Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01139 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/epjconf/202533701139 | |
| Published online | 07 October 2025 | |
- M. Feindt, F. Keller, M. Kreps, T. Kuhr, S. Neubauer, D. Zander, A. Zupanc, A Hierarchical NeuroBayes-based Algorithm for Full Reconstruction of B Mesons at B Factories, Nucl. Instrum. Meth. A 654, 432 (2011), 1102.3876. 10.1016/j.nima.2011.06.008 [Google Scholar]
- 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]
- J. Kahn, I. Tsaklidis, O. Taubert, L. Reuter, G. Dujany, T. Boeckh, A. Thaller, P. Goldenzweig, F. Bernlochner, A. Streit et al., Learning tree structures from leaves for particle decay reconstruction, Machine Learning: Science and Technology 3, 035012 (2022). 10.1088/2632-2153/ac8de0 [CrossRef] [Google Scholar]
- J. Kahn, O. Taubert, I. Tsaklidis, L. Reuter, G. Dujany, T. Boeckh, A. Thaller, P. Goldenzweig, F. Bernlochner, A. Streit et al., Lowest common ancestor generations (lcag) phasespace particle decay reconstruction dataset (2022), https://doi.org/10.5281/zenodo.6983258 [Google Scholar]
- A. Ermolov, L. Mirvakhabova, V. Khrulkov, N. Sebe, I. Oseledets, Hyperbolic Vision Transformers: Combining Improvements in Metric Learning, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 7409–7419 [Google Scholar]
- A. Bardes, J. Ponce, Y. LeCun, VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning, in International Conference on Learning Representations (2022), https://openreview.net/forum?id=xm6YD62D1Ub [Google Scholar]
- T. Kipf, E. Fetaya, K.C. Wang, M. Welling, R. Zemel, Neural relational inference for interacting systems, in International conference on machine learning (Pmlr, 2018), pp. 2688–2697 [Google Scholar]
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