2026
Diagnosing Failures in Generalization from Task-Relevant Representational Geometry
ICLR 2026poster
Generalization—the ability to perform well beyond the training context—is a hallmark of biological and artificial intelligence, yet anticipating unseen failures remains a central challenge. Conventional approaches often take a bottom-up mechanistic route by reverse-engineering interpretable features…