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2020 – today
- 2024
[j3]Giles C. Strong
, Maxime Lagrange, Aitor Orio, Anna Bordignon, Florian Bury, Tommaso Dorigo, Andrea Giammanco, Mariam Heikal, Jan Kieseler, Max Lamparth, Pablo Martínez Ruíz del Árbol, Federico Nardi, Pietro Vischia, Haitham Zaraket:
TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography. Mach. Learn. Sci. Technol. 5(3): 35002 (2024)- 2023
- [j2]Andreas Jung, Jan Kieseler:
Top Quarks from Tevatron to the LHC. Symmetry 15(10): 1915 (2023) - 2022
- [i4]Shah Rukh Qasim, Nadezda Chernyavskaya, Jan Kieseler, Kenneth Long, Oleksandr Viazlo, Maurizio Pierini, Raheel Nawaz:
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks. CoRR abs/2204.01681 (2022) - 2020
- [j1]Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu:
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. Frontiers Big Data 3: 598927 (2020) - [i3]Jan Kieseler:
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data. CoRR abs/2002.03605 (2020) - [i2]Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu:
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. CoRR abs/2008.03601 (2020)
2010 – 2019
- 2019
- [i1]Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama, Maurizio Pierini:
Learning representations of irregular particle-detector geometry with distance-weighted graph networks. CoRR abs/1902.07987 (2019)
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