most citedGated Transformer Networks for Multivariate Time Series Classification

100 citations · 100 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021

Multi-treatment Effect Estimation from Biomedical Data

Raquel Aoki, Yizhou Chen, Martin Ester

This work proposes the M3E2, a multi-task learning neural network model to estimate the effect of multiple treatments. In contrast to existing methods, M3E2 can handle multiple tre…

cs.LG2021★ 100 cited

Gated Transformer Networks for Multivariate Time Series Classification

Minghao Liu, Shengqi Ren, Siyuan Ma +4

Deep learning model (primarily convolutional networks and LSTM) for time series classification has been studied broadly by the community with the wide applications in different dom…