Author

Siyuan Guo

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Jul 2026

PerturbPFN: Probing the Limits of Synthetic Priors in Drug Perturbation Modelling

The results show that PerturbPFN offers a complementary trade-off to specialized baselines, achieving competitive perturbation prediction with low inference cost while exposing interpretable intermediate estimates of targets, strengths, and system structure.

Yu-Che Gao, José Miguel Hernández-Lobato, Siyuan Guo · arXiv.org · 2 citations