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Models/ODE-RNN

ODE-RNN

Reported on 13 benchmarks across 6 tasks · 2 papers · 4 SOTA

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

Methodology9 results

  • Point ProcessesonRetweet MTPP
    MAE· 2024-06-20
    18.38
    best: 18.27 (IFTPP)
    SOTA
    HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?arXiv:2406.14341
  • Point ProcessesonRetweet MTPP
    T-mAP· 2024-06-20
    48.81
    best: 57.37 (DeTPP)
    SOTA
    HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?arXiv:2406.14341
  • Point ProcessesonAgeGroup Transactions MTPP
    Accuracy (%)· 2024-06-20
    35.6
    SOTA
    HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?arXiv:2406.14341
  • Point ProcessesonAgeGroup Transactions MTPP
    MAE· 2024-06-20
    0.695
    best: 0.693 (IFTPP)
    SOTA
    HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?arXiv:2406.14341
  • Point ProcessesonRetweet MTPP
    Accuracy (%)· 2024-06-20
    59.95
    best: 60.08 (NHP)
    HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?arXiv:2406.14341
  • Point ProcessesonRetweet MTPP
    OTD· 2024-06-20
    165.3
    best: 172.7 (IFTPP)
    HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?arXiv:2406.14341
  • Point ProcessesonAgeGroup Transactions MTPP
    OTD· 2024-06-20
    6.97
    HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?arXiv:2406.14341
  • Point ProcessesonAgeGroup Transactions MTPP
    T-mAP· 2024-06-20
    5.52
    best: 9.17 (DeTPP)
    HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?arXiv:2406.14341
  • Feature EngineeringonMuJoCo
    MSE (10^2, 50% missing)· 2019-07-08
    0.665
    best: 0.285 (Latent ODE (ODE enc))
    Latent ODEs for Irregularly-Sampled Time SeriesarXiv:1907.03907

Time Series4 results

  • ImputationonMuJoCo
    MSE (10^2, 50% missing)· 2019-07-08
    0.665
    best: 0.285 (Latent ODE (ODE enc))
    Latent ODEs for Irregularly-Sampled Time SeriesarXiv:1907.03907
  • Time Series ForecastingonMuJoCo
    MSE (10^-2, 50% missing)· 2019-07-08
    26.463
    best: 1.258 (Latent ODE (ODE enc))
    Latent ODEs for Irregularly-Sampled Time SeriesarXiv:1907.03907
  • Time Series AnalysisonMuJoCo
    MSE (10^-2, 50% missing)· 2019-07-08
    26.463
    best: 1.258 (Latent ODE (ODE enc))
    Latent ODEs for Irregularly-Sampled Time SeriesarXiv:1907.03907
  • Multivariate Time Series ForecastingonMuJoCo
    MSE (10^-2, 50% missing)· 2019-07-08
    26.463
    best: 1.258 (Latent ODE (ODE enc))
    Latent ODEs for Irregularly-Sampled Time SeriesarXiv:1907.03907