Multivariate Time Series Forecasting On Ushcn

MSE

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	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	-

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