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20192025
most citedIdentifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis

2 citations · 2 across the 3 of their papers we have counts for

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math.NA2025

On MAP estimates and source conditions for drift identification in SDEs

Daniel Tenbrinck, Nikolas Uesseler, Philipp Wacker +1

We consider the inverse problem of identifying the drift in an SDE from observations of its solution at distinct time points. We derive a corresponding MAP estimate, we p…

math.NA2019

Variational Graph Methods for Efficient Point Cloud Sparsification

Daniel Tenbrinck, Fjedor Gaede, Martin Burger

In recent years new application areas have emerged in which one aims to capture the geometry of objects by means of three-dimensional point clouds. Often the obtained data consist…