Priorfitted Networks Pfns
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Recommendedpaper · 2026-06-11
“Prior-fitted networks (PFNs) are a promising class of tabular foundation models that perform in-context learning, whereby the entire labelled training set is supplied as context, and predictions for test queries are produced in a single forward pass.”
CRUMB: Efficient and Robust Inference for Prior-Fitted Networks via Distribution ↗