Steven R. Young - Concepedia

Author

Steven R. Young

Also Known As

Kieran Barr, S. Young, S.R. Young, Steven R. Young, Steven Robert Young, Steven Young, Young Steven, Young, Steven, Young, Steven R.

Publications

1.3K

Citations

H-Index

Concepts

All Affiliations

Oak Ridge National Laboratory University of Tennessee at Knoxville Fermi National Accelerator Laboratory

About

Steven R. Young is an author at Oak Ridge National Laboratory specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	22	1.1K
2	Education	1	1	69
3	Management	1	1	21
4	Medicine	1	1	31
5	Natural Sciences	1	1	14

Steven R. Young

Publications

1.1K

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 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS Junjie Lu, Steven R. Young, Itamar Arel, IEEE Journal of Solid-State Circuits Efficient Feature ExtractionEngineeringMachine LearningHardware AccelerationFloating-gate Storage	2014	125
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
Review Of Progress F. Boehm, M. Chen, B. Cook, Continual Improvement ProcessProject ManagementEducationHuman ProgressScience And Technology Studies	1998	69
A Fast and Stable Incremental Clustering Algorithm Steven R. Young, Itamar Arel, Thomas P. Karnowski, Cluster ComputingIncremental LearningDocument ClusteringClustering ProcessMachine Learning	2010	64
Evolving Deep Networks Using HPC Steven R. Young, Derek Rose, Travis Johnston, Artificial IntelligenceGeometric LearningConvolutional Neural NetworkHyperparameter SearchEngineering	2017	48
Classifying and analyzing small-angle scattering data using weighted<i>k</i>nearest neighbors machine learning techniques Richard Archibald, Mathieu Doucet, Travis Johnston, Journal of Applied Crystallography EngineeringMachine LearningMachine Learning ToolUnsupervised Machine LearningClassification Method	2020	42
CARVE-a constructive algorithm for real-valued examples Steven R. Young, T. Downs IEEE Transactions on Neural Networks Mathematical ProgrammingArtificial IntelligenceEngineeringMachine LearningAlgorithmic Library	1998	38
Adiabatic Quantum Computation Applied to Deep Learning Networks Jeremy Liu, Federico M. Spedalieri, Ke-Thia Yao, Entropy EngineeringMachine LearningQuantum AlgorithmsQuantum ComputingNetwork Topologies	2018	33
167-PFlops Deep Learning for Electron Microscopy: From Learning Physics to Atomic Manipulation Robert M. Patton, Travis Johnston, Steven R. Young, EngineeringMachine LearningMicroscopyNanocomputing167-Pflops Deep Learning	2018	31

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