Interpretable Machine Learning for TabPFN

David Rundel, Julius Kobialka, Constantin von Crailsheim +3

The recently developed Prior-Data Fitted Networks (PFNs) have shown very promising results for applications in low-data regimes. The TabPFN model, a special case of PFNs for tabula…