Smith, J. Darby
310  Ergebnisse:
Personensuche X
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1

Device Codesign using Reinforcement Learning:

, In: 2024 IEEE International Symposium on Circuits and Systems (ISCAS),
 
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3

AI-Enhanced Codesign of Neuromorphic Circuits:

, In: 2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS),
 
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5

Synaptic Sampling of Neural Networks:

, In: 2023 IEEE International Conference on Rebooting Computing (ICRC),
 
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6

Stochastic Neuromorphic Circuits for Solving MAXCUT:

, In: 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS),
Theilman, Bradley H. ; Wang, Yipu ; Parekh, Ojas... - p. 779-787 , 2023
 
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8

Learning to Parameterize a Stochastic Process Using Neuromo..:

, In: Proceedings of the International Conference on Neuromorphic Systems 2022,
 
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9

Random Bitstream Generation Using Voltage-Controlled Magnet..:

Liu, Samuel ; Kwon, Jaesuk ; Bessler, Paul W....
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits.  8 (2022)  2 - p. 194-202 , 2022
 
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10

Probabilistic Neural Circuits leveraging AI-Enhanced Codesi..:

, In: 2022 IEEE International Conference on Rebooting Computing (ICRC),
 
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13

Assessing a Neuromorphic Platform for use in Scientific Sto..:

, In: 2021 International Conference on Rebooting Computing (ICRC),
 
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14

Solving a steady-state PDE using spiking networks and neuro..:

, In: International Conference on Neuromorphic Systems 2020,
 
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15

Assessing the Impact of Electrostatic Drag on Processive Mo..:

Smith, J. Darby ; McKinley, Scott A.
Bulletin of Mathematical Biology.  80 (2018)  8 - p. 2088-2123 , 2018
 
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