J. Parker Mitchell - researchr alias

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Viewing Publication 1 - 28 from 28

2022

Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density EstimatorsBryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell. tcst, 30(6):2433-2449, 2022. [doi]

Evolutionary vs imitation learning for neuromorphic control at the edgeCatherine D. Schuman, Robert M. Patton, Shruti R. Kulkarni, Maryam Parsa, Christopher G. Stahl, Nicholas Quentin Haas, J. Parker Mitchell, Shay Snyder, Amelie Nagle, Alexandra Shanafield, Thomas E. Potok. neuromorphic, 2(1):14002, 2022. [doi]

Opportunities for neuromorphic computing algorithms and applicationsCatherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay. ncs, 2(1):10-19, 2022. [doi]

Publisher Correction: Opportunities for neuromorphic computing algorithms and applicationsCatherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay. ncs, 2(3):205, 2022. [doi]

2021

Experiments and Analysis for Measuring Mechanical Motion with Event CamerasKathy W. Hylton, J. Parker Mitchell, Blake Van Hoy, Thomas P. Karnowski. ei-iriacv 2021: 1-8 [doi]

Training Spiking Neural Networks with Synaptic Plasticity under Integer RepresentationShruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman. icons2 2021: [doi]

Benchmarking the performance of neuromorphic and spiking neural network simulatorsShruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman. ijon, 447:145-160, 2021. [doi]

Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted CombustionBryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell. amcc 2021: 1830-1835 [doi]

Low Power Hardware-In-The-Loop Neuromorphic Training AcceleratorJ. Parker Mitchell, Catherine D. Schuman. icons2 2021: [doi]

Multi-Objective Hyperparameter Optimization for Spiking Neural Network NeuroevolutionMaryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman. cec 2021: 1225-1232 [doi]

Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization ApproachMaryam Parsa, Catherine D. Schuman, Nitin Rathi, Amirkoushyar Ziabari, Derek C. Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay, Steven R. Young, Kaushik Roy 0001. icons2 2021: [doi]

Neuromorphic Computing for Autonomous RacingRobert M. Patton, Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Nicholas Quentin Haas, Christopher G. Stahl, Spencer Paulissen, Prasanna Date, Thomas E. Potok, Shay Sneider. icons2 2021: [doi]

A Software Framework for Comparing Training Approaches for Spiking Neuromorphic SystemsCatherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas D. Skuda, J. Parker Mitchell. ijcnn 2021: 1-10 [doi]

2020

GRANT: Ground-Roaming Autonomous Neuromorphic TargeterJonathan D. Ambrose, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman, Grant Bruer. ijcnn 2020: 1-8 [doi]

Training Spiking Neural Networks Using Combined Learning ApproachesDaniel Elbrecht, Maryam Parsa, Shruti R. Kulkarni, J. Parker Mitchell, Catherine D. Schuman. ssci 2020: 1995-2001 [doi]

Evolving Ensembles of Spiking Neural Networks for Neuromorphic SystemsDaniel Elbrecht, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman. ssci 2020: 1989-1994 [doi]

Caspian: A Neuromorphic Development PlatformJ. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok. nice 2020: [doi]

A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAsJ. Parker Mitchell, Catherine D. Schuman, Thomas E. Potok. icons2 2020: [doi]

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic DeploymentMaryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy 0001. ijcnn 2020: 1-9 [doi]

Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine EfficiencyCatherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul. green 2020: 1-8 [doi]

Evolutionary Optimization for Neuromorphic SystemsCatherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Thomas E. Potok, James S. Plank. nice 2020: [doi]

Automated Design of Neuromorphic Networks for Scientific Applications at the EdgeCatherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton, Thomas E. Potok. ijcnn 2020: 1-7 [doi]

Resilience and Robustness of Spiking Neural Networks for Neuromorphic SystemsCatherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton. ijcnn 2020: 1-10 [doi]

Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural NetworksAaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman. ijcnn 2020: 1-8 [doi]

2019

Multi-Objective Optimization for Size and Resilience of Spiking Neural NetworksMihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok. uemcom 2019: 433-439 [doi]

Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic SystemsMaryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy 0001. bigdataconf 2019: 4472-4478 [doi]

2016

Parallel Evolutionary Optimization for Neuromorphic Network TrainingCatherine D. Schuman, Adam Disney, Susheela P. Singh, Grant Bruer, J. Parker Mitchell, Aleksander Klibisz, James S. Plank. sc 2016: 36-46 [doi]

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