标题
(Machine) learning to do more with less
作者
关键词
Beyond Standard Model, Hadron-Hadron scattering (experiments), Particle correlations and fluctuations, Supersymmetry
出版物
JOURNAL OF HIGH ENERGY PHYSICS
Volume 2018, Issue 2, Pages -
出版商
Springer Nature
发表日期
2018-02-07
DOI
10.1007/jhep02(2018)034
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- SCYNet: testing supersymmetric models at the LHC with neural networks
- (2017) Philip Bechtle et al. EUROPEAN PHYSICAL JOURNAL C
- The BSM-AI project: SUSY-AI–generalizing LHC limits on supersymmetry with machine learning
- (2017) Sascha Caron et al. EUROPEAN PHYSICAL JOURNAL C
- Triggering soft bombs at the LHC
- (2017) Simon Knapen et al. JOURNAL OF HIGH ENERGY PHYSICS
- Deep learning in color: towards automated quark/gluon jet discrimination
- (2017) Patrick T. Komiske et al. JOURNAL OF HIGH ENERGY PHYSICS
- Tagging new physics with charm
- (2017) S. Iwamoto et al. JOURNAL OF HIGH ENERGY PHYSICS
- Deep-learning top taggers or the end of QCD?
- (2017) Gregor Kasieczka et al. JOURNAL OF HIGH ENERGY PHYSICS
- How much information is in a jet?
- (2017) Kaustuv Datta et al. JOURNAL OF HIGH ENERGY PHYSICS
- Weakly supervised classification in high energy physics
- (2017) Lucio Mwinmaarong Dery et al. JOURNAL OF HIGH ENERGY PHYSICS
- Classification without labels: learning from mixed samples in high energy physics
- (2017) Eric M. Metodiev et al. JOURNAL OF HIGH ENERGY PHYSICS
- Parameterized neural networks for high-energy physics
- (2016) Pierre Baldi et al. EUROPEAN PHYSICAL JOURNAL C
- Jet-images — deep learning edition
- (2016) Luke de Oliveira et al. JOURNAL OF HIGH ENERGY PHYSICS
- Dissecting jets and missing energy searches using n-body extended simplified models
- (2016) Timothy Cohen et al. JOURNAL OF HIGH ENERGY PHYSICS
- Jet-images: computer vision inspired techniques for jet tagging
- (2015) Josh Cogan et al. JOURNAL OF HIGH ENERGY PHYSICS
- Playing tag with ANN: boosted top identification with pattern recognition
- (2015) Leandro G. Almeida et al. JOURNAL OF HIGH ENERGY PHYSICS
- Searching for exotic particles in high-energy physics with deep learning
- (2014) P. Baldi et al. Nature Communications
- The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
- (2014) J. Alwall et al. JOURNAL OF HIGH ENERGY PHYSICS
- Multiple instance classification: Review, taxonomy and comparative study
- (2013) Jaume Amores ARTIFICIAL INTELLIGENCE
- Jets and Photons
- (2013) Stephen D. Ellis et al. PHYSICAL REVIEW LETTERS
- Fast supersymmetry phenomenology at the Large Hadron Collider using machine learning techniques
- (2012) A. Buckley et al. COMPUTER PHYSICS COMMUNICATIONS
- FastJet user manual
- (2012) Matteo Cacciari et al. EUROPEAN PHYSICAL JOURNAL C
- Ensemble-based classifiers
- (2009) Lior Rokach ARTIFICIAL INTELLIGENCE REVIEW
- Machine learning for event selection in high energy physics
- (2009) Shimon Whiteson et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Macroscopic strings and ``quirks'' at colliders
- (2009) Junhai Kang et al. JOURNAL OF HIGH ENERGY PHYSICS
- The anti-kt jet clustering algorithm
- (2008) Matteo Cacciari et al. JOURNAL OF HIGH ENERGY PHYSICS
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