Anomaly detection at the HL-LHC in learned latent spaces
s_scardapane · x · 2026-10-13
A new paper on anomaly detection at the HL-LHC: the authors learn a latent representation of Standard Model collision events, flag anomalies with an autoencoder, then use local explanation methods to interpret what makes anomalous events stand out — an unsupervised approach to new-physics searches.
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