Karl Schrader
Position: Research Assistant
E-mail: schrader -at- mia.uni-saarland.de
(please replace anti-spam -at- by @)
Address: Mathematical Image Analysis Group
Faculty of Mathematics and Computer Science,
Saarland University
Campus E1.7
66041 Saarbrücken, Germany
Office: Room 4.04
Building E1.7, Saarbrücken Campus
see also Contact
Research Area


Journal Papers

  1. T. Alt, K. Schrader, M. Augustin, P. Peter, J. Weickert:
    Connections between Numerical Algorithms for PDEs and Neural Networks.
    Journal of Mathematical Imaging and Vision.
    Invited Paper.
    Also available as arXiv:2107.14742 [math.NA], revised March 2022.
  2. T. Alt, K. Schrader, J. Weickert, P. Peter, M. Augustin:
    Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods.
    Research in the Mathematical Sciences.
    Also available as arXiv:2108.13993 [cs.LG], revised March 2022.
  3. Conference Papers

  4. K. Schrader, T. Alt, J. Weickert, M. Ertel:
    CNN-based Euler’s Elastica Inpainting with Deep Energy and Deep Image Prior.
    In Proceedings of the 10th European Workshop on Visual Information Processing, Lisbon, 2022.
    Also available as arXiv:2207.07921 [cs.CV], July 2022.
  5. T. Alt, P. Peter, J. Weickert, K. Schrader:
    Translating numerical concepts for PDEs into neural architectures.
    In A. Elmoataz, J. Fadili, Y. Quéau, J. Rabin, L. Simon (Eds.): Scale Space and Variational Methods in Computer Vision. Lecture Notes in Computer Science, Springer, Cham, 2021.
    Also available as arXiv:2103.15419 [math.NA], March 2021.
  6. Theses

  7. K. Schrader:
    Translating Anisotropic Diffusion into Residual Networks.
    M.Sc. Thesis in Visual Computing,
    Saarland University, Saarbrücken, Germany, October 2020.

  8. Courses