Search Results for author: Marcel Rieger

Found 3 papers, 1 papers with code

Data Science and Machine Learning in Education

no code implementations19 Jul 2022 Gabriele Benelli, Thomas Y. Chen, Javier Duarte, Matthew Feickert, Matthew Graham, Lindsey Gray, Dan Hackett, Phil Harris, Shih-Chieh Hsu, Gregor Kasieczka, Elham E. Khoda, Matthias Komm, Mia Liu, Mark S. Neubauer, Scarlet Norberg, Alexx Perloff, Marcel Rieger, Claire Savard, Kazuhiro Terao, Savannah Thais, Avik Roy, Jean-Roch Vlimant, Grigorios Chachamis

The growing role of data science (DS) and machine learning (ML) in high-energy physics (HEP) is well established and pertinent given the complex detectors, large data, sets and sophisticated analyses at the heart of HEP research.

BIG-bench Machine Learning

Lorentz Boost Networks: Autonomous Physics-Inspired Feature Engineering

1 code implementation23 Dec 2018 Martin Erdmann, Erik Geiser, Yannik Rath, Marcel Rieger

The LBN also enables the formation of further composite particles, which are then transformed into said rest frames by Lorentz transformation.

High Energy Physics - Experiment High Energy Physics - Phenomenology

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