Welcome to the homepage of

Tobias Alt

Research Assistant


Position:    Research Assistant
Phone: +49-681-302-57359
E-mail: alt -at- mia.uni-saarland.de
Address: Mathematical Image Analysis Group
Faculty of Mathematics and Computer Science, Campus E1.7
66123 Saarbrücken, Germany
Office: Room 4.04
Building E1.7, Saarbrücken Campus

see also Contact


  • Mathematical Foundations of Deep Learning
  • Learning-based Modelling
  • Connections between Partial Differential Equations and Convolutional Neural Networks
  • Inpainting-based Image Compression

Conference Papers

  1. S. Andris, J. Weickert, T. Alt, P. Peter:
    JPEG meets PDE-based image compression.
    Proc. 35th Picture Coding Symposium (PCS 2021, Bristol, UK, June 2021), IEEE Press, 2021.
    Also available as arXiv:2011.11289 [eess.IV], revised May 2021.
  2. 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, Vol. 12679, Springer, Cham, 294-306, 2021.
    Also available as arXiv:2103.15419 [math.NA], March 2021.
  3. T. Alt, J. Weickert:
    Learning integrodifferential models for image denoising.
    To appear in Proc. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021, Toronto, Canada, June 2021), 2021.
    Also available as arXiv:2010.10888 [eess.IV], October 2020.
  4. T. Alt, J. Weickert:
    Learning a generic adaptive wavelet shrinkage function for denoising.
    Proc. 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020, Barcelona, Spain, May 2020), 2018-2022, 2020.
    Also available as arXiv:1910.09234 [eess.IV], October 2019.
  5. Technical Reports

  6. T. Alt, P. Peter, J. Weickert:
    Learning Sparse Masks for Diffusion-based Image Inpainting.
    arXiv:2110.02636 [eess.IV], October 2021.
  7. T. Alt, K. Schrader, J. Weickert, P. Peter, M. Augustin:
    Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods.
    arXiv:2108.13993 [cs.LG], August 2021.
  8. T. Alt, K. Schrader, M. Augustin, P. Peter, J. Weickert:
    Connections between Numerical Algorithms for PDEs and Neural Networks.
    arXiv:2107.14742 [math.NA], July 2021.
  9. R. M. K. Mohideen, P. Peter, T. Alt, J. Weickert, A. Scheer:
    Compressing Colour Images with Joint Inpainting and Prediction.
    arXiv:2010.09866 [eess.IV], October 2020.
  10. T. Alt, J. Weickert, P. Peter:
    Translating Diffusion, Wavelets, and Regularisation into Residual Networks.
    arXiv:2002.02753 [cs.LG], February 2020.
  11. Theses

  12. T. Alt:
    Coupled Optical Flow.
    Bachelor's Thesis in Computer Science,
    Saarland University, Saarbrücken, Germany, August 2016.


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