arXiv Machine Learning July 28, 2026 By Lei Wang, Debashis Ghosh

MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback

Read the original on arXiv Machine Learning →

arXiv:2604. 23107v2 Announce Type: replace-cross Abstract: Causal effect estimation from observational data requires careful adjustment for confounding.

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

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