MTJ-Based Hardware Synapse Design for Quantized Deep Neural Networks. - Tzofnat Greenberg-Toledo; Ben Perach; Daniel Soudry; Shahar Kvatinsky (CoRR, 2019)

A Robust Digital RRAM-Based Convolutional Block for Low-Power Image Processing and Learning Applications. - Edouard Giacomin; Tzofnat Greenberg-Toledo; Shahar Kvatinsky; Pierre-Emmanuel Gaillardon (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Supporting the Momentum Training Algorithm Using a Memristor-Based Synapse. - Tzofnat Greenberg-Toledo; Roee Mazor; Ameer Haj Ali; Shahar Kvatinsky (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices. - Wei Wang 209; Barak Hoffer; Tzofnat Greenberg-Toledo; Yang Li 203; Minhui Zou; Eric Herbelin; Ronny Ronen; Xiaoxin Xu; Yulin Zhao; Jianguo Yang; Shahar Kvatinsky (Adv. Intell. Syst., 2022)

Physical based compact model of Y-Flash memristor for neuromorphic computation. - Wei Wang 209; Loai Danial; Eric Herbelin; Barak Hoffer; Batel Oved; Tzofnat Greenberg-Toledo; Evgeny Pikhay; Yakov Roizin; Shahar Kvatinsky (CoRR, 2022)

TDPP: Two-Dimensional Permutation-Based Protection of Memristive Deep Neural Networks. - Minhui Zou; Zhenhua Zhu; Tzofnat Greenberg-Toledo; Orian Leitersdorf; Jiang Li 012; Junlong Zhou; Yu Wang 002; Nan Du 004; Shahar Kvatinsky (CoRR, 2023)

TDPP: 2-D Permutation-Based Protection of Memristive Deep Neural Networks. - Minhui Zou; Zhenhua Zhu; Tzofnat Greenberg-Toledo; Orian Leitersdorf; Jiang Li 012; Junlong Zhou; Yu Wang 002; Nan Du 004; Shahar Kvatinsky (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)