Tzofnat Greenberg-Toledo

According to our database, Tzofnat Greenberg-Toledo authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TDPP: 2-D Permutation-Based Protection of Memristive Deep Neural Networks.

Minhui Zou, Zhenhua Zhu, Tzofnat Greenberg-Toledo, Orian Leitersdorf, Jiang Li, Junlong Zhou, Yu Wang, Nan Du, Shahar Kvatinsky

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

2023

TDPP: Two-Dimensional Permutation-Based Protection of Memristive Deep Neural Networks.

Minhui Zou, Zhenhua Zhu, Tzofnat Greenberg-Toledo, Orian Leitersdorf, Jiang Li, Junlong Zhou, Yu Wang, Nan Du, Shahar Kvatinsky

CoRR, 2023

2022

Physical based compact model of Y-Flash memristor for neuromorphic computation.

Wei Wang, Loai Danial, Eric Herbelin, Barak Hoffer, Batel Oved, Tzofnat Greenberg-Toledo, Evgeny Pikhay, Yakov Roizin, Shahar Kvatinsky

CoRR, 2022

Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices.

Wei Wang, Barak Hoffer, Tzofnat Greenberg-Toledo, Yang Li, Minhui Zou, Eric Herbelin, Ronny Ronen, Xiaoxin Xu, Yulin Zhao, Jianguo Yang, Shahar Kvatinsky

Adv. Intell. Syst., 2022

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

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

MTJ-Based Hardware Synapse Design for Quantized Deep Neural Networks.

Tzofnat Greenberg-Toledo, Ben Perach, Daniel Soudry, Shahar Kvatinsky

CoRR, 2019