15 citations · 19 across the 6 of their papers we have counts for
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cs.LG2025
On the Impact of Weight Discretization in QUBO-Based SVM Training
Sascha Mücke
Training Support Vector Machines (SVMs) can be formulated as a QUBO problem, enabling the use of quantum annealing for model optimization. In this work, we study how the number of…
cs.LG2023★ 4 cited
Shapley Values with Uncertain Value Functions
Raoul Heese, Sascha Mücke, Matthias Jakobs +2
We propose a novel definition of Shapley values with uncertain value functions based on first principles using probability theory. Such uncertain value functions can arise in the c…
cs.LG2021★ 15 cited
Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework
Katharina Morik, Helena Kotthaus, Raphael Fischer +6
Machine learning applications have become ubiquitous. Their applications range from embedded control in production machines over process optimization in diverse areas (e.g., traffi…