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  • Machine learning (ML)

Publications
  • Loop amplitudes from precision networks
    by Simon Badger, Anja Butter, Michel Luchmann, Sebastian Pitz, Tilman Plehn,
    SciPost Phys. Core 6, 034 (2023)
  • Machine learning and LHC event generation
    by Anja Butter, Tilman Plehn, Steffen Schumann, Simon Badger, Sascha Caron, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Stefano Forte, Sanmay Ganguly, Dorival Gonçalves, Eilam Gross, Theo Heimel, Gudrun Heinrich, Lukas Heinrich, Alexander Held, Stefan Höche, Jessica N. Howard, Philip Ilten, Joshua Isaacson, Timo Janßen, Stephen Jones, Marumi Kado, Michael Kagan, Gregor Kasieczka, Felix Kling, Sabine Kraml, Claudius Krause, Frank Krauss, Kevin Kröninger, Rahool Kumar Barman, Michel Luchmann, Vitaly Magerya, Daniel Maitre, Bogdan Malaescu, Fabio Maltoni, Till Martini, Olivier Mattelaer, Benjamin Nachman, Sebastian Pitz, Juan Rojo, Matthew Schwartz, David Shih, Frank Siegert, Roy Stegeman, Bob Stienen, Jesse Thaler, Rob Verheyen, Daniel Whiteson, Ramon Winterhalder, Jure Zupan,
    SciPost Phys. 14, 079 (2023)
  • Real-time discrimination of photon pairs using machine learning at the LHC
    by Sean Benson, Adrián Casais Vidal, Xabier Cid Vidal, Albert Puig Navarro,
    SciPost Phys. 7, 062 (2019)
  • Investigating ultrafast quantum magnetism with machine learning
    by Giammarco Fabiani, Johan H. Mentink,
    SciPost Phys. 7, 004 (2019)
  • Quark-gluon tagging: Machine learning vs detector
    by Gregor Kasieczka, Nicholas Kiefer, Tilman Plehn, Jennifer M. Thompson,
    SciPost Phys. 6, 069 (2019)
  • Deep-learned Top Tagging with a Lorentz Layer
    by Anja Butter, Gregor Kasieczka, Tilman Plehn, Michael Russell,
    SciPost Phys. 5, 028 (2018)
Submissions (unpublished only)
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