Kylian Schmidt

Information

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

PhD Thesis

Application of Simulation-Based Inference Methods on LHC Data
Advisor: Prof. Dr. Ulrich Husemann
Coadvisor: Prof. Dr. Jan Kieseler
Date: December 2024 - currently

Master's Thesis

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
Date: March 2023 - March 2024

Bachelor's Thesis

Spin-Boson Model as Semi-Infinite Chain: Characterization with Orthogonal Polynomials
Advisor: Prof. Dr. Frank Wilhelm-Mauch (Saarland University)
Date: May 2021 - September 2021

Other Topics

• Detector Optimization with Diffusion-based Surrogate Models ( GitHub )
  Supervisor: Prof. Dr. Jan Kieseler
  Date: June 2024 - Jan 2025

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
  

Workshops and Schools

• HAICON 25
  03-06.2025 - 05.06.2025 Karlsruhe
• 12th KSETA Plenary Workshop
  10.03.2025 - 12.03.2025 Wildberg