| Opportunities for neuromorphic computing algorithms and applications CD Schuman, SR Kulkarni, M Parsa, JP Mitchell, B Kay Nature Computational Science 2 (1), 10-19, 2022 | 400 | 2022 |
| Probabilistic deep spiking neural systems enabled by magnetic tunnel junction A Sengupta, M Parsa, B Han, K Roy IEEE Transactions on Electron Devices 63 (7), 2963-2970, 2016 | 122 | 2016 |
| Full-field thermal imaging of quasiballistic crosstalk reduction in nanoscale devices A Ziabari, P Torres, B Vermeersch, Y Xuan, X Cartoixà, A Torelló, JH Bahk, ... Nature communications 9 (1), 255, 2018 | 86 | 2018 |
| 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 | 51 | 2020 |
| Pabo: Pseudo agent-based multi-objective bayesian hyperparameter optimization for efficient neural accelerator design M Parsa, A Ankit, A Ziabari, K Roy IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019 | 29 | 2019 |
| A review of non-cognitive applications for neuromorphic computing JB Aimone, P Date, GA Fonseca-Guerra, KE Hamilton, K Henke, B Kay, ... Neuromorphic Computing and Engineering 2 (3), 032003, 2022 | 27 | 2022 |
| 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 |
| Staged inference using conditional deep learning for energy efficient real-time smart diagnosis M Parsa, P Panda, S Sen, K Roy 2017 39th annual international conference of the IEEE engineering in …, 2017 | 23 | 2017 |
| Benchmarking the performance of neuromorphic and spiking neural network simulators SR Kulkarni, M Parsa, JP Mitchell, CD Schuman Neurocomputing 447, 145-160, 2021 | 21 | 2021 |
| 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 | 17 | 2021 |
| 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 |
| Evolving energy efficient convolutional neural networks SR Young, P Devineni, M Parsa, JT Johnston, B Kay, RM Patton, ... 2019 IEEE International Conference on Big Data (Big Data), 4479-4485, 2019 | 14 | 2019 |
| Far-field thermal imaging below diffraction limit A Ziabari, M Parsa, Y Xuan, JH Bahk, K Yazawa, FX Alvarez, A Shakouri Optics express 28 (5), 7036-7050, 2020 | 13 | 2020 |
| Evolutionary vs imitation learning for neuromorphic control at the edge C Schuman, R Patton, S Kulkarni, M Parsa, C Stahl, NQ Haas, JP Mitchell, ... Neuromorphic Computing and Engineering 2 (1), 014002, 2022 | 11 | 2022 |
| A software framework for comparing training approaches for spiking neuromorphic systems CD Schuman, JS Plank, M Parsa, SR Kulkarni, N Skuda, JP Mitchell 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021 | 9 | 2021 |
| Semi-supervised graph structure learning on neuromorphic computers G Cong, SH Lim, S Kulkarni, P Date, T Potok, S Snyder, M Parsa, ... Proceedings of the International Conference on Neuromorphic Systems 2022, 1-4, 2022 | 7 | 2022 |
| Accurate and accelerated neuromorphic network design leveraging a Bayesian hyperparameter pareto optimization approach M Parsa, C Schuman, N Rathi, A Ziabari, D Rose, JP Mitchell, ... International Conference on Neuromorphic Systems 2021, 1-8, 2021 | 6 | 2021 |
| Multi-objective hyperparameter optimization for spiking neural network neuroevolution M Parsa, SR Kulkarni, M Coletti, J Bassett, JP Mitchell, CD Schuman 2021 IEEE Congress on Evolutionary Computation (CEC), 1225-1232, 2021 | 6 | 2021 |
| Design and fabrication of a smart electronic guide for museums M Rostamian, M Parsa, V Groza 2012 7th IEEE International Symposium on Applied Computational Intelligence …, 2012 | 6 | 2012 |
| Avoiding excess computation in asynchronous evolutionary algorithms EO Scott, M Coletti, CD Schuman, B Kay, SR Kulkarni, M Parsa, ... Expert Systems 40 (5), e13100, 2023 | 5 | 2023 |
Catherine SchumanUniversity of TennesseeVerified email at utk.edu
