| 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 | 744 | 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 | 444 | 2015 |
| A study of complex deep learning networks on high-performance, neuromorphic, and quantum computers TE Potok, C Schuman, S Young, R Patton, F Spedalieri, J Liu, KT Yao, ... ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (2), 1-21, 2018 | 87 | 2018 |
| Efficiently embedding QUBO problems on adiabatic quantum computers P Date, R Patton, C Schuman, T Potok Quantum Information Processing 18, 1-31, 2019 | 63 | 2019 |
| Evolutionary optimization for neuromorphic systems CD Schuman, JP Mitchell, RM Patton, TE Potok, JS Plank Proceedings of the Neuro-inspired Computational Elements Workshop, 1-9, 2020 | 51 | 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 | 50 | 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, 667, 2020 | 40 | 2020 |
| 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 | 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 | 33 | 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 | 29 | 2018 |
| A genetic algorithm approach to focused software usage testing RM Patton, AS Wu, GH Walton Software engineering with computational intelligence, 259-286, 2003 | 27 | 2003 |
| Caspian: A neuromorphic development platform JP Mitchell, CD Schuman, RM Patton, TE Potok Proceedings of the Neuro-inspired Computational Elements Workshop, 1-6, 2020 | 25 | 2020 |
| 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 | 25 | 2018 |
| Interactive visual analytics for situational awareness of social media CA Steed, RM Patton, PL Bogen, TE Potok, CT Symons US Patent App. 14/476,252, 2015 | 25 | 2015 |
| CLOUD COMPUTING METHOD FOR DYNAMICALLY SCALING A PROCESS ACROSS PHYSICAL MACHINE BOUNDARIES RE Gillen, RM Patton, TE Potok, CC Rojas US Patent 20,120,303,670, 2012 | 24 | 2012 |
| 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 |
| Flocking-based document clustering on the graphics processing unit JS Charles, TE Potok, R Patton, X Cui Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 27-37, 2008 | 23 | 2008 |
| Usage testing of military simulation systems GH Walton, RM Patton, DJ Parsons Simulation Conference, 2001. Proceedings of the Winter 1, 771-779 vol. 1, 2001 | 21 | 2001 |
| 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 | 19 | 2020 |
| 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 | 18 | 2017 |
Thomas E. PotokComputational Data Analytics Group Leader, Oak Ridge National LaboratoryVerified email at ornl.gov
