2023

• December 2023
  Knowledge Distillation Techniques for Machine Learning
  by Kenneth Erbs Borup
  Dissertation supervisors: Lars Nørvang Andersen (Dept. of Mathematics, AU, main-supervisor) and Henrik Karstoft (Dept. of Electrical and Computer Engineering, AU, co-supervisor)
• November 2023
  Jonas Møller Svendsen
  by Equivariant intersection theory on the curvilinear Hilbert scheme
  Dissertation supervisor: Gergely Bérczi
• October 2023
  Branching laws for tensor products of unitary irreducible representations of PGL(2,R)
  by Frederik Juul Bang-Jensen
  Dissertation supervisor: Jan Frahm
• October 2023
  Restricting representations of GL(3,R) to GL(2,R)
  by Jonathan Ditlevsen
  Dissertation supervisor: Jan Frahm
• September 2023
  Local Behavior and Graphical Models for Stochastic Processes
  by Jakob Dalsgaard Thøstesen
  Dissertation supervisor: Jevgenijs Ivanovs
• February 2023
  The Reach of Manifold Learning – Uniqueness Bounds for Latent Representations
  by Helene Hauschultz
  Dissertation supervisor: Andrew du Plessis