J. Parker Mitchell

30 papers B 7C 1Journal 8Unranked 14

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