106 citations · 229 across the 18 of their papers we have counts for
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math.OC2022★ 2 cited
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…
math.OC2022★ 1 cited
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…