82 citations · 112 across the 4 of their papers we have counts for
4 papers
Intelligent gradient amplification for deep neural networks
Sunitha Basodi, Krishna Pusuluri, Xueli Xiao +1
Deep learning models offer superior performance compared to other machine learning techniques for a variety of tasks and domains, but pose their own challenges. In particular, deep…
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm
Xueli Xiao, Ming Yan, Sunitha Basodi +2
Convolutional Neural Networks (CNN) have gained great success in many artificial intelligence tasks. However, finding a good set of hyperparameters for a CNN remains a challenging…
Dynamics and bifurcations in multistable 3-cell neural networks
J. Collens, K. Pusuluri, A. Kelly +5
We disclose the generality of the intrinsic mechanisms underlying multistability in reciprocally inhibitory 3-cell circuits composed of simplified, low-dimensional models of oscill…
Gradient Amplification: An efficient way to train deep neural networks
Sunitha Basodi, Chunyan Ji, Haiping Zhang +1
Improving performance of deep learning models and reducing their training times are ongoing challenges in deep neural networks. There are several approaches proposed to address the…