GeneICL: A Tabular Foundation Model for Bulk Transcriptomics
GeneICL, a 4.2M-parameter tabular model, leads 80 transcriptomic outcome tasks without inference-time training.
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GeneICL, a 4.2M-parameter tabular model, leads 80 transcriptomic outcome tasks without inference-time training.

NVIDIA released Kumo Tabular, open tabular models that predict new rows in one forward pass.
TabFM-Auto uses an agent to evolve data pipelines and leads TabArena and MLE-Bench tabular results.

Nums AI released Causilo, an Apache-2.0 tabular foundation model achieving the highest single-model Elo (1794) on TabArena for classification and regression.
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