30 citations · 32 across the 6 of their papers we have counts for
25 papers
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…
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…
AM-DCGAN: Analog Memristive Hardware Accelerator for Deep Convolutional Generative Adversarial Networks
Olga Krestinskaya, Bhaskar Choubey, Alex Pappachen James
Generative Adversarial Network (GAN) is a well known computationally complex algorithm requiring signficiant computational resources in software implementations including large amo…
Variation-aware Binarized Memristive Networks
Corey Lammie, Olga Krestinskaya, Alex James +1
The quantization of weights to binary states in Deep Neural Networks (DNNs) can replace resource-hungry multiply accumulate operations with simple accumulations. Such Binarized Neu…
Wafer Quality Inspection using Memristive LSTM, ANN, DNN and HTM
Kazybek Adam, Kamilya Smagulova, Olga Krestinskaya +1
The automated wafer inspection and quality control is a complex and time-consuming task, which can speed up using neuromorphic memristive architectures, as a separate inspection de…
Programmable Memristive Threshold Logic Gate Array
Olga Krestinskaya, Akshay Kumar Maan, Alex Pappachen James
This paper proposes the implementation of programmable threshold logic gate (TLG) crossbar array based on modified TLG cells for high speed processing and computation. The proposed…