7 citations · 10 across the 3 of their papers we have counts for
Showing cs.NEShow all
3 papers · 1 filter
cs.NE2018
A parallel implementation of the covariance matrix adaptation evolution strategy
Najeeb Khan
In many practical optimization problems, the derivatives of the functions to be optimized are unavailable or unreliable. Such optimization problems are solved using derivative-free…
cs.NE2018
Bridgeout: stochastic bridge regularization for deep neural networks
Najeeb Khan, Jawad Shah, Ian Stavness
A major challenge in training deep neural networks is overfitting, i.e. inferior performance on unseen test examples compared to performance on training examples. To reduce overfit…
cs.NE2017★ 3 cited
Prediction of Muscle Activations for Reaching Movements using Deep Neural Networks
Najeeb Khan, Ian Stavness
The motor control problem involves determining the time-varying muscle activation trajectories required to accomplish a given movement. Muscle redundancy makes motor control a chal…