arXiv Machine Learning July 14, 2026 By Jacques Raynal, Pierre Slangen, Elsa Raynal, Jacques Margerit

Detecting Explanatory Insufficiency in Learned Representations: A Framework for Representational Vigilance

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arXiv:2606. 13172v2 Announce Type: replace Abstract: Learned representations are central to modern machine learning and are commonly evaluated through predictive performance, robustness, uncertainty estimation, and generalization.

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