TabPFN outperforms published models on three energetic-material properties
Untuned TabPFN on Chemprop embeddings beats Chemprop itself and is more than ten times faster than XGBoost.
Stories per day · 30 days
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Stories tagged #tabpfn
Closing the Context Gap: Activation Alignment for Tabular In-Context Learning
Activation alignment lets tabular models use less context while recovering much of full-context accuracy.
Adapting prior-data fitted networks for tabular anomaly detection
Researchers adapt TabPFN features for tabular anomaly detection, with ZEN and FOCUS beating ADBench baselines.
Prior Labs Releases TabPFN-3.5: A Tabular Foundation Model That Beats the Winning Otto Kaggle Solution With Default Settings
Prior Labs releases TabPFN-3.5, a 220M-parameter open-weights tabular foundation model that beats the 2015 Otto Kaggle winning score with default settings.
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Attention Quantization for Tabular Foundation Models
FP8 quantization of attention queries, keys, and values speeds tabular foundation model inference up to 1.7x with no accuracy loss.