13 citations · 29 across the 4 of their papers we have counts for
4 papers
TDPP: Two-Dimensional Permutation-Based Protection of Memristive Deep Neural Networks
Minhui Zou, Zhenhua Zhu, Tzofnat Greenberg-Toledo +6
The execution of deep neural network (DNN) algorithms suffers from significant bottlenecks due to the separation of the processing and memory units in traditional computer systems.…
Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices
Wei Wang, Barak Hoffer, Tzofnat Greenberg-Toledo +8
The tunability of conductance states of various emerging non-volatile memristive devices emulates the plasticity of biological synapses, making it promising in the hardware realiza…
Physical based compact model of Y-Flash memristor for neuromorphic computation
Wei Wang, Loai Danial, Eric Herbelin +6
Y-Flash memristors utilize the mature technology of single polysilicon floating gate non-volatile memories (NVM). It can be operated in a two-terminal configuration similar to the…
Training of Quantized Deep Neural Networks using a Magnetic Tunnel Junction-Based Synapse
Tzofnat Greenberg Toledo, Ben Perach, Itay Hubara +2
Quantized neural networks (QNNs) are being actively researched as a solution for the computational complexity and memory intensity of deep neural networks. This has sparked efforts…