Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response. - Severin Sidler; Irem Boybat; Robert M. Shelby; Pritish Narayanan; Jun-Woo Jang; Alessandro Fumarola; Kibong Moon; Yusuf Leblebici; Hyunsang Hwang; Geoffrey W. Burr (ESSDERC, 2016)

Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs. - Alessandro Fumarola; Pritish Narayanan; Lucas L. Sanches; Severin Sidler; Jun-Woo Jang; Kibong Moon; Robert M. Shelby; Hyunsang Hwang; Geoffrey W. Burr (ICRC, 2016)

Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns. - Severin Sidler; Angeliki Pantazi; Stanislaw Wozniak; Yusuf Leblebici; Evangelos Eleftheriou (ICANN (1), 2017)

Improved Deep Neural Network Hardware-Accelerators Based on Non-Volatile-Memory: The Local Gains Technique. - Irem Boybat; Carmelo di Nolfo; Stefano Ambrogio; Martina Bodini; Nathan C. P. Farinha; Robert M. Shelby; Pritish Narayanan; Severin Sidler; Hsinyu Tsai; Yusuf Leblebici; Geoffrey W. Burr (ICRC, 2017)

Neuromorphic Architecture With 1M Memristive Synapses for Detection of Weakly Correlated Inputs. - Stanislaw Wozniak; Angeliki Pantazi; Severin Sidler; Nikolaos Papandreou; Yusuf Leblebici; Evangelos Eleftheriou (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

Equivalent-accuracy accelerated neural-network training using analogue memory. - Stefano Ambrogio; Pritish Narayanan; Hsinyu Tsai; Robert M. Shelby; Irem Boybat; Carmelo di Nolfo; Severin Sidler; Massimo Giordano; Martina Bodini; Nathan C. P. Farinha; Benjamin Killeen; Christina Cheng; et al. (Nat., 2018)

Non-filamentary non-volatile memory elements as synapses in neuromorphic systems. - Alessandro Fumarola; Yusuf Leblebici; Pritish Narayanan; Robert M. Shelby; L. L. Sanchez; Geoffrey W. Burr; Kibong Moon; J. Jang; Hyunsang Hwang; Severin Sidler (NVMTS, 2019)