Konstantin Schürholt

Konstantin Schürholt

Machine Learning researcher investigating populations of Neural Networks, self-supervised and meta learning, sparsity and ML for science.

Student Supervision

Supervision, University of St. Gallen, Department of Computer Science, 2021

As part of my teaching, I regularly co-supervise bachelor, master and project theses on topics related to my research.

  • Alexander Lonkte and Kristofer Reynisson (Project Thesis), “Weight Representation Learning with Stable Diffusion”, 2022-2023.
  • Dominik Honegger (Master Thesis), “Neural Network Sparsification via Hyper-Representations.”, 2022.
  • Thomas Fey (Master Thesis), “Membership Inference Attacks on Machine Learning Models”, 2021-2022.
  • Diyar Taskiran (Bachelor Thesis), “Generating Diverse Neural Network Model Zoos”, 2021.
  • Pol Caselles Rico (Master Thesis), “Disentangling Neural Network Structure from the Weights Space”, 2020-2021.