Sidler, Severin

Equivalent-accuracy accelerated neural-network training using analogue memory

Ambrogio, S., Narayanan, P., Tsai, H., Shelby, R. M., Boybat, I., di Nolfo, C., Sidler, S., Giordano, M., Bodini, M., Farinha, N. C. P., et al. (2018) · Nature

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 1,151

Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

Burr, G. W., Shelby, R. M., Sidler, S., di Nolfo, C., Jang, J., Boybat, I., Shenoy, R. S., Narayanan, P., Virwani, K., Giacometti, E. U., et al. (2015) · IEEE Transactions on Electron Devices

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 936

Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response

Sidler, S., Boybat, I., Shelby, R. M., Narayanan, P., Jang, J., Fumarola, A., Moon, K., Leblebici, Y., Hwang, H., & Burr, G. W. (2016) · 2016 46th European Solid-State Device Research Conference (ESSDERC)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 47

Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs

Fumarola, A., Narayanan, P., Sanches, L. L., Sidler, S., Jang, J., Moon, K., Shelby, R. M., Hwang, H., & Burr, G. W. (2016) · 2016 IEEE International Conference on Rebooting Computing (ICRC)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 37