99 citations · 256 across the 9 of their papers we have counts for
Showing astro-ph.HEShow all
2 papers · 1 filter
astro-ph.HE2021
Classification of Fermi-LAT blazars with Bayesian neural networks
Anja Butter, Thorben Finke, Felicitas Keil +2
The use of Bayesian neural networks is a novel approach for the classification of gamma-ray sources. We focus on the classification of Fermi-LAT blazar candidates, which can be div…
astro-ph.HE2020★ 22 cited
Classification of Fermi-LAT sources with deep learning using energy and time spectra
Thorben Finke, Michael Krämer, Silvia Manconi
Despite the growing number of gamma-ray sources detected by Fermi-LAT, about one third of the sources in each survey remains of uncertain type. We present a new deep neural network…