Gandikota, Kanchana Vaishnavi
Preferred name
Gandikota, Kanchana Vaishnavi
ORCID
0000-0003-0292-7523
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Publication Access status: Metadata only , Robustness and exploration of variational and machine learning approaches to inverse problems: An overviewThis paper provides an overview of current approaches for solving inverse problems in imaging using variational methods and machine learning. A special focus lies on point estimators and their robustness against adversarial perturbations. In this context results of numerical experiments for a one‐dimensional toy problem are provided, showing the robustness of different approaches and empirically verifying theoretical guarantees. Another focus of this review is the exploration of the subspace of data‐consistent solutions through explicit guidance to satisfy specific semantic or textural properties.Source Type:Article1
