8.6k citations · 12.3k across the 42 of their papers we have counts for
43 papers
Detection of hot subdwarf binaries and sdB stars using machine learning methods and a large sample of Gaia XP spectra
M. Ambrosch, C. Viscasillas Vázquez, E. Solano +10
Hot subdwarfs (hot sds) are compact, evolved stars near the Extreme Horizontal Branch (EHB) and are key to understanding stellar evolution and the ultraviolet excess in galaxies. W…
WATSON-Net: Vetting, Validation, and Analysis of Transits from Space Observations with Neural Networks
M. Dévora-Pajares, F. J. Pozuelos, J. C. Suárez +2
Context. As the number of detected transiting exoplanet candidates continues to grow, the need for robust and scalable automated tools to prioritize or validate them has become inc…
Federated Anonymous Blocklisting across Service Providers and its Application to Group Messaging
David Soler, Carlos Dafonte, Manuel Fernández-Veiga +2
Instant messaging has become one of the most used methods of communication online, which has attracted significant attention to its underlying cryptographic protocols and security…
Analysis of Efficiency of the Messaging Layer Security protocol in Experimental Settings
David Soler, Carlos Dafonte, Manuel Fernández-Veiga +2
Messaging Layer Security (MLS) and its underlying Continuous Group Key Agreement (CGKA) protocol allows a group of users to share a cryptographic secret in a dynamic manner, such t…
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…
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…