Robert M. Patton
Title
Cited by
Cited by
Year
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
3342017
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
2262015
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
502018
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
332017
A genetic algorithm approach to focused software usage testing
RM Patton, AS Wu, GH Walton
Software engineering with computational intelligence, 259-286, 2003
252003
A multi-agent system for distributed cluster analysis
JW Reed, TE Potok, RM Patton
Proceedings of Third International Workshop on Software Engineering for …, 2004
232004
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
222008
Efficiently embedding QUBO problems on adiabatic quantum computers
P Date, R Patton, C Schuman, T Potok
Quantum Information Processing 18 (4), 1-31, 2019
212019
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
212012
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
202001
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
192018
A survey of neuromorphic computing and neural networks in hardware. arXiv 2017
CD Schuman, TE Potok, RM Patton, JD Birdwell, ME Dean, GS Rose, ...
arXiv preprint arXiv:1705.06963, 0
15
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
142018
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
142018
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
132017
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
132015
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
112018
Measuring scientific impact beyond citation counts
RM Patton, CG Stahl, JC Wells
D-Lib Magazine 22 (9/10), 5, 2016
112016
An analysis of image storage systems for scalable training of deep neural networks
SH Lim, SR Young, RM Patton
system 5 (7), 11, 2016
112016
Discovery & Refinement of Scientific Information via a Recommender System
R Patton, T Potok, B Worley
INFOCOMP 2012, The Second International Conference on Advanced …, 2012
102012
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Articles 1–20