165 citations · 610 across the 22 of their papers we have counts for
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astro-ph.GA2022★ 54 cited
Chasing the impact of the Gaia-Sausage-Enceladus merger on the formation of the Milky Way thick disc
Ioana Ciucă, Daisuke Kawata, Yuan-Sen Ting +8
We employ our Bayesian Machine Learning framework BINGO (Bayesian INference for Galactic archaeOlogy) to obtain high-quality stellar age estimates for 68,360 red giant and red clum…
astro-ph.SR2022★ 4 cited
Unsupervised Learning for Stellar Spectra with Deep Normalizing Flows
Ioana Ciuca, Yuan-Sen Ting
Stellar spectra encode detailed information about the stars. However, most machine learning approaches in stellar spectroscopy focus on supervised learning. We introduce Mendis, an…