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)

Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona. - Valentina Salvatelli; Souvik Bose; Brad Neuberg; Luiz F. G. dos Santos; Mark C. M. Cheung; Miho Janvier; Atilim Gunes Baydin; Yarin Gal; Meng Jin (CoRR, 2019)

Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning. - Brad Neuberg; Souvik Bose; Valentina Salvatelli; Luiz F. G. dos Santos; Mark C. M. Cheung; Miho Janvier; Atilim Gunes Baydin; Yarin Gal; Meng Jin (CoRR, 2019)

Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning. - Luiz F. G. dos Santos; Souvik Bose; Valentina Salvatelli; Brad Neuberg; Mark C. M. Cheung; Miho Janvier; Meng Jin; Yarin Gal; Paul Boerner; Atilim Günes Baydin (CoRR, 2020)

aiapy: A Python Package for Analyzing Solar EUV Image Data from AIA. - Will T. Barnes; Mark C. M. Cheung; Monica G. Bobra; Paul Boerner; Georgios Chintzoglou; Drew Leonard; Stuart Mumford; Nicholas Padmanabhan; Albert J. Shih; Nina Shirman; David Stansby; Paul J. Wright (J. Open Source Softw., 2020)

Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition. - Panagiotis Tigas; Téo Bloch; Vishal Upendran; Banafsheh Ferdoushi; Mark C. M. Cheung; Siddha Ganju; Ryan M. McGranaghan; Yarin Gal; Asti Bhatt (CoRR, 2021)

SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory. - Richard E. L. Higgins; David F. Fouhey; Spiro K. Antiochos; Graham Barnes; Mark C. M. Cheung; J. Todd Hoeksema; K. D. Leka; Yang Liu; Peter W. Schuck; Tamas I. Gombosi (CoRR, 2021)

Global geomagnetic perturbation forecasting using Deep Learning. - Vishal Upendran; Panagiotis Tigas; Banafsheh Ferdousi; Téo Bloch; Mark C. M. Cheung; Siddha Ganju; Asti Bhatt; Ryan M. McGranaghan; Yarin Gal (CoRR, 2022)

Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation. - Valentina Salvatelli; Luiz F. G. dos Santos; Souvik Bose; Brad Neuberg; Mark C. M. Cheung; Miho Janvier; Meng Jin; Yarin Gal; Atilim Gunes Baydin (CoRR, 2022)

Science Platforms for Heliophysics Data Analysis. - Monica G. Bobra; Will T. Barnes; Thomas Y. Chen; Mark C. M. Cheung; Laura A. Hayes; Jack Ireland; Miho Janvier; Michael S. F. Kirk; James Mason; Stuart Mumford; Paul J. Wright (CoRR, 2023)

Surface Flux Transport Modelling using Physics Informed Neural Networks. - Jithu J. Athalathil; Bhargav Vaidya; Sayan Kundu; Vishal Upendran; Mark C. M. Cheung (CoRR, 2024)