Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift

Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, Jaegul Choo. Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift. In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022. OpenReview.net, 2022. [doi]

Authors

Taesung Kim

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Jinhee Kim

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Yunwon Tae

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Cheonbok Park

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Jang-Ho Choi

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Jaegul Choo

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