Publications

Tilman Plehn, Anja Butter, Barry Dillon, Theo Heimel, Claudius Krause, Ramon Winterhalder (2022). Modern Machine Learning for LHC Physicists.
Cite arXiv
Ramon Winterhalder, Vitaly Magerya, Emilio Villa, Stephen P. Jones, Matthias Kerner, Anja Butter, Gudrun Heinrich, Tilman Plehn (2022). Targeting multi-loop integrals with neural networks. SciPost Phys..
Cite DOI arXiv
Miguel Arratia, Others (2022). Publishing unbinned differential cross section results. JINST.
Cite DOI arXiv
Anja Butter, Sascha Diefenbacher, Gregor Kasieczka, Benjamin Nachman, Tilman Plehn, David Shih, Ramon Winterhalder (2022). Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows. SciPost Phys..
Cite DOI arXiv
Ramon Winterhalder, Marco Bellagente, Benjamin Nachman (2021). Latent Space Refinement for Deep Generative Models.
Cite arXiv
Mathias Backes, Anja Butter, Tilman Plehn, Ramon Winterhalder (2021). How to GAN Event Unweighting. SciPost Phys..
Cite DOI arXiv
Marco Bellagente, Anja Butter, Gregor Kasieczka, Tilman Plehn, Armand Rousselot, Ramon Winterhalder, Lynton Ardizzone, Ullrich Köthe (2020). Invertible Networks or Partons to Detector and Back Again. SciPost Phys..
Cite DOI arXiv
Anja Butter, Tilman Plehn, Ramon Winterhalder (2020). How to GAN Event Subtraction. SciPost Phys. Core.
Cite DOI arXiv
Marco Bellagente, Anja Butter, Gregor Kasieczka, Tilman Plehn, Ramon Winterhalder (2020). How to GAN away Detector Effects. SciPost Phys..
Cite DOI arXiv
Ramon Peter Winterhalder (2020). How to GAN : Novel simulation methods for the LHC.
Cite DOI