39 citations · 159 across the 7 of their papers we have counts for
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astro-ph.GA2020★ 17 cited
A neural network-based methodology to select young stellar object candidates from IR surveys
David Cornu, Julien Montillaud
Observed Young Stellar Objects (YSOs) are used to study star formation and characterize star forming regions. For this purpose, YSO candidate catalogs are compiled from various sur…
astro-ph.GA2020
Modeling the 3D Milky Way using Machine Learning with Gaia and infrared surveys
David Cornu
The observation of our home galaxy, the Milky Way (MW), is made difficult by our internal viewpoint. The Gaia survey that contains around 1.6 billion star distances is the new flag…