146 citations · 370 across the 14 of their papers we have counts for
Showing 2018Show all
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cs.LG2018★ 15 cited
Multi-variable LSTM neural network for autoregressive exogenous model
Tian Guo, Tao Lin
In this paper, we propose multi-variable LSTM capable of accurate forecasting and variable importance interpretation for time series with exogenous variables. Current attention mec…
cs.LG2018★ 39 cited
An interpretable LSTM neural network for autoregressive exogenous model
Tian Guo, Tao Lin, Yao Lu
In this paper, we propose an interpretable LSTM recurrent neural network, i.e., multi-variable LSTM for time series with exogenous variables. Currently, widely used attention mecha…
cs.LG2018★ 26 cited
Training DNNs with Hybrid Block Floating Point
Mario Drumond, Tao Lin, Martin Jaggi +1
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing datacenter operators to adopt domain-specific accelerators to train them. These accelerator…