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Arik Reuter

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#machine learning Preprint Sep 2026

CIDER-FM: Foundation Models for Causal Inference from Diverse Experimental Regimes

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. However, observational data alone may leave multiple causal models compatible with available evidence, while experimental data with intervent...

Yu-Che Gao, Arik Reuter, Si-Yuan Guo et al. · 0 citations

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