J. Parker Mitchell

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 30

Top Topics

Evolutionary Optimization

Imitation Learning

Automated Design

Top Venues

Publications

Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators. IEEE Trans. Control. Syst. Technol. 30 (6) (2022)
Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
Opportunities for neuromorphic computing algorithms and applications. Nat. Comput. Sci. 2 (1) (2022)
Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
Publisher Correction: Opportunities for neuromorphic computing algorithms and applications. Nat. Comput. Sci. 2 (3) (2022)
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
Evolutionary vs imitation learning for neuromorphic control at the edge. Neuromorph. Comput. Eng. 2 (1) (2022)
Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion. ACC (2021)
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
Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. ICONS (2021)
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
Neuromorphic Computing for Autonomous Racing. ICONS (2021)
Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion. IEEE Control. Syst. Lett. 5 (6) (2021)
Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman
Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution. CEC (2021)
Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
Benchmarking the performance of neuromorphic and spiking neural network simulators. Neurocomputing 447 (2021)
J. Parker Mitchell, Catherine D. Schuman
Low Power Hardware-In-The-Loop Neuromorphic Training Accelerator. ICONS (2021)
Catherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas D. Skuda, J. Parker Mitchell
A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems. IJCNN (2021)
Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation. ICONS (2021)
Kathy W. Hylton, J. Parker Mitchell, Blake Van Hoy, Thomas P. Karnowski
Experiments and Analysis for Measuring Mechanical Motion with Event Cameras. IRIACV (2021)
J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok
Caspian: A Neuromorphic Development Platform. NICE (2020)
Daniel Elbrecht, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems. SSCI (2020)
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
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. CoRR (2020)
Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul
Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency. IGSC (Workshops) (2020)
Catherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Thomas E. Potok, James S. Plank
Evolutionary Optimization for Neuromorphic Systems. NICE (2020)
Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok
Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. CoRR (2020)
Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton
Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems. IJCNN (2020)
Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman
Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. IJCNN (2020)
Jonathan D. Ambrose, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman, Grant Bruer
GRANT: Ground-Roaming Autonomous Neuromorphic Targeter. IJCNN (2020)
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
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. IJCNN (2020)
Catherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton, Thomas E. Potok
Automated Design of Neuromorphic Networks for Scientific Applications at the Edge. IJCNN (2020)
Daniel Elbrecht, Maryam Parsa, Shruti R. Kulkarni, J. Parker Mitchell, Catherine D. Schuman
Training Spiking Neural Networks Using Combined Learning Approaches. SSCI (2020)
J. Parker Mitchell, Catherine D. Schuman, Thomas E. Potok
A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs. ICONS (2020)
Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy
Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems. IEEE BigData (2019)
Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok
Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. UEMCON (2019)
Catherine D. Schuman, Adam Disney, Susheela P. Singh, Grant Bruer, J. Parker Mitchell, Aleksander Klibisz, James S. Plank
Parallel Evolutionary Optimization for Neuromorphic Network Training. MLHPC@SC (2016)