Position-based Content Attention for Time Series Forecasting with Sequence-to-sequence RNNs

no code implementations • 29 Mar 2017 • Yagmur G. Cinar, Hamid Mirisaee, Parantapa Goswami, Eric Gaussier, Ali Ait-Bachir, Vadim Strijov

We propose here an extended attention model for sequence-to-sequence recurrent neural networks (RNNs) designed to capture (pseudo-)periods in time series.

Position Time Series +1