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arXiv AI By Chama Bensmail

EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs

Read the original on arXiv AI →

arXiv:2512. 22240v5 Announce Type: replace-cross Abstract: Machine learning models are primarily judged by predictive performance, especially in applied genomics, where explanations are read as biological findings.

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

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