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Meng Jin

Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation

Aug 19, 2022
Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Atilim Gunes Baydin

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* 16 pages, 8 figures. To be published on ApJ (submitted on Feb 21st, accepted on July 28th)

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Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles

Dec 16, 2021
Bernard Benson, Edward Brown, Stefano Bonasera, Giacomo Acciarini, Jorge A. Pérez-Hernández, Eric Sutton, Moriba K. Jah, Christopher Bridges, Meng Jin, Atılım Güneş Baydin

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* Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021)

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Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning

Feb 01, 2021
Luiz F. G. dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atılım Güneş Baydin

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* 12 pages, 7 figures, 8 tables. This is a pre-print of an article submitted and accepted by A&A Journal

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Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning

Nov 10, 2019
Brad Neuberg, Souvik Bose, Valentina Salvatelli, Luiz F. G. dos Santos, Mark Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

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* 6 pages, 3 figures, Accepted at NeurIPS 2019 Workshop ML4PS

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Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona

Nov 10, 2019
Valentina Salvatelli, Souvik Bose, Brad Neuberg, Luiz F. G. dos Santos, Mark Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

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* 5 pages, 6 figures, Accepted at the NeurIPS 2019 Workshop ML4PS

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A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission

Mar 11, 2019
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

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* Accepted to The Astrophysical Journal Supplement Series; 11 pages, 8 figures

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