Kylian Schmidt

Contact Information

Institute: ETP / IAP
Building: CS 30.32
Room: 8.16
Email: kylian.schmidt[at]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: Dr. 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
• Muon Scale Factor Estimation with Normalizing Flows
  Experimental Physics Responsibilities for the CMS Collaboration

Publications

[1]	Kylian Schmidt, Nikhil Kota, Jan Kieseler, Andrea De Vita, Markus Klute, and more. 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 - An End-to-end Detector Optimization Framework using Diffusion Models
  Poster at ACAT, 8 September 2025, Hamburg
  
• AIDO - A Generalized Detector Optimization Framework using Surrogate Models
  Talk at DPG Spring Meeting, 3 April 2025, Göttingen
  
• AIDO - A Software Package for the Optimization of Continuous and Discrete Detector Parameters using Surrogate Models
  Talk at the Glühwein Workshop, 16 December 2024, Karlsruhe
  
• Photon Reconstruction with Graph Neural Networks at Beamdump Experiments
  Talk at DPG Spring Meeting, 5 March 2024, Karlsruhe
  

Workshops and Schools

• TCSC Heterogeneous Computing
  05.10.2025 – 11.10.2025 Split
• FSP
  17.09.2025 – 19.09.2025 Hamburg
• ACAT
  08.09.2025 – 12.09.2025 Hamburg
• HAICON
  03.06.2025 – 05.06.2025 Karlsruhe
• KSETA Plenary Workshop
  10.03.2025 – 12.03.2025 Wildberg

Teaching

• Supervision
  
  • Bachelor Thesis: "Data-Driven Z-Boson-Background Estimation using Neural Simulation Based Inference with CMS OpenData" – T. Pourié (2025)
    
• Tutorials
  
  • Computer-Based Data Analysis (SS 2024)
    
  • Modern Theoretical Physics II, Quantum Mechanics II (WS 2022-2023)