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Models/SCINet

SCINet

Reported on 80 benchmarks across 2 tasks · 1 paper · 68 SOTA

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

Time Series80 results

  • Time Series ForecastingonETTh1 (24) Multivariate
    MAE· uses extra data· 2021-06-17
    0.342
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (24) Multivariate
    MSE· uses extra data· 2021-06-17
    0.3
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (168) Multivariate
    MAE· 2021-06-17
    0.38
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (168) Multivariate
    MSE· 2021-06-17
    0.342
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (24) Univariate
    MAE· 2021-06-17
    0.127
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (24) Univariate
    MSE· 2021-06-17
    0.029
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (720) Multivariate
    MAE· 2021-06-17
    0.488
    best: 0.418 (xPatch)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (720) Multivariate
    MSE· 2021-06-17
    0.475
    best: 0.372 (RLinear)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (720) Multivariate
    MAE· 2021-06-17
    0.527
    best: 0.447 (SegRNN)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (720) Multivariate
    MSE· 2021-06-17
    0.544
    best: 0.409 (DiPE-Linear)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (336) Multivariate
    MAE· 2021-06-17
    0.409
    best: 0.36 (xPatch)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (336) Multivariate
    MSE· 2021-06-17
    0.365
    best: 0.312 (xPatch)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (720) Univariate
    MAE· 2021-06-17
    0.25
    best: 0.223 (AutoCon)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (720) Univariate
    MSE· 2021-06-17
    0.099
    best: 0.078 (AutoCon)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (24) Multivariate
    MAE· 2021-06-17
    0.263
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (24) Multivariate
    MSE· 2021-06-17
    0.18
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (24) Univariate
    MAE· 2021-06-17
    0.183
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (24) Univariate
    MSE· 2021-06-17
    0.065
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (336) Multivariate
    MAE· 2021-06-17
    0.495
    best: 0.2158 (DeformTime)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (336) Multivariate
    MSE· 2021-06-17
    0.504
    best: 0.374 (D-PAD)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (168) Multivariate
    MAE· 2021-06-17
    0.417
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (168) Multivariate
    MSE· 2021-06-17
    0.408
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (168) Univariate
    MAE· 2021-06-17
    0.21
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (168) Univariate
    MSE· 2021-06-17
    0.071
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (48) Multivariate
    MAE· 2021-06-17
    0.388
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (48) Multivariate
    MSE· 2021-06-17
    0.361
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (48) Univariate
    MAE· 2021-06-17
    0.154
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (48) Univariate
    MSE· 2021-06-17
    0.041
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (336) Univariate
    MAE· 2021-06-17
    0.234
    best: 0.215 (SegRNN)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh1 (336) Univariate
    MSE· 2021-06-17
    0.084
    best: 0.073 (SegRNN)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (48) Multivariate
    MAE· 2021-06-17
    0.303
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (48) Multivariate
    MSE· 2021-06-17
    0.23
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (48) Univariate
    MAE· 2021-06-17
    0.227
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (48) Univariate
    MSE· 2021-06-17
    0.093
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (24) Multivariate
    MAE· uses extra data· 2021-06-17
    0.342
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (24) Multivariate
    MSE· uses extra data· 2021-06-17
    0.3
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (168) Multivariate
    MAE· 2021-06-17
    0.38
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (168) Multivariate
    MSE· 2021-06-17
    0.342
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (24) Univariate
    MAE· 2021-06-17
    0.127
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (24) Univariate
    MSE· 2021-06-17
    0.029
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (720) Multivariate
    MAE· 2021-06-17
    0.488
    best: 0.418 (xPatch)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (720) Multivariate
    MSE· 2021-06-17
    0.475
    best: 0.372 (RLinear)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (720) Multivariate
    MAE· 2021-06-17
    0.527
    best: 0.447 (SegRNN)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (720) Multivariate
    MSE· 2021-06-17
    0.544
    best: 0.409 (DiPE-Linear)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (336) Multivariate
    MAE· 2021-06-17
    0.409
    best: 0.36 (xPatch)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (336) Multivariate
    MSE· 2021-06-17
    0.365
    best: 0.312 (xPatch)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (720) Univariate
    MAE· 2021-06-17
    0.25
    best: 0.223 (AutoCon)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (720) Univariate
    MSE· 2021-06-17
    0.099
    best: 0.078 (AutoCon)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (24) Multivariate
    MAE· 2021-06-17
    0.263
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (24) Multivariate
    MSE· 2021-06-17
    0.18
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (24) Univariate
    MAE· 2021-06-17
    0.183
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (24) Univariate
    MSE· 2021-06-17
    0.065
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (336) Multivariate
    MAE· 2021-06-17
    0.495
    best: 0.2158 (DeformTime)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (336) Multivariate
    MSE· 2021-06-17
    0.504
    best: 0.374 (D-PAD)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (168) Multivariate
    MAE· 2021-06-17
    0.417
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (168) Multivariate
    MSE· 2021-06-17
    0.408
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (168) Univariate
    MAE· 2021-06-17
    0.21
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (168) Univariate
    MSE· 2021-06-17
    0.071
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (48) Multivariate
    MAE· 2021-06-17
    0.388
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (48) Multivariate
    MSE· 2021-06-17
    0.361
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (48) Univariate
    MAE· 2021-06-17
    0.154
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (48) Univariate
    MSE· 2021-06-17
    0.041
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (336) Univariate
    MAE· 2021-06-17
    0.234
    best: 0.215 (SegRNN)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh1 (336) Univariate
    MSE· 2021-06-17
    0.084
    best: 0.073 (SegRNN)
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (48) Multivariate
    MAE· 2021-06-17
    0.303
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (48) Multivariate
    MSE· 2021-06-17
    0.23
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (48) Univariate
    MAE· 2021-06-17
    0.227
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (48) Univariate
    MSE· 2021-06-17
    0.093
    SOTA
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (336) Univariate
    MAE· 2021-06-17
    0.329
    best: 0.323 (Informer)
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (336) Univariate
    MSE· 2021-06-17
    0.166
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (168) Univariate
    MAE· 2021-06-17
    0.311
    best: 0.306 (Informer)
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (168) Univariate
    MSE· 2021-06-17
    0.158
    best: 0.154 (Informer)
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (720) Univariate
    MAE· 2021-06-17
    0.429
    best: 0.338 (Informer)
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series ForecastingonETTh2 (720) Univariate
    MSE· 2021-06-17
    0.286
    best: 0.177 (AutoCon)
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (336) Univariate
    MAE· 2021-06-17
    0.329
    best: 0.323 (Informer)
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (336) Univariate
    MSE· 2021-06-17
    0.166
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (168) Univariate
    MAE· 2021-06-17
    0.311
    best: 0.306 (Informer)
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (168) Univariate
    MSE· 2021-06-17
    0.158
    best: 0.154 (Informer)
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (720) Univariate
    MAE· 2021-06-17
    0.429
    best: 0.338 (Informer)
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305
  • Time Series AnalysisonETTh2 (720) Univariate
    MSE· 2021-06-17
    0.286
    best: 0.177 (AutoCon)
    SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionarXiv:2106.09305