Multivariate Time Series Forecasting On Ushcn
Metrics
MSE
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | MSE |
|---|---|
| brits-bidirectional-recurrent-imputation-for | 0.53 |
| patient-subtyping-via-time-aware-lstm | 0.59 |
| neural-ordinary-differential-equations | 0.96 |
| structured-inference-networks-for-nonlinear | 0.83 |
| neural-ordinary-differential-equations | 0.83 |
| functional-latent-dynamics-for-irregularly | 0.258 |
| gru-ode-bayes-continuous-modeling-of | 0.43 |
| forecasting-irregularly-sampled-time-series | 0.27 |