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Si-Yuan Guo

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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
#machine learning Preprint Aug 2026

Advancing Open and Reproducible Relational Learning: RelArena-$\alpha$, TabPFN-Rel and RPI

This first release of Prior Labs in relational learning opens-source three pieces of software that expect to accelerate research in the field towards meaningful real-world impact and releases an initial version of RPI, an open-source, model-agnostic interface that enables early adopters to easily define problems on new...

A. Hayler, Klemens Flöge, Alan Arazi et al. · 3 citations · ⚡1

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