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20142026
most citedWhat Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

2.9k citations · 12k across the 144 of their papers we have counts for

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5 papers · 1 filter

astro-ph.SR2022★ 13 cited

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

Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose +6

The Solar Dynamics Observatory (SDO), a NASA multi-spectral decade-long mission that has been daily producing terabytes of observational data from the Sun, has been recently used a…

astro-ph.SR2021★ 17 cited

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

Luiz F. G. dos Santos, Souvik Bose, Valentina Salvatelli +7

Solar activity plays a quintessential role in influencing the interplanetary medium and space-weather around the Earth. Remote sensing instruments onboard heliophysics space missio…

astro-ph.SR2019★ 1 cited

Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning

Brad Neuberg, Souvik Bose, Valentina Salvatelli +6

As a part of NASA's Heliophysics System Observatory (HSO) fleet of satellites,the Solar Dynamics Observatory (SDO) has continuously monitored the Sun since2010. Ultraviolet (UV) an…

astro-ph.SR2019★ 7 cited

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

Valentina Salvatelli, Souvik Bose, Brad Neuberg +6

Understanding and monitoring the complex and dynamic processes of the Sun is important for a number of human activities on Earth and in space. For this reason, NASA's Solar Dynamic…

astro-ph.SR2019★ 2 cited

Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses

Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney +7

Breakthroughs in our understanding of physical phenomena have traditionally followed improvements in instrumentation. Studies of the magnetic field of the Sun, and its influence on…