AINeutralarXiv – CS AI · 7h ago6/10
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CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching
CRUMB is a new inference wrapper that makes prior-fitted networks (PFNs) more practical for large datasets by clustering test queries and selecting distributionally matched training subsets using maximum mean discrepancy minimization. The technique is architecture-agnostic, requires no retraining, and demonstrates superior performance across multiple PFN models on tabular benchmarks.