Multivariate Time Series Imputation On Mujoco
Métriques
MSE (10^2, 50% missing)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | MSE (10^2, 50% missing) | Paper Title | Repository |
|---|---|---|---|
| RNN-VAE | 6.100 | Neural Ordinary Differential Equations | - |
| ODE-RNN | 0.665 | Latent ODEs for Irregularly-Sampled Time Series | - |
| Latent ODE (RNN enc.) | 0.447 | Neural Ordinary Differential Equations | - |
| RNN ∆t | 0.785 | - | - |
| RNN GRU-D | 0.748 | Recurrent Neural Networks for Multivariate Time Series with Missing Values | - |
| Latent ODE (ODE enc) | 0.285 | Latent ODEs for Irregularly-Sampled Time Series | - |
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