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hep-ph2024★ 2 cited
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example
Johannes Erdmann, Florian Mausolf, Jan Lukas Späh
Recently, Kolmogorov-Arnold Networks (KANs) have been proposed as an alternative to multilayer perceptrons, suggesting advantages in performance and interpretability. We study a ty…
hep-ph2024
One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch
Caio Cesar Daumann, Mauro Donega, Johannes Erdmann +3
Simulated events are key ingredients in almost all high-energy physics analyses. However, imperfections in the simulation can lead to sizeable differences between the observed data…