25 citations · 50 across the 4 of their papers we have counts for
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math.NA2018★ 25 cited
A data-driven iteratively regularized Landweber iteration
Andrea Aspri, Sebastian Banert, Ozan Öktem +1
We derive and analyse a new variant of the iteratively regularized Landweber iteration, for solving linear and nonlinear ill-posed inverse problems. The method takes into account t…
math.OC2018★ 21 cited
Data-driven nonsmooth optimization
Sebastian Banert, Axel Ringh, Jonas Adler +2
In this work, we consider methods for solving large-scale optimization problems with a possibly nonsmooth objective function. The key idea is to first specify a class of optimizati…