1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2022
Self-Certifying Classification by Linearized Deep Assignment
Bastian Boll, Alexander Zeilmann, Stefania Petra +1
We propose a novel class of deep stochastic predictors for classifying metric data on graphs within the PAC-Bayes risk certification paradigm. Classifiers are realized as linearly…
cs.CV2019★ 1 cited
End-to-End Learned Random Walker for Seeded Image Segmentation
Lorenzo Cerrone, Alexander Zeilmann, Fred A. Hamprecht
We present an end-to-end learned algorithm for seeded segmentation. Our method is based on the Random Walker algorithm, where we predict the edge weights of the underlying graph us…