Jan Kieseler

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Constrained Optimization of Charged Particle Tracking with Multi-Agent Reinforcement Learning.
CoRR
Tobias Kortus, Ralf Keidel, Nicolas R. Gauger, Jan Kieseler
2025 J jnl
End-to-End Optimal Detector Design with Mutual Information Surrogates.
CoRR
Kinga Anna Wozniak, Stephen Mulligan, Jan Kieseler, Markus Klute, François Fleuret, Tobias Golling
2025 J jnl
End-to-end optimal detector design with mutual information surrogates.
Mach. Learn. Sci. Technol.
Kinga Anna Wozniak, Stephen Mulligan, Jan Kieseler, Markus Klute, François Fleuret, Tobias Golling
2025 J jnl
FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing.
CoRR
Aarush Agarwal, Raymond He, Jan Kieseler, Matteo Cremonesi, Shah Rukh Qasim
2025 J jnl
Neuromorphic Readout for Hadron Calorimeters.
CoRR
Enrico Lupi, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Abhijit Das, Andrea De Vita, Tommaso Dorigo, Nicolas R. Gauger, Ralf Keidel, Jan Kieseler, Anders Mikkelsen, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Kylian Schmidt, Pietro Vischia, Joseph Willmore
2024 J jnl
TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography.
Mach. Learn. Sci. Technol.
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
2023 J jnl
Top Quarks from Tevatron to the LHC.
Symmetry
Andreas Jung, Jan Kieseler
2022 J jnl
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks.
CoRR
Shah Rukh Qasim, Nadezda Chernyavskaya, Jan Kieseler, Kenneth Long, Oleksandr Viazlo, Maurizio Pierini, Raheel Nawaz
2020 J jnl
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.
CoRR
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
2020 J jnl
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.
Frontiers Big Data
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
2020 J jnl
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data.
CoRR
Jan Kieseler
2019 J jnl
Learning representations of irregular particle-detector geometry with distance-weighted graph networks.
CoRR
Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama, Maurizio Pierini