27 citations · 27 across the 1 of their papers we have counts for
2 papers
cs.LG2025
Learning Regularization Functionals for Inverse Problems: A Comparative Study
Johannes Hertrich, Hok Shing Wong, Alexander Denker +16
In recent years, a variety of learned regularization frameworks for solving inverse problems in imaging have emerged. These offer flexible modeling together with mathematical insig…
math.NA2008★ 27 cited
On regularization methods of EM-Kaczmarz type
Markus Haltmeier, Antonio Leitao, Elena Resmerita
We consider regularization methods of Kaczmarz type in connection with the expectation-maximization (EM) algorithm for solving ill-posed equations. For noisy data, our methods are…