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cs.LG2026
Towards Evaluating Data Priors for Tabular Foundation Models
Zeynep Türkmen, Kürşat Kaya, Alexander Pfefferle +1
Data-generating priors are a central component of tabular foundation models because they define the task distribution used during pretraining. However, priors are rarely evaluated…
cs.LG2025★ 1 cited
nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN
Alexander Pfefferle, Johannes Hog, Lennart Purucker +1
Tabular foundation models such as TabPFN have revolutionized predictive machine learning for tabular data. At the same time, the driving factors of this revolution are hard to unde…