar magnetograms. - Andrés Muñoz-Jaramillo; Xavier Gitiaux; Anna Jungbluth; Shane A. Maloney; Carl Shneider; Paul J. Wright; Michel Deudon; Alfredo Kalaitzis; Atilim Günes Baydin; Yarin Gal (Zenodo, 2020)

Homogenising SoHO/EIT and SDO/AIA 171Å Images: A Deep Learning Approach. - Subhamoy Chatterjee; Andrés Muñoz-Jaramillo; Maher A. Dayeh; Hazel M. Bain; Kimberly Moreland (CoRR, 2023)

Efficient labeling of solar flux evolution videos by a deep learning model. - Subhamoy Chatterjee; Andrés Muñoz-Jaramillo; Derek A. Lamb (CoRR, 2023)

Probabilistic solar flare forecasting using historical magnetogram data. - Kiera van der Sande; Andrés Muñoz-Jaramillo; Subhamoy Chatterjee (CoRR, 2023)

MEMPSEP III. A machine learning-oriented multivariate data set for forecasting the Occurrence and Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach. - Kimberly Moreland; Maher A. Dayeh; Hazel M. Bain; Subhamoy Chatterjee; Andrés Muñoz-Jaramillo; Samuel Hart (CoRR, 2023)

Deep Generative model that uses physical quantities to generate and retrieve solar magnetic active regions. - Subhamoy Chatterjee; Andrés Muñoz-Jaramillo; Anna Malanushenko (CoRR, 2025)