Interpretable Tabular Foundation Models via In-Context Kernel Regression

Ratmir Miftachov, Bruno Charron, Simon Valentin

Tabular foundation models like TabPFN and TabICL achieve state-of-the-art performance through in-context learning, yet their architectures remain fundamentally opaque. We introduce…