GAMformer: Bridging Tabular Foundation Models and Interpretable Machine Learning

Andreas Mueller, Julien Siems, Harsha Nori +4

While interpretability is crucial for machine learning applications in safety-critical domains and for regulatory compliance, existing tabular foundation models like TabPFN lack tr…