Melika Rezaye Garkani

Balanced Adaptive Prototype Selection for Scalable TabPFN Inference on Large-Scale Tabular Data

Experiments on the million-row HIGGS and SUSY datasets show that 512 prototypes retain strong predictive performance and reliable calibration, corresponding to an approximately 1,953-fold context compression.