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causal discovery 1foundation models 1synthetic data 1variational inference 1zero-shot learning 1

From the 1 of 1 linked paper with an AI index.

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1 paper

cs.LG2026

CDFM: Towards a General-Purpose Causal Discovery Foundation Model

Jie Qiao, Ruichu Cai, Zijian Li +6

The paper proposes CDFM, a foundation model trained on synthetic causal graphs that can infer causal structures in a zero‑shot manner across diverse domains, using a variational fr…