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Dmitri Carpov

2 accepted papers

2021

Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting

AAAI 2021technical

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 work provides positive evidence to this using a broad meta-learning framework which we show subsumes many existing meta…

Cited by 133SourcePDFScholar
2020

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

ICLR 2020poster

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. The architecture has a number of desirable properties, being interpretabl…

Cited by 1691SourceScholar