paper

CapsNets Continuing the Convolutional Quest

arXiv:1906.11265 · doi:10.21468/SciPostPhys.8.2.023

Abstract

Capsule networks are ideal tools to combine event-level and subjet information at the LHC. After benchmarking our capsule network against standard convolutional networks, we show how multi-class capsules extract a resonance decaying to top quarks from both, QCD di-jet and the top continuum backgrounds. We then show how its results can be easily interpreted. Finally, we use associated top-Higgs production to demonstrate that capsule networks can work on overlaying images to go beyond calorimeter information.

arXiv commentMinor changes to text

References in corpus (56)

Cited by in corpus (16)