Jan Kieseler

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Object Reconstruction

Pairwise Similarities

Top Venues

Mach. Learn. Sci. Technol.

Frontiers Big Data

Publications

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) (2024)
Andreas Jung, Jan Kieseler
Top Quarks from Tevatron to the LHC. Symmetry 15 (10) (2023)
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 (2022)
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 (2020)
Jan Kieseler
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data. CoRR (2020)
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 (2020)
Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama, Maurizio Pierini
Learning representations of irregular particle-detector geometry with distance-weighted graph networks. CoRR (2019)