A one-class Gaussian anomaly detector, trained only on violation-free layout grids, predicts DRC violations before global routing with 99.95% reported test accuracy and 100% recall in the paper's own evaluation.
Soft voting-based ensemble approach to predict early stage DRC violations,
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PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning
A one-class Gaussian anomaly detector, trained only on violation-free layout grids, predicts DRC violations before global routing with 99.95% reported test accuracy and 100% recall in the paper's own evaluation.