79 citations · 110 across the 3 of their papers we have counts for
3 papers
cs.LG2018★ 8 cited
LARNN: Linear Attention Recurrent Neural Network
Guillaume Chevalier
The Linear Attention Recurrent Neural Network (LARNN) is a recurrent attention module derived from the Long Short-Term Memory (LSTM) cell and ideas from the consciousness Recurrent…
cs.CV2017★ 23 cited
Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
Yu Zhao, Rennong Yang, Guillaume Chevalier +1
Human activity recognition (HAR) has become a popular topic in research because of its wide application. With the development of deep learning, new ideas have appeared to address H…
cs.AI2017★ 79 cited
Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction
Yu Zhao, Rennong Yang, Guillaume Chevalier +2
Data analytics helps basketball teams to create tactics. However, manual data collection and analytics are costly and ineffective. Therefore, we applied a deep bidirectional long s…