73 citations · 94 across the 4 of their papers we have counts for
4 papers
Differential Stochastic Simulated Annealing Processor for Fully Connected 2048-Spin Optimization
Naoya Onizawa, Md Mohaimenul Alam, Sean Smithson +2
A 2,048-spin fully connected annealing processor based on differential stochastic simulated annealing (DSSA) is presented as an architectural design in TSMC 28 nm CMOS with a 3 mm…
Efficient CMOS Invertible Logic Using Stochastic Computing
Sean C. Smithson, Naoya Onizawa, Brett H. Meyer +2
Invertible logic can operate in one of two modes: 1) a forward mode, in which inputs are presented and a single, correct output is produced, and 2) a reverse mode, in which the out…
Learning Recurrent Binary/Ternary Weights
Arash Ardakani, Zhengyun Ji, Sean C. Smithson +2
Recurrent neural networks (RNNs) have shown excellent performance in processing sequence data. However, they are both complex and memory intensive due to their recursive nature. Th…
Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization
Sean C. Smithson, Guang Yang, Warren J. Gross +1
Artificial neural networks have gone through a recent rise in popularity, achieving state-of-the-art results in various fields, including image classification, speech recognition,…