AI RESEARCH
Post-hoc Stochastic Concept Bottleneck Models
arXiv CS.LG
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ArXi:2510.08219v4 Announce Type: replace Concept Bottleneck Models (CBMs) are interpretable models that predict the target variable through high-level human-understandable concepts, allowing users to intervene on mispredicted concepts to adjust the final output. While recent work has shown that modeling dependencies between concepts can improve CBM performance, especially under interventions, such approaches typically require re