Deep Learning with Periodic Features and Applications in Particle Physics

DOI10.1007/978-981-15-1960-4_10zbMath1445.62320OpenAlexW2997897705MaRDI QIDQ3305496

Steffen Mæland, Inga Strümke

Publication date: 7 August 2020

Published in: Communications in Computer and Information Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-15-1960-4_10

zbMATH Keywords

autoencoderloss functionregressionmachine learningparticle physics

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Applications of statistics to physics (62P35) Neural nets and related approaches to inference from stochastic processes (62M45)

Uses Software

• PYTHIA8
• TensorFlow
• Keras
• Adam
• GitHub

Cites Work

• An introduction to PYTHIA 8.2
• Auto-association by multilayer perceptrons and singular value decomposition

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