Robert M. Patton - Concepedia

Author

Robert M. Patton

Also Known As

Guojing Cong, Kulkarni, Shruti, Patton, Robert, Patton, Robert M., Patton, Robert M.; Potok, Thomas E., Patton, Robert M.; Young, Steven R.; Rose, Derek C.; Karnowski, Thomas P.; Lim, Seung-Hwan; Potok, Thomas E.; Johnston, J. Travis, R M Patton, R. Patton, R.M. Patton, ROBERT PATTON

133

Publications

1.8K

Citations

H-Index

Concepts

All Affiliations

Oak Ridge National Laboratory University of Tennessee at Knoxville Purdue University West Lafayette Fermi National Accelerator Laboratory East Tennessee State University

About

Robert M. Patton is an author at Oak Ridge National Laboratory specializing in engineering, computer science, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	23	1.4K
2	Social Sciences	9	9	590
3	Natural Sciences	2	2	95
4	Health Sciences	1	1	13
5	Medicine	1	1	31

Robert M. Patton

Publications

1.5K

Citations

H-Index

Page 1

	Year	Citations
Optimizing deep learning hyper-parameters through an evolutionary algorithm Steven R. Young, Derek Rose, Thomas P. Karnowski, Artificial IntelligenceEvolving Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2015	416
A Survey of Neuromorphic Computing and Neural Networks in Hardware Catherine D. Schuman, Thomas E. Potok, Robert M. Patton, arXiv (Cornell University) EngineeringMachine LearningComprehensive SurveyComputational NeuroscienceNeurocomputers	2017	362
Evolutionary Optimization for Neuromorphic Systems Catherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Evolving Neural NetworkEngineeringNeuromorphic SystemsComputational NeuroscienceComputer Engineering	2020	88
Efficiently embedding QUBO problems on adiabatic quantum computers Prasanna Date, Robert M. Patton, Catherine D. Schuman, Quantum Information Processing Quantum ScienceEngineeringQuantum ComputingPhysicsQuantum Optimization Algorithm	2019	81
A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers Thomas E. Potok, Catherine D. Schuman, Steven R. Young, ACM Journal on Emerging Technologies in Computing Systems EngineeringMachine LearningNetwork ModelQuantum ComputingQuantum Machine Learning	2018	72
Bayesian Multi-objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Frontiers in Neuroscience	2020	54
Evolving Deep Networks Using HPC Steven R. Young, Derek Rose, Travis Johnston, Artificial IntelligenceGeometric LearningConvolutional Neural NetworkHyperparameter SearchEngineering	2017	48
Accuracy of Supplemental Medical Information on Birth Certificates Abraham M. Lilienfeld, Elizabeth Parkhurst, Robert M. Patton, Public Health Reports (1896-1970)	1951	39
Adiabatic Quantum Computation Applied to Deep Learning Networks Jeremy Liu, Federico M. Spedalieri, Ke-Thia Yao, Entropy EngineeringMachine LearningQuantum AlgorithmsQuantum ComputingNetwork Topologies	2018	33
Caspian J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, EngineeringFpga ArchitectureComputer ArchitectureNeurochipSocial Sciences	2020	32

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