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arXiv · 1906.11265

CapsNets Continuing the Convolutional Quest

Sascha Diefenbacher·Hermann Frost·Gregor Kasieczka·Tilman Plehn·Jennifer M. Thompson
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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.

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Sascha Diefenbacher, Hermann Frost, Gregor Kasieczka, Tilman Plehn, Jennifer M. Thompson. 2019-06-26. CapsNets Continuing the Convolutional Quest. https://doi.org/10.21468/scipostphys.8.2.023

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