568 citations · 2.2k across the 17 of their papers we have counts for
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hep-ph2021★ 8 cited
Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning
Daniel Alvestad, Nikolai Fomin, Jörn Kersten +2
We investigate enhancing the sensitivity of new physics searches at the LHC by machine learning in the case of background dominance and a high degree of overlap between the observa…
hep-ph2018★ 3 cited
Signal mixture estimation for degenerate heavy Higgses using a deep neural network
Anders Kvellestad, Steffen Maeland, Inga Strümke
If a new signal is established in future LHC data, a next question will be to determine the signal composition, in particular whether the signal is due to multiple near-degenerate…