20 citations · 38 across the 11 of their papers we have counts for
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hep-ph2024★ 8 cited
Accurate Surrogate Amplitudes with Calibrated Uncertainties
Henning Bahl, Nina Elmer, Luigi Favaro +3
Neural networks for LHC physics have to be accurate, reliable, and controlled. Using neural surrogates for the prediction of loop amplitudes as a use case, we first show how activa…
hep-ph2024★ 8 cited
Advancing Tools for Simulation-Based Inference
Henning Bahl, Victor Bresó, Giovanni De Crescenzo +1
We study the benefit of modern simulation-based inference to constrain particle interactions at the LHC. We explore ways to incorporate known physics structures into likelihood est…