Cite
NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars.
MLA
Bhattacharjee, Abhiroop, et al. “NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars.” IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems, vol. 41, no. 8, Aug. 2022, pp. 2625–37. EBSCOhost, https://doi.org/10.1109/TCAD.2021.3109857.
APA
Bhattacharjee, A., Bhatnagar, L., Kim, Y., & Panda, P. (2022). NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars. IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems, 41(8), 2625–2637. https://doi.org/10.1109/TCAD.2021.3109857
Chicago
Bhattacharjee, Abhiroop, Lakshya Bhatnagar, Youngeun Kim, and Priyadarshini Panda. 2022. “NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars.” IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems 41 (8): 2625–37. doi:10.1109/TCAD.2021.3109857.