Speaker
Jonathan Shlomi
(Weizmann Institute of Science (IL))
Description
Secondary vertex reconstruction is a key intermediate step in building powerful jet classifiers. We use a neural network to perform vertex finding inside jets in order to improve classification performance. This can be thought of as a supervised attention mechanism - directing the classifier towards the relevant information inside the jet. We show supervised attention outperforms an identical network with standard unsupervised attention.
https://arxiv.org/abs/2008.02831
| Affiliation | Weizmann Institute |
|---|---|
| Academic Rank | PhD student |
Primary authors
Eilam Gross
(Weizmann Institute of Science (IL))
Jonathan Shlomi
(Weizmann Institute of Science (IL))
Kyle Stuart Cranmer
(New York University (US))
Sanmay Ganguly
(Weizmann Institute of Science (IL))
