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cs.LG2020
Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados +1
Can meta-learning discover generic ways of processing time series (TS) from a diverse dataset so as to greatly improve generalization on new TS coming from different datasets? This…
cs.LG2019★ 164 cited
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados +1
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 an…