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We investigate a new structure for machine learning classifiers applied to problems in high-energy physics by expanding the inputs to include not only measured features but also physics parameters.
Neural Networks and Cellular Automata in Experimental High-energy Physics
Bruce H. Denby · 1988
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Track Finding With Neural Networks
Carsten Peterson · 1989
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Finding Gluon Jets With a Neural Trigger
Leif Lonnblad, Carsten Peterson, and Thorsteinn Rognvaldsson · 1990
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Neural Networks for Triggering
Bruce H. Denby, M. Campbell, Franco Bedeschi, N. Chriss, C. Bowers, and F. Nesti · 1990
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Classification of the hadronic decays of the Z0 into b and c quark pairs using a neural network
P. Abreu et al · 1992
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JETNET 3.0: A Versatile artificial neural network package
Carsten Peterson, Thorsteinn Rognvaldsson, and Leif Lonnblad · 1994
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Application of artificial neural networks in particle physics
Hermann Kolanoski · 1995
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PYTHIA 6.4 Physics and Manual
Torbjorn Sjostrand, Stephen Mrenna, and Peter Z. Skands · 2006
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Theano: a CPU and GPU Math Expression Compiler
James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, and Yoshua Bengio · 2010
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MadGraph 5 : Going Beyond
Johan Alwall, Michel Herquet, Fabio Maltoni, Olivier Mattelaer, and Tim Stelzer · 2011
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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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Evidence for a particle produced in association with weak bosons and decaying to a bottom-antibottom quark pair in Higgs boson searches at the Tevatron
T. Aaltonen et al · 2012
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Combined results of searches for the standard model Higgs boson in p p pp collisions at s = 7 \sqrt{s}=7 TeV
Serguei Chatrchyan et al · 2012
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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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Searching for Exotic Particles in High-Energy Physics with Deep Learning
Pierre Baldi, Peter Sadowski, and Daniel Whiteson · 2014
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Search for W ′ → t b ¯ W^{\prime}\rightarrow t\bar{b} in the lepton plus jets final state in proton-proton collisions at a centre-of-mass energy of s \sqrt{s} = 8 TeV with the ATLAS detector
Georges Aad et al · 2015
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Approximating Likelihood Ratios with Calibrated Discriminative Classifiers
Kyle Cranmer · 2015
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Blocks and Fuel: Frameworks for deep learning
Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, and Yoshua Bengio · 2015
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Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra, Ian J. Goodfellow, Arnaud Bergeron, Nicolas Bouchard, and Yoshua Bengio · 2012
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A neural network clustering algorithm for the ATLAS silicon pixel detector
Georges Aad et al · 2014
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Search for a multi-Higgs-boson cascade in W + W − b b ¯ W^{+}W^{−}b\bar{b} events with the ATLAS detector in pp collisions at s = 8 \sqrt{s}=8 TeV
Georges Aad et al · 2014
Cited alongside, same era.
Search for Z Z ’ resonances decaying to t t ¯ t\bar{t} in dilepton+jets final states in p p pp collisions at s = 7 \sqrt{s}=7 TeV
Serguei Chatrchyan et al
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Enhanced Higgs Boson to τ + τ − \tau^{+}\tau^{-} Search with Deep Learning
Pierre Baldi, Peter Sadowski, and Daniel Whiteson · 2015
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UCI machine learning repository
Pierre Baldi, Kyle Cranmer, Taylor Faucett, Peter Sadowski, and Daniel Whiteson · 2015
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