Andreas Habring

Dipl.-Ing. Dr.rer.nat. BSc

I received my PhD in applied mathematics from the University of Graz with a promotio sub auspiciis in 2023. After a brief break from academia I (fortunately 😉 ) joined Thomas Pock’s Vision, Learning and Optimization group as a postdoc in December 2024. My research interests include (Bayesian) inverse problems, Markov chain Monte Carlo sampling, and stochastic differential equations.

Publications

Habring, A., Holler, M., Pock, T., Zach, M.
Machine Learning Solutions for Inverse Problems, Part A, 2025, 1-76, (Handbook of Numerical Analysis; Vol. 26)
2025 IEEE Statistical Signal Processing Workshop, SSP, 2025, 61-65, (IEEE Workshop on Statistical Signal Processing Proceedings)
Narnhofer, D., Habring, A., Holler, M., Pock, T.
SIAM Journal on Imaging Sciences, Vol. 17(1), 2024, 301-333