Multivariate Time Series Imputation On Kdd

MSE (10% missing)

Results

Performance results of various models on this benchmark

		Paper Title	Repository
MICE	0.468	Multiple imputation using chained equations: issues and guidance for practice	-
GAIN	0.378	GAIN: Missing Data Imputation using Generative Adversarial Nets
GAN-2-stage	0.355	Multivariate Time Series Imputation with Generative Adversarial Networks	-
E^2GAN	0.334	E2GAN: End-to-End Generative Adversarial Network or Multivariate Time Series Imputation	-

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