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We propose a new model independent technique for constructing background data templates for use in searches for new physics processes at the LHC.
“A robust anomaly finder based on autoencoders”, 2019
Tuhin. Roy and Aravind. Vijay · 1903
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Conor Durkan, Artur Bekasov, Iain Murray and George Papamakarios · 1906
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“Guided Image Generation with Conditional Invertible Neural Networks”, 2019
Lynton Ardizzone et al · 1907
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“The earth mover’s distance as a metric for image retrieval”
Yossi Rubner, Carlo Tomasi and Leonidas Guibas · 2000
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“The ATLAS Experiment at the CERN Large Hadron Collider”
ATLAS Collaboration · 2008
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“The CMS Experiment at the CERN LHC”
CMS Collaboration · 2008
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“The LHCb Detector at the LHC”
LHCb Collaboration · 2008
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“A Brief Introduction to PYTHIA 8.1”
Torbjorn Sjöstrand, Stephen Mrenna and Peter. Skands · 2008
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“The anti- k t k_{t} jet clustering algorithm”
Matteo Cacciari, Gavin. Salam and Gregory Soyez · 2008
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“Optimal transport: old and new”
Cédric Villani · 2009
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“Identifying boosted objects with N-subjettiness”
Jesse Thaler and Ken Van · 2011
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“Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC”
ATLAS Collaboration · 2012
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“Observation of a New Boson at a Mass of 125 GeV with the CMS Experiment at the LHC”
CMS Collaboration · 2012
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“FastJet User Manual”
Matteo Cacciari, Gavin. Salam and Gregory Soyez · 2012
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“Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances”, 2013
Marco Cuturi · 2013
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“DELPHES 3, A modular framework for fast simulation of a generic collider experiment”
J. de Favereau et al · 2014
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“Variational Inference with Normalizing Flows”, 2016
Danilo Rezende and Shakir Mohamed · 2016
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“Search for new phenomena in dijet mass and angular distributions from p p pp collisions at s = \sqrt{s}= 13 TeV with the ATLAS detector”
ATLAS Collaboration · 2016
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“Classification without labels: Learning from mixed samples in high energy physics”
Eric. Metodiev, Benjamin Nachman and Jesse Thaler · 2017
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“Adam: A Method for Stochastic Optimization”, 2017
Diederik. Kingma and Jimmy Ba · 2017
Cited alongside, same era.
“A generic anti-QCD jet tagger”
J.. Aguilar-Saavedra, Jack. Collins and Rashmish. Mishra · 2017
Cited alongside, same era.
“Search for narrow and broad dijet resonances in proton-proton collisions at s = 13 \sqrt{s}=13 TeV and constraints on dark matter mediators and other new particles”
CMS Collaboration · 2018
Cited alongside, same era.
“Extending the search for new resonances with machine learning”
Jack. Collins, Kiel Howe and Benjamin Nachman · 2019
Cited alongside, same era.
“R&D Dataset for LHC Olympics 2020 Anomaly Detection Challenge”
Gregor Kasieczka, Ben Nachman and David Shih · 2019
Cited alongside, same era.
“Anomaly Detection with Density Estimation”
Benjamin Nachman and David Shih · 2020
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“Simulation Assisted Likelihood-free Anomaly Detection”
Anders Andreassen, Benjamin Nachman and David Shih · 2020
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“Novelty Detection Meets Collider Physics”
Jan Hajer, Ying-Ying Li, Tao Liu and He Wang · 2020
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“Searching for New Physics with Deep Autoencoders”
Marco Farina, Yuichiro Nakai and David Shih · 2020
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“Observation of an exotic narrow doubly charmed tetraquark”, 2021
LHCb Collaboration · 2021
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“SUSY Summary Plots June 2021”, 2021
ATLAS Collaboration · 2021
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Lynton Ardizzone et al · 2019
Cited alongside, same era.
“PyTorch: An Imperative Style, High-Performance Deep Learning Library”
Adam Paszke et al · 2019
Cited alongside, same era.
“QCD or What?”
Theo Heimel, Gregor Kasieczka, Tilman Plehn and Jennifer. Thompson · 2019
Cited alongside, same era.
“Variational autoencoders for new physics mining at the Large Hadron Collider”
Olmo Cerri et al · 2019
Cited alongside, same era.
“Adversarially-trained autoencoders for robust unsupervised new physics searches”
Andrew Blance, Michael Spannowsky and Philip Waite · 2019
Cited alongside, same era.
“Learning new physics from a machine”
Raffaele D’Agnolo and Andrea Wulzer · 2019
Cited alongside, same era.
“Guiding new physics searches with unsupervised learning”
Andrea Simone and Thomas Jacques · 2019
Cited alongside, same era.
“Summary Plots from ATLAS Searches for Pair-Produced Leptoquarks”, 2021
ATLAS Collaboration · 2021
Later among the works it cites.
“Summary Plots for Heavy Particle Searches and Long-lived Particle Searches - July 2021”, 2021
ATLAS Collaboration · 2021
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“The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics”
Gregor Kasieczka · 2021
Later among the works it cites.
“Classifying Anomalies THrough Outer Density Estimation (CATHODE)”, 2021
Anna Hallin et al · 2021
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“Simulation-assisted decorrelation for resonant anomaly detection”
Kees Benkendorfer, Luc Pottier and Benjamin Nachman · 2021
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“Learning multivariate new physics”
Raffaele D’Agnolo et al · 2021
Later among the works it cites.
LHCb Collaboration · 2022
Closest in time.
URL: https://twiki.cern.ch/twiki/bin/view/CMSPublic/SummaryPlotsEXO13TeV
CMS Collaboration Accessed 14th September 2022, 2022 · 2022
Closest in time.
URL: https://twiki.cern.ch/twiki/bin/view/CMSPublic/PhysicsResultsB2G
CMS Collaboration Accessed 14th September 2022, 2022 · 2022
Closest in time.
URL: https://twiki.cern.ch/twiki/bin/view/CMSPublic/PhysicsResultsSUS
CMS Collaboration Accessed 14th September 2022, 2022 · 2022
Closest in time.
“Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows”
Pratik Jawahar et al · 2022
Closest in time.
“Learning new physics efficiently with nonparametric methods”, 2022
Marco Letizia et al · 2022
Closest in time.