19 citations · 28 across the 6 of their papers we have counts for
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astro-ph.GA2026★ 1 cited
Stellar age determination using deep neural networks: Isochrone ages for 1.3 million stars, based on BaSTI, MIST, PARSEC, Dartmouth and SYCLIST evolutionary grids
T. Boin, L. Casamiquela, M. Haywood +4
We aim to develop a model-driven deep learning approach to age determination, by training neural networks on stellar evolutionary grids. Contrary to the usual data-driven deep lear…
astro-ph.GA2024★ 6 cited
New stellar age estimates using SPInS based on Gaia DR3 photometry and LAMOST DR8 abundances
L. Casamiquela, D. R. Reese, Y. Lebreton +8
Reliable stellar age estimates are fundamental for testing several problems in modern astrophysics, in particular since they set the time scales of Galactic dynamical and chemical…