106 citations · 229 across the 18 of their papers we have counts for
3 papers · 1 filter
Convergent Data-driven Regularizations for CT Reconstruction
Samira Kabri, Alexander Auras, Danilo Riccio +4
The reconstruction of images from their corresponding noisy Radon transform is a typical example of an ill-posed linear inverse problem as arising in the application of computerize…
Lifted Bregman Training of Neural Networks
Xiaoyu Wang, Martin Benning
We introduce a novel mathematical formulation for the training of feed-forward neural networks with (potentially non-smooth) proximal maps as activation functions. This formulation…
Regularization of Inverse Problems: Deep Equilibrium Models versus Bilevel Learning
Danilo Riccio, Matthias J. Ehrhardt, Martin Benning
Variational regularization methods are commonly used to approximate solutions of inverse problems. In recent years, model-based variational regularization methods have often been r…