DepthViT, a ~300k-parameter masked-autoencoder ensemble with depth-wise attention and per-run refreshed Z-statistics, sustains >98.8% precision on synthetic HCAL occupancy anomalies across CMS 2018/2022 runs.
Long Horizon Anomaly Prediction in Multivariate Time Series with Causal Autoen- coders,
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Continual Learning via Ensemble-Based Depth-Wise Masked Autoencoders for Data Quality Monitoring in High-Energy Physics
DepthViT, a ~300k-parameter masked-autoencoder ensemble with depth-wise attention and per-run refreshed Z-statistics, sustains >98.8% precision on synthetic HCAL occupancy anomalies across CMS 2018/2022 runs.