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hep-ph2025★ 1 cited
Anomaly detection with spiking neural networks for LHC physics
Barry M. Dillon, Jim Harkin, Aqib Javed
Anomaly detection offers a promising strategy for discovering new physics at the Large Hadron Collider (LHC). This paper investigates AutoEncoders built using neuromorphic Spiking…
hep-ph2025
Theory-informed neural networks for particle physics
Barry M. Dillon, Michael Spannowsky
We present a theory-informed reinforcement-learning framework that recasts the combinatorial assignment of final-state particles in hadron collider events as a Markov decision proc…