N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

24 May 2019Boris N. OreshkinDmitri CarpovNicolas ChapadosYoshua Bengio

We focus on solving the univariate times series point forecasting problem using deep learning. We propose a deep neural architecture based on backward and forward residual links and a very deep stack of fully-connected layers... (read more)

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