Jan Kieseler
Principal Investigator/Professor
Karlsruher Institut für Technologie
Education
Latest
- On the Codesign of Scientific Experiments and Industrial Systems
- Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming
- Toward the end-to-end optimization of the SWGO array layout
- Hadron Identification Prospects with Granular Calorimeters
- End-to-End Detector Optimization with Diffusion models: A Case Study in Sampling Calorimeters
- End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters
- Hadron Identification Prospects with Granular Calorimeters
- Neuromorphic Readout for Hadron Calorimeters
- TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography
- Calorimetric Measurement of Multi-TeV Muons via Deep Regression
- Deep Regression of Muon Energy with a K-Nearest Neighbor Algorithm
- Optimising longitudinal and lateral calorimeter granularity for software compensation in hadronic showers using deep neural networks
- Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper
- Toward Machine Learning Optimization of Experimental Design
- Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph, and image data
- Muon Energy Measurement from Radiative Losses in a Calorimeter for a Collider Detector