Kylian Schmidt

Information

Institute: ETP / IAP
Building: CN 401
Room: 418
Email: kylian.schmidt#kit.edu

PhD Thesis

Topic: Application of Simulation-Based Inference Methods on LHC Data
Advisor: Prof. Dr. Ulrich Husemann
Coadvisor: Prof. Dr. Jan Kieseler

Master's Thesis

Topic: Photon Reconstruction of Axion-Like Particles with Graph Neural Networks at Beamdump Experiments ( pdf)
Advisor: Prof. Dr. Markus Klute
Coadvisor: Prof. Dr. Torben Ferber
Supervisor: M. Sc. Alexander Heidelbach

Publications

[1]

Kylian Schmidt, Nikhil Kota, Jan Kieseler, Andrea De Vita, Markus Klute, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Joseph Willmore, and Pietro Vischia. End-to-end detector optimization with diffusion models: A case study in sampling calorimeters, 2025. [ bib | arXiv | http ]

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Conferences and Talks

• AIDO - A Generalized Detector Optimization Framework using Surrogate Models
  Talk at DPG Spring Meeting, April 3, 2025, Göttingen
  
• AIDO - A Software Package for the Optimization of Continuous and Discrete Detector Parameters using Surrogate Models
  Talk at the Glühwein Workshop, December 16, 2024, Karlsruhe
  
• Photon Reconstruction with Graph Neural Networks at Beamdump Experiments
  Talk at DPG Spring Meeting, March 5, 2024, Karlsruhe