4 citations · 14 across the 10 of their papers we have counts for
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cs.CV2025
Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations
Eren Erogullari, Sebastian Lapuschkin, Wojciech Samek +1
Concept Activation Vectors (CAVs) are widely used to model human-understandable concepts as directions within the latent space of neural networks. They are trained by identifying d…
cs.AI2025★ 4 cited
Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data
Frederik Pahde, Thomas Wiegand, Sebastian Lapuschkin +1
Deep neural networks are increasingly employed in high-stakes medical applications, despite their tendency for shortcut learning in the presence of spurious correlations, which can…