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)

Identifying Flux Rope Signatures Using a Deep Neural Network. - Luiz F. G. dos Santos; Ayris Narock; Teresa Nieves-Chinchilla; Marlon Núñez; Michael Kirk (CoRR, 2020)

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)

Identification of Flux Rope Orientation via Neural Networks. - Thomas W. Narock; Ayris Narock; Luiz F. G. dos Santos; Teresa Nieves-Chinchilla (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)

Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory. - John C. Dorelli; Christopher M. Bard; Thomas Y. Chen; Daniel da Silva; Luiz Fernando Guides dos Santos; Jack Ireland; Michael Kirk; Ryan McGranaghan; Ayris Narock; Teresa Nieves-Chinchilla; Marilia Samara; Menelaos Sarantos; et al. (CoRR, 2022)