Markus Grasmair

Removing Multiplicative Noise by Douglas-Rachford Splitting Methods

Inverse problems: A Bayesian perspective

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Greedy solution of ill-posed problems: error bounds and exact inversion

Regularization with non-convex separable constraints

Physics-informed machine learning

Hierarchical Singular Value Decomposition of Tensors

Well-posedness and convergence rates for sparse regularization with sublinear $l^q$ penalty term

Sparse regularization with l ^q penalty term

Variational Methods in Imaging