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Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design

Yang, Chuhan et al.
arXiv (OAI Expanded) · Papers
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machine-learningoptimization-and-control
Early discovery of at least one valid design satisfying a target requirement is a central objective in failure-prone closed-loop inverse design. A natural batch baseline ranks candidates by a product-form marginal valid-hit score, but selecting the highest-ranked candidates independently can produce
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