activity
20122022
most citedLearning in Memristive Neural Network Architectures using Analog Backpropagation Circuits

168 citations · 332 across the 14 of their papers we have counts for

collaborators

14 papers

cs.ET2022

Towards Efficient RRAM-based Quantized Neural Networks Hardware: State-of-the-art and Open Issues

O. Krestinskaya, L. Zhang, K. N. Salama

The increasing amount of data processed on edge and the demand for reducing the energy consumption for large neural network architectures have initiated the transition from traditi…

eess.IV2022★ 1 cited

Analog Image Denoising with an Adaptive Memristive Crossbar Network

O. Krestinskaya, K. N. Salama, A. P. James

Noise in image sensors led to the development of a whole range of denoising filters. A noisy image can become hard to recognize and often require several types of post-processing c…

cs.LG2022★ 1 cited

BackLink: Supervised Local Training with Backward Links

Wenzhe Guo, Mohammed E Fouda, Ahmed M. Eltawil +1

Empowered by the backpropagation (BP) algorithm, deep neural networks have dominated the race in solving various cognitive tasks. The restricted training pattern in the standard BP…

cond-mat.mes-hall2022★ 73 cited

Experimental identification of the second-order non-Hermitian skin effect with physics-graph-informed machine learning

Ce Shang, Shuo Liu, Ruiwen Shao +11

Topological phases of matter are conventionally characterized by the bulk-boundary correspondence in Hermitian systems: The topological invariant of the bulk in dimensions corr…

cs.NE2021★ 1 cited

Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time

Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil +1

Directly training spiking neural networks (SNNs) has remained challenging due to complex neural dynamics and intrinsic non-differentiability in firing functions. The well-known bac…

cs.AR2021

Resistive Neural Hardware Accelerators

Kamilya Smagulova, Mohammed E. Fouda, Fadi Kurdahi +2

Deep Neural Networks (DNNs), as a subset of Machine Learning (ML) techniques, entail that real-world data can be learned and that decisions can be made in real-time. However, their…

eess.SP2019★ 1 cited

Towards Self-Powered Internet of Underwater Things Devices

Jose Ilton de Oliveira Filho, Abderrahmen Trichili, Boon S. Ooi +2

Exploiting light beams to carry information and deliver power is mooted as a potential technology to recharge batteries of future generation Internet of things (IoT) and Internet o…

physics.class-ph2019★ 9 cited

Scattering theory and cancellation of gravity-flexural waves of floating plates

Mohamed Farhat, Pai-Yen Chen, Hakan Bagci +2

We combine theories of scattering for linearized water waves and flexural waves in thin plates to characterize and achieve control of water wave scattering using floating plates. T…

physics.optics2018★ 48 cited

Scattering Cancellation based Cloaking for the Maxwell-Cattaneo Heat Waves

M. Farhat, S. Guenneau, P. -Y. Chen +2

In this work we theoretically propose scattering cancellation-based cloaks for heat waves that obey the Maxwell-Cattaneo equation. The proposed cloaks possess carefully tailored di…

cs.ET2018★ 168 cited

Learning in Memristive Neural Network Architectures using Analog Backpropagation Circuits

Olga Krestinskaya, Khaled Nabil Salama, Alex Pappachen James

The on-chip implementation of learning algorithms would speed-up the training of neural networks in crossbar arrays. The circuit level design and implementation of backpropagation…

cs.ET2018

Memristor-based Synaptic Sampling Machines

Irina Dolzhikova, Khaled Salama, Vipin Kizheppatt +1

Synaptic Sampling Machine (SSM) is a type of neural network model that considers biological unreliability of the synapses. We propose the circuit design of the SSM neural network w…

physics.class-ph2016★ 13 cited

Flexural Mie Resonances: Localized Surface Platonic Modes

M. Farhat, S. Guenneau, P. Y. Chen +2

Surface plasmons polaritons were thought to exist only in metals near their plasma frequencies. The concept of spoof plasmons extended the realms of plasmonics to domains such as r…

physics.optics2016★ 13 cited

Theory of diffusive light scattering cancellation cloaking

Mohamed Farhat, Pai-Yen Chen, Sebastien Guenneau +3

We report on a new concept of cloaking objects in diffusive light regime using the paradigm of the scattering cancellation and mantle cloaking techniques. We show numerically that…

cs.ET2012★ 4 cited

Memristor-based mono-stable oscillator

A. T. Bahgat, K. N. Salama

In this letter, a reactance-less mono-stable oscillator is introduced for the first time using memristors. By replacing bulky inductors and capacitors with memristors, the novel mo…