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ORCIDSteven D. Pyle
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2010 – 2019
- 2019
[j2]Steven D. Pyle
, Justin D. Sapp, Ronald F. DeMara:
Leveraging Stochasticity for In Situ Learning in Binarized Deep Neural Networks. Computer 52(5): 30-39 (2019)- [c4]Shadi Sheikhfaal, Steven D. Pyle, Soheil Salehi, Ronald F. DeMara:
An Ultra-Low Power Spintronic Stochastic Spiking Neuron with Self-Adaptive Discrete Sampling. MWSCAS 2019: 49-52 - 2018
- [j1]Steven D. Pyle, Kerem Yunus Camsari, Ronald F. DeMara:
Hybrid spin-CMOS stochastic spiking neuron for high-speed emulation of In vivo neuron dynamics. IET Comput. Digit. Tech. 12(4): 122-129 (2018) - [c3]Ramtin Zand, Kerem Yunus Camsari, Steven D. Pyle, Ibrahim Ahmed, Chris H. Kim, Ronald F. DeMara:
Low-Energy Deep Belief Networks Using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons. ACM Great Lakes Symposium on VLSI 2018: 15-20 - 2017
- [c2]Ronald F. DeMara, Arman Roohi, Ramtin Zand, Steven D. Pyle:
Heterogeneous Technology Configurable Fabrics for Field-Programmable Co-Design of CMOS and Spin-Based Devices. ICRC 2017: 1-4 - [i1]Ramtin Zand, Kerem Yunus Camsari, Ibrahim Ahmed, Steven D. Pyle, Chris H. Kim, Supriyo Datta, Ronald F. DeMara:
R-DBN: A Resistive Deep Belief Network Architecture Leveraging the Intrinsic Behavior of Probabilistic Devices. CoRR abs/1710.00249 (2017) - 2015
- [c1]Steven D. Pyle, Vignesh Thangavel, Stephen M. Williams, Ronald F. DeMara:
Self-Scaling Evolution of analog computation circuits with digital accuracy refinement. AHS 2015: 1-8
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