21 citations · 39 across the 12 of their papers we have counts for
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cs.AI2026
Uncertainty Gating for Cost-Aware Explainable Artificial Intelligence
Georgii Mikriukov, Grégoire Montavon, Marina M. -C. Höhne
Post-hoc explanation methods are widely used to interpret black-box predictions, but their generation is often computationally expensive and their reliability is not guaranteed. We…
cs.AI2023★ 13 cited
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability
Georgii Mikriukov, Gesina Schwalbe, Christian Hellert +1
Analysis of how semantic concepts are represented within Convolutional Neural Networks (CNNs) is a widely used approach in Explainable Artificial Intelligence (XAI) for interpretin…