| Jet Diffusion versus JetGPT--Modern Networks for the LHC A Butter, N Huetsch, SP Schweitzer, T Plehn, P Sorrenson, J Spinner arXiv preprint arXiv:2305.10475, 2023 | 35 | 2023 |
| The madnis reloaded T Heimel, N Huetsch, F Maltoni, O Mattelaer, T Plehn, R Winterhalder SciPost Physics 17 (1), 023, 2024 | 20 | 2024 |
| Precision-machine learning for the matrix element method T Heimel, N Huetsch, R Winterhalder, T Plehn, A Butter SciPost Physics 17 (5), 129, 2024 | 19 | 2024 |
| GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation A Bailoni, C Pape, N Hütsch, S Wolf, T Beier, A Kreshuk, FA Hamprecht Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 16 | 2022 |
| The Landscape of Unfolding with Machine Learning N Huetsch, JM Villadamigo, A Shmakov, S Diefenbacher, V Mikuni, ... arXiv preprint arXiv:2404.18807, 2024 | 11 | 2024 |
| Jet Diffusion versus JetGPT–Modern Networks for the LHC (2023) A Butter, N Huetsch, SP Schweitzer, T Plehn, P Sorrenson, J Spinner arXiv preprint arXiv:2305.10475, 0 | 8 | |
| Jet diffusion versus JetGPT–Modern networks for the LHC,(arXiv preprint) doi: 10.48550 A Butter, N Huetsch, SP Schweitzer, T Plehn, P Sorrenson, J Spinner arXiv preprint arXiv.2305.10475, 0 | 6 | |
| The MadNIS Reloaded (2023) T Heimel, N Huetsch, F Maltoni, O Mattelaer, T Plehn, R Winterhalder arXiv preprint arXiv:2311.01548, 0 | 6 | |
| Precision-Machine Learning for the Matrix Element Method (2023) T Heimel, N Huetsch, R Winterhalder, T Plehn, A Butter arXiv preprint arXiv:2310.07752, 0 | 5 | |
| Generative Unfolding with Distribution Mapping A Butter, S Diefenbacher, N Huetsch, V Mikuni, B Nachman, ... arXiv preprint arXiv:2411.02495, 2024 | 1 | 2024 |
