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hep-ph2025
Self-Supervised Learning Strategies for Jet Physics
Patrick Rieck, Kyle Cranmer, Etienne Dreyer +5
We extend the re-simulation-based self-supervised learning approach to learning representations of hadronic jets in colliders by exploiting the Markov property of the standard simu…
hep-ph2021★ 16 cited
Back to the Formula -- LHC Edition
Anja Butter, Tilman Plehn, Nathalie Soybelman +1
While neural networks offer an attractive way to numerically encode functions, actual formulas remain the language of theoretical particle physics. We show how symbolic regression…