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

2 citations · 3 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2017★ 2 cited

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

Yagmur G. Cinar, Hamid Mirisaee, Parantapa Goswami +3

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