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20212026
most citedPixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation

8 citations · 11 across the 12 of their papers we have counts for

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math.AP2026

Regularity of Solutions to Beckmann's Parametric Optimal Transport

Hanno Gottschalk, Tobias J. Riedlinger

Beckmann's problem in optimal transport minimizes the total squared flux in a continuous transport problem from a source to a target distribution. In this article, the regularity t…

cs.LG2026

Probabilistic Label Spreading: Efficient and Consistent Estimation of Soft Labels with Epistemic Uncertainty on Graphs

Jonathan Klees, Tobias Riedlinger, Peter Stehr +3

Safe artificial intelligence for perception tasks remains a major challenge, partly due to the lack of data with high-quality labels. Annotations themselves are subject to aleatori…