Publications

Publications

This list is generated automatically from INSPIRE-HEP and updated whenever the site rebuilds. 29 records shown.

Full record & citation summary on INSPIRE →

• 2026
  The Monte Carlo Ecosystem in High-Energy Physics: A Primer

  van Beekveld, Melissa, Bothmann, Enrico, Buckley, Andy, Gütschow, Christian, Skands, Peter, Winterhalder, Ramon

  arXiv:2605.16036
• 2026
  Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation

  Haußmann, Manuel, Winterhalder, Ramon, Ubiali, Maria

  arXiv:2605.10378
• 2026
  MadNIS at NLO

  De Crescenzo, Giovanni, Villadamigo, Javier Mariño, Elmer, Nina, Heimel, Theo, Plehn, Tilman et al. (7 authors)

  arXiv:2603.22407 3 citations
• 2026
  MadSpace -- Event Generation for the Era of GPUs and ML

  Heimel, Theo, Mattelaer, Olivier, Winterhalder, Ramon

  arXiv:2602.06895 5 citations
• 2025
  Amplitude Surrogates for Multi-Jet Processes

  Beccatini, Luca, Maltoni, Fabio, Mattelaer, Olivier, Winterhalder, Ramon

  arXiv:2512.11036 9 citations
• 2025
  FASTColor -- Full-color Amplitude Surrogate Toolkit for QCD

  Villadamigo, Javier Mariño, Frederix, Rikkert, Plehn, Tilman, Vitos, Timea, Winterhalder, Ramon

  arXiv:2509.07068 11 citations
• 2025
  Amplitude Uncertainties Everywhere All at Once

  Bahl, Henning, Elmer, Nina, Plehn, Tilman, Winterhalder, Ramon

  SciPost Phys. 20 (2026) arXiv:2509.00155 DOI 14 citations
• 2025
  The Physics Behind ML-based Quark-Gluon Taggers

  Vent, Sophia, Winterhalder, Ramon, Plehn, Tilman

  SciPost Phys. 20 (2026) arXiv:2507.21214 DOI 10 citations
• 2025
  BitHEP — The limits of low-precision ML in HEP

  Krause, Claudius, Wang, Daohan, Winterhalder, Ramon

  SciPost Phys. 20 (2026) arXiv:2504.03387 DOI 8 citations
• 2024
  Accurate surrogate amplitudes with calibrated uncertainties

  Bahl, Henning, Elmer, Nina, Favaro, Luigi, Haussmann, Manuel, Plehn, Tilman, Winterhalder, Ramon

  SciPost Phys.Core 8 (2025) arXiv:2412.12069 DOI 27 citations
• 2024
  Differentiable MadNIS-Lite

  Heimel, Theo, Mattelaer, Olivier, Plehn, Tilman, Winterhalder, Ramon

  SciPost Phys. 18 (2025) arXiv:2408.01486 DOI 41 citations
• 2024
  Full and approximated NLO predictions for like-sign W-boson scattering at the LHC

  Dittmaier, Stefan, Schwan, Christopher, Winterhalder, Ramon

  PoS LL2024 (2024) arXiv:2405.18286 DOI
• 2023
  The MadNIS reloaded

  Heimel, Theo, Huetsch, Nathan, Maltoni, Fabio, Mattelaer, Olivier, Plehn, Tilman, Winterhalder, Ramon

  SciPost Phys. 17 (2024) arXiv:2311.01548 DOI 68 citations
• 2023
  Precision-machine learning for the matrix element method

  Heimel, Theo, Huetsch, Nathan, Winterhalder, Ramon, Plehn, Tilman, Butter, Anja

  SciPost Phys. 17 (2024) arXiv:2310.07752 DOI 49 citations
• 2023
  Like-sign W-boson scattering at the LHC — approximations and full next-to-leading-order predictions

  Dittmaier, Stefan, Maierhöfer, Philipp, Schwan, Christopher, Winterhalder, Ramon

  JHEP 11 (2023) arXiv:2308.16716 DOI 15 citations
• 2023
  Elsa: enhanced latent spaces for improved collider simulations

  Nachman, Benjamin, Winterhalder, Ramon

  Eur.Phys.J.C 83 (2023) arXiv:2305.07696 DOI 22 citations
• 2022
  MadNIS - Neural multi-channel importance sampling

  Heimel, Theo, Winterhalder, Ramon, Butter, Anja, Isaacson, Joshua, Krause, Claudius et al. (8 authors)

  SciPost Phys. 15 (2023) arXiv:2212.06172 DOI 87 citations
• 2022
  Modern Machine Learning for LHC Physicists

  Plehn, Tilman, Butter, Anja, Dillon, Barry, Heimel, Theo, Krause, Claudius, Winterhalder, Ramon

  arXiv:2211.01421 106 citations
• 2022
  Event generators for high-energy physics experiments

  Campbell, J.M., Diefenthaler, M., Hobbs, T.J., Höche, Stefan, Isaacson, Joshua et al. (212 authors)

  SciPost Phys. 16 (2024) arXiv:2203.11110 DOI 192 citations
• 2022
  Machine learning and LHC event generation

  Butter, Anja, Plehn, Tilman, Schumann, Steffen, Badger, Simon, Caron, Sascha et al. (51 authors)

  SciPost Phys. 14 (2023) arXiv:2203.07460 DOI 146 citations
• 2022
  Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows

  Butter, Anja, Diefenbacher, Sascha, Kasieczka, Gregor, Nachman, Benjamin, Plehn, Tilman et al. (7 authors)

  SciPost Phys. 13 (2022) arXiv:2202.09375 DOI 21 citations
• 2021
  Targeting multi-loop integrals with neural networks

  Winterhalder, Ramon, Magerya, Vitaly, Villa, Emilio, Jones, Stephen P., Kerner, Matthias et al. (8 authors)

  SciPost Phys. 12 (2022) arXiv:2112.09145 DOI 60 citations
• 2021
  Publishing unbinned differential cross section results

  Arratia, Miguel, Butter, Anja, Campanelli, Mario, Croft, Vincent, Gillberg, Dag et al. (13 authors)

  JINST 17 (2022) arXiv:2109.13243 DOI 61 citations
• 2021
  Latent Space Refinement for Deep Generative Models

  Winterhalder, Ramon, Bellagente, Marco, Nachman, Benjamin

  arXiv:2106.00792 33 citations
• 2020
  How to GAN Event Unweighting

  Backes, Mathias, Butter, Anja, Plehn, Tilman, Winterhalder, Ramon

  SciPost Phys. 10 (2021) arXiv:2012.07873 DOI 46 citations
• 2020
  Invertible Networks or Partons to Detector and Back Again

  Bellagente, Marco, Butter, Anja, Kasieczka, Gregor, Plehn, Tilman, Rousselot, Armand et al. (8 authors)

  SciPost Phys. 9 (2020) arXiv:2006.06685 DOI 138 citations
• 2019
  How to GAN Event Subtraction

  Butter, Anja, Plehn, Tilman, Winterhalder, Ramon

  SciPost Phys.Core 3 (2020) arXiv:1912.08824 DOI 59 citations
• 2019
  How to GAN away Detector Effects

  Bellagente, Marco, Butter, Anja, Kasieczka, Gregor, Plehn, Tilman, Winterhalder, Ramon

  SciPost Phys. 8 (2020) arXiv:1912.00477 DOI 136 citations
• 2019
  How to GAN LHC Events

  Butter, Anja, Plehn, Tilman, Winterhalder, Ramon

  SciPost Phys. 7 (2019) arXiv:1907.03764 DOI 179 citations