J. Parker Mitchell

According to our database, J. Parker Mitchell authored at least 27 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators.

Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell

IEEE Trans. Control. Syst. Technol., 2022

Evolutionary vs imitation learning for neuromorphic control at the edge.

Catherine 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

Neuromorph. Comput. Eng., 2022

Publisher Correction: Opportunities for neuromorphic computing algorithms and applications.

Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay

Nat. Comput. Sci., 2022

Opportunities for neuromorphic computing algorithms and applications.

Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay

Nat. Comput. Sci., 2022

2021

Benchmarking the performance of neuromorphic and spiking neural network simulators.

Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman

Neurocomputing, 2021

Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion.

Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell

IEEE Control. Syst. Lett., 2021

A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems.

Catherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas D. Skuda, J. Parker Mitchell

Proceedings of the International Joint Conference on Neural Networks, 2021

Neuromorphic Computing for Autonomous Racing.

Robert 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

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach.

Maryam Parsa, Catherine D. Schuman, Nitin Rathi, Amirkoushyar Ziabari, Derek C. Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay, Steven R. Young, Kaushik Roy

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Low Power Hardware-In-The-Loop Neuromorphic Training Accelerator.

J. Parker Mitchell, Catherine D. Schuman

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation.

Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Experiments and Analysis for Measuring Mechanical Motion with Event Cameras.

Kathy W. Hylton, J. Parker Mitchell, Blake Van Hoy, Thomas P. Karnowski

Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2021, 2021

Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution.

Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Training Spiking Neural Networks Using Combined Learning Approaches.

Daniel Elbrecht, Maryam Parsa, Shruti R. Kulkarni, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems.

Daniel Elbrecht, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolutionary Optimization for Neuromorphic Systems.

Catherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Thomas E. Potok, James S. Plank

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Caspian: A Neuromorphic Development Platform.

J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks.

Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Automated Design of Neuromorphic Networks for Scientific Applications at the Edge.

Catherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton, Thomas E. Potok

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems.

Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment.

Maryam 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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

GRANT: Ground-Roaming Autonomous Neuromorphic Targeter.

Jonathan D. Ambrose, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman, Grant Bruer

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs.

J. Parker Mitchell, Catherine D. Schuman, Thomas E. Potok

Proceedings of the International Conference on Neuromorphic Systems, 2020

Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency.

Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul

Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020

2019

Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks.

Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok

Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems.

Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2016

Parallel Evolutionary Optimization for Neuromorphic Network Training.

Catherine D. Schuman, Adam Disney, Susheela P. Singh, Grant Bruer, J. Parker Mitchell, Aleksander Klibisz, James S. Plank

Proceedings of the 2nd Workshop on Machine Learning in HPC Environments, 2016