Open Access
Issue
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
Article Number 01142
Number of page(s) 8
DOI https://doi.org/10.1051/epjconf/202533701142
Published online 07 October 2025
  1. J.M.S. Kahn, Ph.D. thesis, Ludwig-Maximilians-Universität München (2019), http://nbn-resolving.de/urn:nbn:de:bvb:19-240131 [Google Scholar]
  2. T. Keck et al., The Full Event Interpretation: An Exclusive Tagging Algorithm for the Belle II Experiment, Comput. Softw. Big Sci. 3, 6 (2019), 1807.08680. 10.1007/s41781-019-0021-8 [Google Scholar]
  3. B. Yu, Master’s thesis, Ludwig-Maximilians-Universität München (2021), https://docs.belle2.org/pub_data/documents/4001 [Google Scholar]
  4. B. Yu, N. Hartmann, L. Schinnerl, T. Kuhr, Improved selective background Monte Carlo simulation at Belle II with graph attention networks and weighted events, in 21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: AI meets Reality (2023), 2307.06434 [Google Scholar]
  5. L. Benato et al., Shared Data and Algorithms for Deep Learning in Fundamental Physics, Comput. Softw. Big Sci. 6, 9 (2022), 2107.00656. 10.1007/s41781-022-00082-6 [Google Scholar]
  6. A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A.N. Gomez, L. Kaiser, I. Polosukhin, Attention is all you need (2023), 1706.03762, https://arxiv.org/abs/1706.03762 [Google Scholar]
  7. H. Qu, C. Li, S. Qian, Particle Transformer for Jet Tagging, in Proceedings of the 39th International Conference on Machine Learning, edited by K. Chaudhuri, S. Jegelka, L. Song, C. Szepesvari, G. Niu, S. Sabato (PMLR, 2022), Vol. 162 of Proceedings of Machine Learning Research, pp. 18281–18292, https://proceedings.mlr.press/v162/qu22b.html [Google Scholar]
  8. D. Pollmann (2024), unpublished bachelor thesis, Ludwig-Maximilians-Universität München [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.