2 papers
cs.LG2026
CIDER-FM: Foundation Models for Causal Inference from Diverse Experimental Regimes
Yuche Gao, Arik Reuter, Siyuan Guo +3
Causal foundation models (CFMs) amortise causal inference over priors of synthetic structural causal models (SCMs), predicting the effect of an experiment on a specific variable. H…
cs.LG2026
PerturbPFN: Probing the Limits of Synthetic Priors in Drug Perturbation Modelling
Yuche Gao, José Miguel Hernández-Lobato, Siyuan Guo
Predicting cellular responses to unseen chemical perturbations is challenging due to unknown targets and mechanisms, high-dimensional expression responses, and limited experimental…