Multivariate Time Series Forecasting On Mimic

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

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

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