350 citations · 4.5k across the 85 of their papers we have counts for
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astro-ph.IM2019★ 101 cited
Deblending and Classifying Astronomical Sources with Mask R-CNN Deep Learning
Colin J. Burke, Patrick D. Aleo, Yu-Ching Chen +4
We apply a new deep learning technique to detect, classify, and deblend sources in multi-band astronomical images. We train and evaluate the performance of an artificial neural net…
astro-ph.IM2019★ 11 cited
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
Gabrielle Allen, Igor Andreoni, Etienne Bachelet +45
This report provides an overview of recent work that harnesses the Big Data Revolution and Large Scale Computing to address grand computational challenges in Multi-Messenger Astrop…