| A survey of neuromorphic computing and neural networks in hardware CD Schuman, TE Potok, RM Patton, JD Birdwell, ME Dean, GS Rose, ... arXiv preprint arXiv:1705.06963, 2017 | 900 | 2017 |
| 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 | 508 | 2015 |
| Evolutionary optimization for neuromorphic systems CD Schuman, JP Mitchell, RM Patton, TE Potok, JS Plank Proceedings of the 2020 Annual Neuro-Inspired Computational Elements …, 2020 | 72 | 2020 |
| Evolving deep networks using hpc SR Young, DC Rose, T Johnston, WT Heller, TP Karnowski, TE Potok, ... Proceedings of the Machine Learning on HPC Environments, 1-7, 2017 | 54 | 2017 |
| Bayesian multi-objective hyperparameter optimization for accurate, fast, and efficient neural network accelerator design M Parsa, JP Mitchell, CD Schuman, RM Patton, TE Potok, K Roy Frontiers in neuroscience 14, 527249, 2020 | 52 | 2020 |
| 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 | 40 | 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, ... SC18: International Conference for High Performance Computing, Networking …, 2018 | 37 | 2018 |
| Caspian: A neuromorphic development platform JP Mitchell, CD Schuman, RM Patton, TE Potok Proceedings of the 2020 Annual Neuro-Inspired Computational Elements …, 2020 | 35 | 2020 |
| A genetic algorithm approach to focused software usage testing RM Patton, AS Wu, GH Walton Software engineering with computational intelligence, 259-286, 2003 | 28 | 2003 |
| Resilience and robustness of spiking neural networks for neuromorphic systems CD Schuman, JP Mitchell, JT Johnston, M Parsa, B Kay, P Date, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020 | 24 | 2020 |
| A multi-agent system for distributed cluster analysis JW Reed, TE Potok, RM Patton Proceedings of Third International Workshop on Software Engineering for …, 2004 | 24 | 2004 |
| Optimizing convolutional neural networks for cloud detection T Johnston, SR Young, D Hughes, RM Patton, D White Proceedings of the machine learning on HPC environments, 1-9, 2017 | 23 | 2017 |
| Usage testing of military simulation systems GH Walton, RM Patton, DJ Parsons Proceeding of the 2001 Winter Simulation Conference (Cat. No. 01CH37304) 1 …, 2001 | 21 | 2001 |
| Neuromorphic computing for autonomous racing R Patton, C Schuman, S Kulkarni, M Parsa, JP Mitchell, NQ Haas, C Stahl, ... International conference on neuromorphic systems 2021, 1-5, 2021 | 18 | 2021 |
| An analysis of image storage systems for scalable training of deep neural networks SH Lim, SR Young, RM Patton system 5 (7), 11, 2016 | 18 | 2016 |
| Bayesian-based hyperparameter optimization for spiking neuromorphic systems M Parsa, JP Mitchell, CD Schuman, RM Patton, TE Potok, K Roy 2019 IEEE International Conference on Big Data (Big Data), 4472-4478, 2019 | 17 | 2019 |
| 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 | 17 | 2019 |
| 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 | 17 | 2017 |
| Measuring scientific impact beyond citation counts RM Patton, CG Stahl, JC Wells D-Lib Magazine 22 (9/10), 5, 2016 | 17 | 2016 |
| 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 | 16 | 2018 |
Thomas E. PotokComputational Data Analytics Group Leader, Oak Ridge National LaboratoryVerified email at ornl.gov
