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Potok, Thomas E.
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1

Proceedings of the International Conference on Neuromorphic..:

Potok, Thomas E. ; Schuman, Catherine ; Payvand, Melika... , 2022
Link: https://dl.acm.org/doi/1..
 
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Smoky Mountain Data Challenge 2021: An Open Call to Solve S..:

, In: Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation; Communications in Computer and Information Science,
Devineni, Pravallika ; Ganesh, Panchapakesan ; Sivadas, Nikhil... - p. 361-382 , 2022
Link: https://doi.org/10.1007/..
 
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Neuromorphic Computing for Scientific Applications:

, In: 2022 IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop (RSDHA),
Patton, Robert ; Date, Prasanna ; Kulkarni, Shruti... - p. 22-28 , 2022
Link: https://doi.org/10.1109/..
 
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4

International Conference on Neuromorphic Systems 2021:

Potok, Thomas E. ; Payvand, Melika ; Schuman, Catherine... , 2021
Link: https://dl.acm.org/doi/1..
 
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5

Caspian : A Neuromorphic Development Platform:

, In: Proceedings of the Neuro-inspired Computational Elements Workshop,
Mitchell, J. Parker ; Schuman, Catherine D. ; Patton, Robert M.. - p. 1-6 , 2020
Link: https://dl.acm.org/doi/1..
 
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6

Automated Design of Neuromorphic Networks for Scientific Ap..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Schuman, Catherine D. ; Parker Mitchell, J. ; Parsa, Maryam... - p. 1-7 , 2020
Link: https://doi.org/10.1109/..
 
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7

Bayesian Multi-objective Hyperparameter Optimization for Ac..:

Parsa, Maryam ; Mitchell, John P. ; Schuman, Catherine D....
Frontiers in Neuroscience.  14 (2020)  - p. , 2020
Link: https://doi.org/10.3389/..
 
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8

A Small, Low Cost Event-Driven Architecture for Spiking Neu..:

, In: International Conference on Neuromorphic Systems 2020,
Mitchell, J. Parker ; Schuman, Catherine D. ; Potok, Thomas E. - p. 1-4 , 2020
Link: https://dl.acm.org/doi/1..
 
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9

Hyperparameter Optimization in Binary Communication Network..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Parsa, Maryam ; Schuman, Catherine D. ; Date, Prasanna... - p. 1-9 , 2020
Link: https://doi.org/10.1109/..
 
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10

Ensembles of Networks Produced from Neural Architecture Sea..:

, In: Lecture Notes in Computer Science; High Performance Computing,
Herron, Emily J. ; Young, Steven R. ; Potok, Thomas E. - p. 223-234 , 2020
Link: https://doi.org/10.1007/..
 
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11

Evolutionary Optimization for Neuromorphic Systems:

, In: Proceedings of the Neuro-inspired Computational Elements Workshop,
Schuman, Catherine D. ; Mitchell, J. Parker ; Patton, Robert M... - p. 1-9 , 2020
Link: https://dl.acm.org/doi/1..
 
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12

Multi-Objective Optimization for Size and Resilience of Spi..:

, In: 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON),
Dimovska, Mihaela ; Johnston, Travis ; Schuman, Catherine D... - p. 0433-0439 , 2019
Link: https://doi.org/10.1109/..
 
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13

Island model for parallel evolutionary optimization of spik..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Schuman, Catherine D. ; Plank, James S. ; Patton, Robert M.. - p. 306-307 , 2019
Link: https://dl.acm.org/doi/1..
 
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14

Bayesian-based Hyperparameter Optimization for Spiking Neur..:

, In: 2019 IEEE International Conference on Big Data (Big Data),
Parsa, Maryam ; Mitchell, J. Parker ; Schuman, Catherine D.... - p. 4472-4478 , 2019
Link: https://doi.org/10.1109/..
 
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15

Evolving Energy Efficient Convolutional Neural Networks:

, In: 2019 IEEE International Conference on Big Data (Big Data),
Young, Steven R. ; Devineni, Pravallika ; Parsa, Maryam... - p. 4479-4485 , 2019
Link: https://doi.org/10.1109/..
 
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