Multivariate Time Series Forecasting On Ushcn

MSE

评测结果

各个模型在此基准测试上的表现结果

模型名称	MSE	Paper Title	Repository
BRITS	0.53	BRITS: Bidirectional Recurrent Imputation for Time Series	-
T-LSTM	0.59	Patient Subtyping via Time-Aware LSTM Networks	-
NeuralODE-VAE	0.96	Neural Ordinary Differential Equations	-
Sequential VAE	0.83	Structured Inference Networks for Nonlinear State Space Models	-
NeuralODE-VAE-Mask	0.83	Neural Ordinary Differential Equations	-
FLD	0.258	Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting	-
GRU-ODE-Bayes	0.43	GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series	-
GraFITi	0.27	Forecasting Irregularly Sampled Time Series using Graphs	-

0 of 8 row(s) selected.