Pritish Narayanan

Equivalent-accuracy accelerated neural-network training using analogue memory

Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai et al. · Nature · 2018 · 1.1K citations · Full text

Computing, Computer Science, Analog Electronics +8

Deep Learning with Limited Numerical Precision

Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan et al. · arXiv (Cornell University) · 2015 · 1.1K citations · Full text

Computing, Computer Engineering, Computer Science +17

Neuromorphic computing using non-volatile memory

Geoffrey W. Burr, R. M. Shelby, Abu Sebastian et al. · Advances in Physics X · 2016 · 1.1K citations · Full text

Life Sciences, Computer Engineering, Computer Systems +17

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

Geoffrey W. Burr, R. M. Shelby, Severin Sidler et al. · IEEE Transactions on Electron Devices · 2015 · 923 citations · Full text

Computing, Computer Systems, Machine Learning +16

Deep Learning with Limited Numerical Precision

Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan et al. · 2015 · 774 citations

Computing, Computer Engineering, Computer Science +17