6 papers
Adversarial Jamming for Autoencoder Distribution Matching
Waleed El-Geresy, Deniz Gündüz
We propose the use of adversarial wireless jamming to regularise the latent space of an autoencoder to match a diagonal Gaussian distribution. We consider the minimisation of a mea…
Event-Based Simulation of Stochastic Memristive Devices for Neuromorphic Computing
Waleed El-Geresy, Christos Papavassiliou, Deniz Gündüz
In this paper, we build a general modelling framework for memristors, suitable for the simulation of event-based systems such as hardware spiking neural networks, and more generall…
Energy-Information Trade-Off in Self-Directed Channel Memristors
Waleed El-Geresy, Dániel Hajtó, György Cserey +1
Understanding the nature of information storage on memristors is vital to enable their use in novel data storage and neuromorphic applications. One key consideration in information…
State Characterisation of Self-Directed Channel Memristive Devices
Dániel Hajtó, Waleed El-Geresy, Deniz Gündüz +1
Knowing how to reliably use memristors as information storage devices is crucial not only to their role as emerging memories, but also for their application in neural network accel…
Energy-Constrained Information Storage on Memristive Devices in the Presence of Resistive Drift
Waleed El-Geresy, Christos Papavassiliou, Deniz Gündüz
In this paper, we examine the problem of information storage on memristors affected by resistive drift noise under energy constraints. We introduce a novel, fundamental trade-off b…
Delay Conditioned Generative Modelling of Resistive Drift in Memristors
Waleed El-Geresy, Christos Papavassiliou, Deniz Gündüz
The modelling of memristive devices is an essential part of the development of novel in-memory computing systems. Models are needed to enable the accurate and efficient simulation…