Multivariate Time Series Forecasting On 1
Metrics
MSE (10^-2, 50% missing)
Results
Performance results of various models on this benchmark
Model Name | MSE (10^-2, 50% missing) | Paper Title | Repository |
|---|---|---|---|
| RNN GRU-D | 5.833 | Recurrent Neural Networks for Multivariate Time Series with Missing Values | - |
| ODE-RNN | 26.463 | Latent ODEs for Irregularly-Sampled Time Series | - |
| Latent ODE (RNN enc.) | 1.377 | Neural Ordinary Differential Equations | - |
| RNN ∆t | 30.571 | - | - |
| Latent ODE (ODE enc) | 1.258 | Latent ODEs for Irregularly-Sampled Time Series | - |
| RNN-VAE | 1.782 | Neural Ordinary Differential Equations | - |
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