353 citations · 408 across the 7 of their papers we have counts for
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cs.LG2021★ 3 cited
Self-supervised learning for fast and scalable time series hyper-parameter tuning
Peiyi Zhang, Xiaodong Jiang, Ginger M Holt +4
Hyper-parameters of time series models play an important role in time series analysis. Slight differences in hyper-parameters might lead to very different forecast results for a gi…
cs.LG2019★ 50 cited
AR-Net: A simple Auto-Regressive Neural Network for time-series
Oskar Triebe, Nikolay Laptev, Ram Rajagopal
In this paper we present a new framework for time-series modeling that combines the best of traditional statistical models and neural networks. We focus on time-series with long-ra…