TabPFN-3 scales tabular foundation models to 1M rows with synthetic pretraining, test-time compute, and benchmark-leading performance on tabular, relational, and tabular-text tasks while being up to 20x faster than TabPFN-2.5.
Deep learning models enable healthy donor management through prediction of mobilization success.Transplantation and Cellular Therapy, 32:S3
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