260 citations · 2.1k across the 41 of their papers we have counts for
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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.HE2021★ 19 cited
Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
Felix Kahlhoefer, Michael Korsmeier, Michael Krämer +2
The interpretation of data from indirect detection experiments searching for dark matter annihilations requires computationally expensive simulations of cosmic-ray propagation. In…