arXiv Machine Learning July 14, 2026 By Yikang Chen, Zhengkang Guan, Haoyuan Qian, Peng Cui, Yi Yang, Kun Kuang

DAG-FM: A Foundation Model for Causal Discovery under Heterogeneous Causal Mechanisms

Read the original on arXiv Machine Learning →

arXiv:2607. 11510v1 Announce Type: new Abstract: Causal discovery from observational tabular data remains fundamentally challenging, primarily due to the heterogeneity of underlying causal mechanisms and the high-dimensional combinatorial search space of Directed Acyclic Graphs (DAGs).

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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FoundCause: Causal Discovery with Latent Confounders from Observational Data

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