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Models/TranAd

TranAd

Reported on 8 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Methodology4 results

  • Anomaly DetectiononSMAP
    AUC· 2022-01-18
    99.21
    SOTA
    TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series DataarXiv:2201.07284
  • Anomaly DetectiononSMAP
    F1· 2022-01-18
    89.15
    best: 94.1 (DFM (flow matching))
    SOTA
    TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series DataarXiv:2201.07284
  • Anomaly DetectiononSMAP
    Recall· 2022-01-18
    99.99
    SOTA
    TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series DataarXiv:2201.07284
  • Anomaly DetectiononSMAP
    Precision· 2022-01-18
    80.43
    best: 89.7 (DFM (flow matching))
    TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series DataarXiv:2201.07284

Graphs4 results

  • Unsupervised Anomaly DetectiononSMAP
    AUC· 2022-01-18
    99.21
    SOTA
    TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series DataarXiv:2201.07284
  • Unsupervised Anomaly DetectiononSMAP
    F1· 2022-01-18
    89.15
    best: 94.1 (DFM (flow matching))
    SOTA
    TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series DataarXiv:2201.07284
  • Unsupervised Anomaly DetectiononSMAP
    Recall· 2022-01-18
    99.99
    SOTA
    TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series DataarXiv:2201.07284
  • Unsupervised Anomaly DetectiononSMAP
    Precision· 2022-01-18
    80.43
    best: 89.7 (DFM (flow matching))
    TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series DataarXiv:2201.07284