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Machine learning methods have a long history of applications in high energy physics (HEP).
1901
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PMLR, Long Beach, CA, USA, 2019
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Springer, Cham, Switzerland, 2019
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2003
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L. Gray, T. Klijnsma, and S. Ghosh, A dynamic reduction network for point clouds
2003
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C. Fabjan and F. Gianotti, Calorimetry for particle physics
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2004
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2004
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M. Zaheer, S. Kottur, S. Ravanbakhsh, B. Poczos, R. R. Salakhutdinov, and A. J. Smola, Deep sets · 2017
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2005
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MIT Press, 2006
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2006
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2006
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J. Shlomi, P. Battaglia, and J.-R. Vlimant, Graph neural networks in particle physics
2007
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2007
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W. Waltenberger, R. Frühwirth, and P. Vanlaer, Adaptive vertex fitting
2007
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2017
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ATLAS, S. Heer, The secondary vertex finding algorithm with the ATLAS detector
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PMLR, Stockholmsmässan, Stockholm Sweden, 2018
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PMLR, Stockholmsmässan, Stockholm Sweden, 2018
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2018
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2019
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P. T. Komiske, E. M. Metodiev, and J. Thaler, Energy flow networks: Deep sets for particle jets
2019
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2019
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ATLAS, Convolutional neural networks with event images for pileup mitigation with the ATLAS detector
2019
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2019
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B. Knyazev, G. W. Taylor, and M. Amer, Understanding attention and generalization in graph neural networks · 2019
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2019
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2020
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2020
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World Scientific, 2020
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2020
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