Machine learningDeep Learning, Time Series Forecasting

N-BEATSx

N-BEATSx is an extension of the N-BEATS neural time series forecasting model that incorporates exogenous (external) variables through a cross-learner architecture. Published in 2023, N-BEATSx improves upon N-BEATS by enabling the model to leverage additional features beyond the historical time series values.

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Sources

  1. Challu, C., Olivares, K. Q., Oreshkin, B., Garza, F., Mergenthaler-Canseco, M., & Dubrawski, A. (2023). N-BEATSx: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting. In ICLR 2023 Workshop on Multimodal Learning for Science (p. 4). link

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Referenced by

ScholarGateN-BEATSx (N-BEATSx: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting). Retrieved 2026-06-04 from https://scholargate.app/en/deep-learning/n-beatsx