arXiv stat.ML
· Papers
Can Tabular In-Context Learners Generalize to Biomolecular Property Prediction?
arXiv:2606.31126v2 Announce Type: replace-cross Abstract: Predicting biomolecular properties from limited labeled data is a central bottleneck in protein engineering and small-molecule design. As strong pretrained encoders now supply rich fixed-length representations, the difficulty has shifted from representation lear