Multivariate Time Series Forecasting On Mimic

MSE

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
T-LSTM	0.790 ± 0.060	Patient Subtyping via Time-Aware LSTM Networks
Neural Flows	0.490 ± 0.004	Neural Flows: Efficient Alternative to Neural ODEs
GRU-ODE-Bayes	0.480 ± 0.010	GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
FLD	0.444 ± 0.027	Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
GraFITi	0.396 ± 0.030	Forecasting Irregularly Sampled Time Series using Graphs

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