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Gyeongdeok Seo

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#machine learning Preprint Sep 2026

What You Observe Determines How You Identify Causal Effects: Evaluating Causal Models across Observational Views

Causal foundation models (CFMs) pre-trained on data generated from various structural causal models (SCMs) have been proposed for estimating causal effects from observational data. However, differences in pre-training environments and evaluation protocols make it difficult to assess how their performance depends on the...

Hee-Kyung Jung, Gyeongdeok Seo, Hoyoon Byun et al. · 0 citations

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