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Stratification Criteria for Machine Learning Pattern Discovery in Particle Physics - Preparing for the AlphaFold Moment

2026-05-25

Abstract excerpt

Machine learning capabilities are expanding into scientific domains at an accelerating pace. When applied to high energy physics pattern discovery, they will generate candidates faster than traditional evaluation can absorb. ML finds patterns in past data. It is inherently post hoc. Whether those patterns reflect structure or coincidence is unknowable at discovery time. This limitation applies equally to human and...

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Identifiers and source

Literature Corpus work
d6ecad18-7780-5fee-9a1b-177c95ddd408
DOI
10.20944/preprints202511.0138.v8
Open publication

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