28 citations · 57 across the 13 of their papers we have counts for
3 papers · 1 filter
DeepRed: an architecture for redshift estimation
Alessandro Meroni, Nicolò Oreste Pinciroli Vago, Piero Fraternali
Estimating redshift is a central task in astrophysics, but its measurement is costly and time-consuming. In addition, current image-based methods are often validated on homogeneous…
Extracting latent representations from X-ray spectra. Classification, regression, and accretion signatures of Chandra sources
Nicolò Oreste Pinciroli Vago, Juan Rafael Martínez-Galarza, Roberta Amato
Spectral signatures are crucial in the era of large X-ray surveys. Automatic machine learning methods have proven useful in this respect, but so far they have not been applied to l…
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data
Nicolò Oreste Pinciroli Vago, Piero Fraternali
Gravitational lensing is the relativistic effect generated by massive bodies, which bend the space-time surrounding them. It is a deeply investigated topic in astrophysics and allo…