Constant power loads in More Electric Vehicles - an overview. - Sean C. Smithson; Sheldon S. Williamson (IECON, 2012)

A Unified State-Space Model of Constant-Frequency Current-Mode-Controlled Power Converters in Continuous Conduction Mode. - Sean C. Smithson; Sheldon S. Williamson (IEEE Trans. Ind. Electron., 2015)

Neural networks designing neural networks: multi-objective hyper-parameter optimization. - Sean C. Smithson; Guang Yang; Warren J. Gross; Brett H. Meyer (ICCAD, 2016)

Stochastic Computing Can Improve Upon Digital Spiking Neural Networks. - Sean C. Smithson; Kaushik Boga; Arash Ardakani; Brett H. Meyer; Warren J. Gross (SiPS, 2016)

Study of Stochastic Invertible Multiplier Designs. - Kaito Nishino; Sean C. Smithson; Naoya Onizawa; Brett H. Meyer; Warren J. Gross; Hitoshi Yamagata; Hiroyuki Fujita; Takahiro Hanyu (ICECS, 2018)

Learning Recurrent Binary/Ternary Weights. - Arash Ardakani; Zhengyun Ji; Sean C. Smithson; Brett H. Meyer; Warren J. Gross (ICLR (Poster), 2019)

Efficient CMOS Invertible Logic Using Stochastic Computing. - Sean C. Smithson; Naoya Onizawa; Brett H. Meyer; Warren J. Gross; Takahiro Hanyu (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

In-Hardware Training Chip Based on CMOS Invertible Logic for Machine Learning. - Naoya Onizawa; Sean C. Smithson; Brett H. Meyer; Warren J. Gross; Takahiro Hanyu (IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020)

A Design Framework for Invertible Logic. - Naoya Onizawa; Kaito Nishino; Sean C. Smithson; Brett H. Meyer; Warren J. Gross; Hitoshi Yamagata; Hiroyuki Fujita; Takahiro Hanyu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)