| How to GAN LHC events A Butter, T Plehn, R Winterhalder SciPost Physics 7 (6), 075, 2019 | 144 | 2019 |
| How to GAN away detector effects M Bellagente, A Butter, G Kasieczka, T Plehn, R Winterhalder SciPost Physics 8 (4), 070, 2020 | 102 | 2020 |
| Invertible networks or partons to detector and back again M Bellagente, A Butter, G Kasieczka, T Plehn, A Rousselot, ... SciPost Physics 9 (5), 074, 2020 | 100 | 2020 |
| Event generators for high-energy physics experiments JM Campbell, M Diefenthaler, TJ Hobbs, S Höche, J Isaacson, F Kling, ... arXiv preprint arXiv:2203.11110, 2022 | 90 | 2022 |
| Machine learning and LHC event generation A Butter, T Plehn, S Schumann, S Badger, S Caron, K Cranmer, ... SciPost physics 14 (4), 079, 2023 | 63 | 2023 |
| How to GAN event subtraction A Butter, T Plehn, R Winterhalder SciPost Physics Core 3 (2), 009, 2020 | 46* | 2020 |
| How to GAN event unweighting M Backes, A Butter, T Plehn, R Winterhalder SciPost Physics 10 (4), 089, 2021 | 37 | 2021 |
| Targeting multi-loop integrals with neural networks R Winterhalder, V Magerya, E Villa, S Jones, M Kerner, A Butter, ... SciPost Physics 12 (4), 129, 2022 | 30 | 2022 |
| Latent space refinement for deep generative models R Winterhalder, M Bellagente, B Nachman arXiv preprint arXiv:2106.00792, 2021 | 25* | 2021 |
| Publishing unbinned differential cross section results M Arratia, A Butter, M Campanelli, V Croft, D Gillberg, A Ghosh, ... Journal of Instrumentation 17 (01), P01024, 2022 | 23 | 2022 |
| MadNIS-Neural multi-channel importance sampling T Heimel, R Winterhalder, A Butter, J Isaacson, C Krause, F Maltoni, ... SciPost Physics 15 (4), 141, 2023 | 19 | 2023 |
| Ephemeral learning-Augmenting triggers with online-trained normalizing flows A Butter, S Diefenbacher, G Kasieczka, B Nachman, T Plehn, D Shih, ... SciPost Physics 13 (4), 087, 2022 | 14 | 2022 |
| The MadNIS Reloaded T Heimel, N Huetsch, F Maltoni, O Mattelaer, T Plehn, R Winterhalder arXiv preprint arXiv:2311.01548, 2023 | 12* | 2023 |
| Precision-Machine Learning for the Matrix Element Method T Heimel, N Huetsch, R Winterhalder, T Plehn, A Butter arXiv preprint arXiv:2310.07752, 2023 | 10 | 2023 |
| Elsa: enhanced latent spaces for improved collider simulations B Nachman, R Winterhalder The European Physical Journal C 83 (9), 1-16, 2023 | 10 | 2023 |
| Like-sign W-boson scattering at the LHC—approximations and full next-to-leading-order predictions S Dittmaier, P Maierhöfer, C Schwan, R Winterhalder Journal of High Energy Physics 2023 (11), 1-58, 2023 | 4 | 2023 |
| How to GAN: Novel simulation methods for the LHC RP Winterhalder | 1 | 2020 |
| Full and approximated NLO predictions for like-sign W-boson scattering at the LHC S Dittmaier, C Schwan, R Winterhalder arXiv preprint arXiv:2405.18286, 2024 | | 2024 |
