20 citations · 38 across the 11 of their papers we have counts for
4 papers · 1 filter
Forecasting Generative Amplification
Henning Bahl, Sascha Diefenbacher, Nina Elmer +2
Generative networks are perfect tools to enhance the speed and precision of LHC simulations. Especially when generating events beyond the size of the training dataset, it is import…
Amplitude Uncertainties Everywhere All at Once
Henning Bahl, Nina Elmer, Tilman Plehn +1
Ultra-fast, precise, and controlled amplitude surrogates are essential for future LHC event generation. First, we investigate the noise reduction and biases of network ensembles an…
-Analyses with Symbolic Regression
Henning Bahl, Elina Fuchs, Marco Menen +1
Searching for violation in Higgs interactions at the LHC is as challenging as it is important. Although modern machine learning outperforms traditional methods, its…
ECFA Higgs, electroweak, and top Factory Study
H. Abidi, J. A. Aguilar-Saavedra, S. Airen +373
The ECFA Higgs, electroweak, and top Factory Study ran between 2021 and 2025 as a broad effort across the experimental and theoretical particle physics communities, bringing togeth…