Article

Multi-Domain Counterfactual Causal Graphs for Spurious Pathway Detection and Functional Risk Estimation

2025-08-26

Abstract excerpt

<title>Abstract</title> <p>Deep neural networks (DNNs) are prone to exploiting spurious correlations, especially when trained on multi-source datasets, where pseudo-causal paths can form across domains and interfere with generalization. This work introduces a method for detecting such paths and quantifying their influence through a counterfactual causal graph framework. By assembling cross-domain causal graphs fr...

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Literature Corpus work: d68acf66-11f4-5c9f-a3e2-280217ab7f62
DOI: 10.21203/rs.3.rs-7455888/v1

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