This is the first comprehensive survey of OOD generalization methodologies for time series, organized across data distribution, representation learning, and OOD evaluation.
In-flow: Instance normalization flow for non- stationary time series forecasting, in: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, p
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Out-of-Distribution Generalization in Time Series: A Survey
This is the first comprehensive survey of OOD generalization methodologies for time series, organized across data distribution, representation learning, and OOD evaluation.