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Models/ContextFlow++ (Glow-based)

ContextFlow++ (Glow-based)

Reported on 8 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

  • Anomaly DetectiononSMAP
    F1· 2024-06-02
    93.62
    best: 94.1 (DFM (flow matching))
    SOTA
    ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingarXiv:2406.00578
  • Anomaly DetectiononSMAP
    Precision· 2024-06-02
    88.64
    best: 89.7 (DFM (flow matching))
    SOTA
    ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingarXiv:2406.00578
  • Anomaly DetectiononSMAP
    AUC· 2024-06-02
    98.66
    best: 99.21 (TranAd)
    ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingarXiv:2406.00578
  • Anomaly DetectiononSMAP
    Recall· 2024-06-02
    99.19
    best: 99.99 (TranAd)
    ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingarXiv:2406.00578

Graphs4 results

  • Unsupervised Anomaly DetectiononSMAP
    F1· 2024-06-02
    93.62
    best: 94.1 (DFM (flow matching))
    SOTA
    ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingarXiv:2406.00578
  • Unsupervised Anomaly DetectiononSMAP
    Precision· 2024-06-02
    88.64
    best: 89.7 (DFM (flow matching))
    SOTA
    ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingarXiv:2406.00578
  • Unsupervised Anomaly DetectiononSMAP
    AUC· 2024-06-02
    98.66
    best: 99.21 (TranAd)
    ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingarXiv:2406.00578
  • Unsupervised Anomaly DetectiononSMAP
    Recall· 2024-06-02
    99.19
    best: 99.99 (TranAd)
    ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingarXiv:2406.00578