#anomaly-scoring News & Analysis

2 articles tagged with #anomaly-scoring. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 96/10

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PAI: Preserving Amplitude Information in Representation-Based Time-Series Anomaly Detection

Researchers propose PAI, a novel anomaly scoring scheme that addresses a critical limitation in representation-based time-series anomaly detection by explicitly preserving amplitude information in learned embeddings. The method achieves significant performance improvements, with average gains of 98.4% on TSB-AD-U-Eva and 36.8% on TAB UV datasets, suggesting that amplitude retention is crucial for robust anomaly detection.

AINeutralarXiv – CS AI · May 296/10

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Masked Diffusion Modeling for Anomaly Detection

Researchers propose MaskDiff-AD, a novel anomaly detection method using masked diffusion models that operates on categorical and discrete data without requiring reverse-time sampling. The approach demonstrates competitive or superior performance compared to existing anomaly detection baselines across tabular and text datasets.