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ORCIDTzofnat Greenberg-Toledo
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2020 – today
- 2024
[j4]Minhui Zou
, Zhenhua Zhu, Tzofnat Greenberg-Toledo, Orian Leitersdorf, Jiang Li, Junlong Zhou, Yu Wang, Nan Du, Shahar Kvatinsky:
TDPP: 2-D Permutation-Based Protection of Memristive Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(3): 742-755 (2024)- 2023
- [i4]Minhui Zou, Zhenhua Zhu, Tzofnat Greenberg-Toledo, Orian Leitersdorf, Jiang Li, Junlong Zhou, Yu Wang, Nan Du, Shahar Kvatinsky:
TDPP: Two-Dimensional Permutation-Based Protection of Memristive Deep Neural Networks. CoRR abs/2310.06989 (2023) - 2022
- [j3]Wei Wang, Barak Hoffer, Tzofnat Greenberg-Toledo, Yang Li, Minhui Zou, Eric Herbelin, Ronny Ronen, Xiaoxin Xu, Yulin Zhao, Jianguo Yang, Shahar Kvatinsky:
Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices. Adv. Intell. Syst. 4(5) (2022) - [i3]Wei Wang, Loai Danial, Eric Herbelin, Barak Hoffer, Batel Oved, Tzofnat Greenberg-Toledo, Evgeny Pikhay, Yakov Roizin, Shahar Kvatinsky:
Physical based compact model of Y-Flash memristor for neuromorphic computation. CoRR abs/2202.10228 (2022) - [i2]Wei Wang, Barak Hoffer, Tzofnat Greenberg-Toledo, Yang Li, Minhui Zou, Eric Herbelin, Ronny Ronen, Xiaoxin Xu, Yulin Zhao, Jianguo Yang, Shahar Kvatinsky:
Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices. CoRR abs/2203.07884 (2022)
2010 – 2019
- 2019
- [j2]Edouard Giacomin, Tzofnat Greenberg-Toledo, Shahar Kvatinsky, Pierre-Emmanuel Gaillardon:
A Robust Digital RRAM-Based Convolutional Block for Low-Power Image Processing and Learning Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(2): 643-654 (2019) - [j1]Tzofnat Greenberg-Toledo, Roee Mazor, Ameer Haj Ali, Shahar Kvatinsky:
Supporting the Momentum Training Algorithm Using a Memristor-Based Synapse. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(4): 1571-1583 (2019) - [i1]Tzofnat Greenberg-Toledo, Ben Perach, Daniel Soudry, Shahar Kvatinsky:
MTJ-Based Hardware Synapse Design for Quantized Deep Neural Networks. CoRR abs/1912.12636 (2019)
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