Multivariate Time Series Forecasting On Ushcn

MSE

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

		Paper Title
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
T-LSTM	0.59	Patient Subtyping via Time-Aware LSTM Networks
BRITS	0.53	BRITS: Bidirectional Recurrent Imputation for Time Series
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
FLD	0.258	Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting

0 of 8 row(s) selected.