252 citations · 1.3k across the 16 of their papers we have counts for
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astro-ph.IM2025★ 4 cited
Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks
Minia Manteiga, Raúl Santoveña, Marco A. Álvarez +4
A method based on Generative Adversaria! Networks (GANs) is developed for disentangling the physical (effective temperature and gravity) and chemical (metallicity, overabundance of…
astro-ph.IM2024
A method based on Generative Adversarial Networks for disentangling physical and chemical properties of stars in astronomical spectra
Raúl Santoveña, Carlos Dafonte, Minia Manteiga
Data compression techniques focused on information preservation have become essential in the modern era of big data. In this work, an encoder-decoder architecture has been designed…