Jan Kieseler

According to our database, Jan Kieseler authored at least 7 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Constrained Optimization of Charged Particle Tracking with Multi-Agent Reinforcement Learning.

Tobias Kortus, Ralf Keidel, Nicolas R. Gauger, Jan Kieseler

CoRR, January, 2025

2024

TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography.

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

Mach. Learn. Sci. Technol., 2024

2023

Top Quarks from Tevatron to the LHC.

Andreas Jung, Jan Kieseler

Symmetry, October, 2023

2022

End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks.

Shah Rukh Qasim, Nadezda Chernyavskaya, Jan Kieseler, Kenneth Long, Oleksandr Viazlo, Maurizio Pierini, Raheel Nawaz

CoRR, 2022

2020

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.

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

Frontiers Big Data, 2020

Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data.

Jan Kieseler

CoRR, 2020

2019

Learning representations of irregular particle-detector geometry with distance-weighted graph networks.

Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama, Maurizio Pierini

CoRR, 2019