3 citations · 6 across the 7 of their papers we have counts for
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cs.LG2018
IEA: Inner Ensemble Average within a convolutional neural network
Abduallah Mohamed, Xinrui Hua, Xianda Zhou +1
Ensemble learning is a method of combining multiple trained models to improve model accuracy. We propose the usage of such methods, specifically ensemble average, inside Convolutio…
cs.NE2018
MCRM: Mother Compact Recurrent Memory
Abduallah A. Mohamed, Christian Claudel
LSTMs and GRUs are the most common recurrent neural network architectures used to solve temporal sequence problems. The two architectures have differing data flows dealing with a c…
math.AP2018
A Fast Lax-Hopf formula to solve the Lighthill-Whitham-Richards traffic flow model on networks
Michele Simoni, Christian Claudel
Efficient and exact algorithms are important for performing fast and accurate traffic network simulations with macroscopic traffic models. In this paper, we extend the semi-analyti…