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Reliable data quality monitoring is a key asset in delivering collision data suitable for physics analysis in any modern large-scale High Energy Physics experiment.
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Conditional anomaly detection
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The cms experiment at the cern lhc
Serguei Chatrchyan et al · 2008
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Isolation forest
Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou · 2008
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Calibration of the cms drift tube chambers and measurement of the drift velocity with cosmic rays
CMS collaboration et al · 2010
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Cms data quality monitoring web service
L Tuura, G Eulisse, and A Meyer · 2010
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Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, and Pierre-Antoine Manzagol · 2010
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Asymptotic formulae for likelihood-based tests of new physics
Glen Cowan, Kyle Cranmer, Eilam Gross, and Ofer Vitells · 2011
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Contractive auto-encoders: Explicit invariance during feature extraction
Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, and Yoshua Bengio · 2011
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Observation of a new boson at a mass of 125 gev with the cms experiment at the lhc
Serguei Chatrchyan et al · 2012
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Isolation-based anomaly detection
Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou · 2012
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A survey on unsupervised outlier detection in high-dimensional numerical data
Arthur Zimek, Erich Schubert, and Hans-Peter Kriegel · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 TeV
Vardan Khachatryan et al · 2015
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The data quality monitoring challenge at cms: experience from first collisions and future plans
Federico De Guio · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Outlier analysis
Charu C Aggarwal · 2015
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Deep learning and the information bottleneck principle
Naftali Tishby and Noga Zaslavsky · 2015
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Keras, 2015
François Chollet et al · 2015
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Representation learning: A review and new perspectives
Yoshua Bengio, Aaron Courville, and Pascal Vincent · 2013
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Data classification: algorithms and applications
Charu C Aggarwal · 2014
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Stochastic backpropagation and approximate inference in deep generative models
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra · 2014
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What regularized auto-encoders learn from the data-generating distribution
Guillaume Alain and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data
Markus Goldstein and Seiichi Uchida · 2016
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al · 2016
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Towards automation of data quality system for cern cms experiment
Maxim Borisyak, Fedor Ratnikov, Denis Derkach, and Andrey Ustyuzhanin · 2017
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Opening the black box of deep neural networks via information
Ravid Shwartz-Ziv and Naftali Tishby · 2017
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Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at s = \sqrt{s}= 13 TeV
Albert M Sirunyan et al · 2018
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