| 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 | 412 | 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 | 156 | 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 | 81 | 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 | 74 | 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 | 47 | 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 | 33 | 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 | 32 | 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), 115303, 2018 | 28 | 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 | 23 | 2018 |
| 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 | 19 | 2020 |
| 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 | 17 | 2020 |
| 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 | 17 | 2018 |
| 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 | 16 | 2016 |
| Hierarchical Spatiotemporal Feature Extraction Using Recurrent Online Clustering S Young, A Davis, A Mishtal, I Arel Pattern Recognition Letters 37, 115-123, 2014 | 16 | 2014 |
| 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 | 15 | 2017 |
| 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 | 15 | 2017 |
| On the Impact of Approximate Computation in an Analog DeSTIN Architecture S Young, J Lu, J Holleman, I Arel IEEE transactions on neural networks and learning systems 25 (5), 934-946, 2014 | 15 | 2014 |
| An Analog Online Clustering Circuit in 130nm CMOS J Lu, S Young, I Arel, J Holleman Solid-State Circuits Conference (A-SSCC), 2013 IEEE Asian, 177-180, 2013 | 15 | 2013 |
| 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 | 13 | 2020 |
| 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 | 12 | 2019 |
Robert M. PattonOak Ridge National LaboratoryVerified email at ornl.gov
