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2020 – today
- 2024
[c10]Suma George Cardwell
, Karan Patel, Catherine D. Schuman, J. Darby Smith, Jaesuk Kwon, Andrew Maicke, Jared Arzate, Jean Anne C. Incorvia:
Device Codesign using Reinforcement Learning. ISCAS 2024: 1-5- [i6]Karan P. Patel, Andrew Maicke, Jared Arzate, Jaesuk Kwon, J. Darby Smith, James B. Aimone, Jean Anne C. Incorvia, Suma George Cardwell, Catherine D. Schuman:
AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators. CoRR abs/2411.01008 (2024) - 2023
- [c9]Douglas Cale Crowder, John Darby Smith, Suma George Cardwell:
Deep Reinforcement Learning Methods for Discovering Novel Neuromorphic Devices. ICONS 2023: 37:1-37:8 - [c8]James B. Aimone, William Severa, J. Darby Smith:
Synaptic Sampling of Neural Networks. ICRC 2023: 1-9 - [c7]Bradley H. Theilman, Yipu Wang, Ojas Parekh, William Severa, J. Darby Smith, James B. Aimone:
Stochastic Neuromorphic Circuits for Solving MAXCUT. IPDPS 2023: 779-787 - [c6]Douglas Cale Crowder, J. Darby Smith, Suma George Cardwell:
AI-Enhanced Codesign of Neuromorphic Circuits. MWSCAS 2023: 1025-1029 - [i5]James B. Aimone, William Severa, J. Darby Smith:
Synaptic Sampling of Neural Networks. CoRR abs/2311.13038 (2023) - 2022
- [j1]James B. Aimone, Prasanna Date, Gabriel A. Fonseca Guerra, Kathleen E. Hamilton, Kyle Henke, Bill Kay, Garrett T. Kenyon, Shruti R. Kulkarni, Susan M. Mniszewski, Maryam Parsa, Sumedh R. Risbud, Catherine D. Schuman, William Severa, J. Darby Smith:
A review of non-cognitive applications for neuromorphic computing. Neuromorph. Comput. Eng. 2(2): 32003 (2022) - [c5]William Severa, J. Darby Smith, James Bradley Aimone, Richard B. Lehoucq:
Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation. ICONS 2022: 7:1-7:7 - [c4]Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone:
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. ICRC 2022: 57-65 - [c3]Craig M. Vineyard, Suma Cardwell, Frances S. Chance, Srideep Musuvathy, Fred Rothganger, William Severa, John Darby Smith, Corinne Teeter, Felix Wang, James B. Aimone:
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. NICE 2022: 40-49 - [i4]Bradley H. Theilman, Yipu Wang, Ojas D. Parekh, William Severa, J. Darby Smith, James B. Aimone:
Stochastic Neuromorphic Circuits for Solving MAXCUT. CoRR abs/2210.02588 (2022) - [i3]Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone:
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. CoRR abs/2212.00625 (2022) - 2021
- [c2]James B. Aimone, Richard B. Lehoucq, William Severa, J. Darby Smith:
Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling. ICRC 2021: 64-73 - [i2]J. Darby Smith, Aaron J. Hill, Leah E. Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas Parekh, William Severa, James B. Aimone:
Neuromorphic scaling advantages for energy-efficient random walk computation. CoRR abs/2107.13057 (2021) - 2020
- [c1]J. Darby Smith, William Severa, Aaron J. Hill, Leah Reeder, Brian Franke, Richard B. Lehoucq, Ojas D. Parekh, James B. Aimone:
Solving a steady-state PDE using spiking networks and neuromorphic hardware. ICONS 2020: 27:1-27:8 - [i1]J. Darby Smith, William Severa, Aaron J. Hill, Leah Reeder, Brian Franke, Richard B. Lehoucq, Ojas D. Parekh, James B. Aimone:
Solving a steady-state PDE using spiking networks and neuromorphic hardware. CoRR abs/2005.10904 (2020)
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aka: James Bradley Aimone
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