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Sagan

Paper

Counterfactual Explanations for Deep Two-Sample Testing

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AI summary

arXiv:2606. 04009v1 Announce Type: new Abstract: Two-sample testing is a fundamental tool for detecting distributional differences across scientific domains, but classical tests (including kernel-based tests) can be ineffective on high-dimensional structured data such as images.