231 citations · 944 across the 16 of their papers we have counts for
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astro-ph.SR2023★ 1 cited
Intercomparison of Brown Dwarf Model Grids and Atmospheric Retrieval Using Machine Learning
Anna Lueber, Daniel Kitzmann, Chloe E. Fisher +4
Understanding differences between sub-stellar spectral data and models has proven to be a major challenge, especially for self-consistent model grids that are necessary for a thoro…
astro-ph.SR2019★ 29 cited
Supervised Machine Learning for Intercomparison of Model Grids of Brown Dwarfs: Application to GJ 570D and the Epsilon Indi B Binary System
Maria Oreshenko, Daniel Kitzmann, Pablo Marquez-Neila +6
Self-consistent model grids of brown dwarfs involve complex physics and chemistry, and are often computed using proprietary computer codes, making it challenging to identify the re…