Searching for new physics with deep autoencoders-Reference-Cited by-同舟云学术

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Searching for new physics with deep autoencoders

Published:2020-04-13 Issue:7 Volume:101 Page:
ISSN:2470-0010
Container-title:Physical Review D
language:en
Short-container-title:Phys. Rev. D

Author:

Farina Marco,Nakai Yuichiro,Shih David

Funder

Aspen Center for Physics

National Science Foundation

U.S. Department of Energy

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevD.101.075021/fulltext

Reference41 articles.

1. Jet-images: computer vision inspired techniques for jet tagging

2. Playing tag with ANN: boosted top identification with pattern recognition

3. Jet-images — deep learning edition

4. Jet substructure classification in high-energy physics with deep neural networks

5. Parton shower uncertainties in jet substructure analyses with deep neural networks

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