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GyroNet: Well-calibrated Rotation-based Stellar Ages from a Machine Learning and Bayesian Framework with Gaia DR3 Features

  • Authors: Amit Dethe, Melinda Soares-Furtado

Amit Dethe and Melinda Soares-Furtado 2026 The Astrophysical Journal Supplement Series 286 .

  • Provider: AAS Journals

Caption: Figure 5.

Coverage calibration plots for the top five variants of each architecture. NSF variants (top) track the diagonal most closely. Diffusion variants (middle) are underconfident. MDN variants (bottom) are severely overconfident.

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