Steven R. Young
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Optimizing Deep Learning Hyper-parameters Through an Evolutionary Algorithm
SR Young, DC Rose, TP Karnowski, SH Lim, RM Patton
Proceedings of the Workshop on Machine Learning in High-Performance …, 2015
A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS
J Lu, S Young, I Arel, Holleman, J.
IEEE Journal of Solid-State Circuits 50 (1), 270-281, 2015
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
TE Potok, CD Schuman, SR Young, RM Patton, F Spedalieri, J Liu, ...
Proceedings of the Workshop on Machine Learning in High Performance …, 2016
A Fast and Stable Incremental Clustering Algorithm
S Young, I Arel, T Karnowski, D Rose
Information Technology: New Generations (ITNG), 2010 Seventh International …, 2010
Evolving Deep Networks Using HPC
SR Young, DC Rose, T Johnston, WT Heller, TP Karnowski, TE Potok, ...
Proceedings of the 3rd Workshop on Machine Learning in HPC Environments, 2017
Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment
GN Perdue, A Ghosh, M Wospakrik, F Akbar, DA Andrade, M Ascencio, ...
Journal of Instrumentation 13 (11), P11020, 2018
Data mining for better material synthesis: The case of pulsed laser deposition of complex oxides
SR Young, A Maksov, M Ziatdinov, Y Cao, M Burch, J Balachandran, L Li, ...
Journal of Applied Physics 123 (11), 2018
Adiabatic Quantum Computation Applied to Deep Learning Networks
J Liu, FM Spedalieri, KT Yao, TE Potok, C Schuman, S Young, R Patton, ...
Entropy 20 (5), 380, 2018
167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation
RM Patton, JT Johnston, SR Young, CD Schuman, DD March, TE Potok, ...
Proceedings of the International Conference for High Performance Computing …, 2018
Classifying and analyzing small-angle scattering data using weighted k nearest neighbors machine learning techniques
RK Archibald, M Doucet, T Johnston, SR Young, E Yang, WT Heller
Journal of Applied Crystallography 53 (2), 326-334, 2020
Optimizing Convolutional Neural Networks for Cloud Detection
T Johnston, SR Young, D Hughes, RM Patton, D White
Proceedings of the 3rd Workshop on Machine Learning in HPC Environments, 4, 2017
Accelerating Scientific Computing in the Post-Moore’s Era
KE Hamilton, CD Schuman, SR Young, RS Bennink, N Imam, TS Humble
ACM Transactions on Parallel Computing (TOPC) 7 (1), 1-31, 2020
An Analysis of Image Storage Systems for Scalable Training of Deep Neural Networks
SH Lim, SR Young, RM Patton
The Seventh workshop on Big Data Benchmarks, Performance Optimization, and …, 2016
Exascale Deep Learning to Accelerate Cancer Research
RM Patton, JT Johnston, SR Young, CD Schuman, TE Potok, DC Rose, ...
2019 IEEE International Conference on Big Data (Big Data), 1488-1496, 2019
Neural Networks and Graph Algorithms with Next-Generation Processors
KE Hamilton, CD Schuman, SR Young, N Imam, TS Humble
2018 IEEE International Parallel and Distributed Processing Symposium …, 2018
Vertex reconstruction of neutrino interactions using deep learning
AM Terwilliger, GN Perdue, D Isele, RM Patton, SR Young
2017 International Joint Conference on Neural Networks (IJCNN), 2275-2281, 2017
Deeppdf: A deep learning approach to extracting text from pdfs
C Stahl, S Young, D Herrmannova, R Patton, J Wells
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2018
Hierarchical Spatiotemporal Feature Extraction Using Recurrent Online Clustering
S Young, A Davis, A Mishtal, I Arel
Pattern Recognition Letters 37, 115-123, 2014
Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency
CD Schuman, SR Young, JP Mitchell, JT Johnston, D Rose, ...
2020 11th International Green and Sustainable Computing Workshops (IGSC), 1-8, 2020
Evolving Energy Efficient Convolutional Neural Networks
SR Young, P Devineni, M Parsa, JT Johnston, B Kay, RM Patton, ...
2019 IEEE International Conference on Big Data (Big Data), 4479-4485, 2019
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