Multivariate Time Series Forecasting On Mimic
Metrics
MSE
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | MSE |
|---|---|
| functional-latent-dynamics-for-irregularly | 0.444 ± 0.027 |
| gru-ode-bayes-continuous-modeling-of | 0.480 ± 0.010 |
| neural-flows-efficient-alternative-to-neural | 0.490 ± 0.004 |
| patient-subtyping-via-time-aware-lstm | 0.790 ± 0.060 |
| forecasting-irregularly-sampled-time-series | 0.396 ± 0.030 |