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- Publications
- Influence

Solving sparse linear systems of equations over finite fields using bit-flipping algorithm

- A. A. Mofrad, M. Sadeghi, D. Panario
- Mathematics
- 1 October 2013

Let Fq be the finite field with q elements. We give an algorithm for solving sparse linear systems of equations over Fq when the coefficient matrix of the system has a specific structure, here called… Expand

On solving the SPL problem using the concept of probability flux

- A. A. Mofrad, A. Yazidi, H. Hammer
- Computer Science
- Applied Intelligence
- 2 February 2019

The Stochastic Point Location (SPL) problem Oommen is a fundamental learning problem that has recently found a lot of research attention. SPL can be summarized as searching for an unknown point in an… Expand

Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes

- A. A. Mofrad, A. Yazidi, H. Hammer, E. Arntzen
- Computer Science, Mathematics
- Neural Computation
- 18 March 2020

Stimulus equivalence (SE) and projective simulation (PS) study complex behavior, the former in human subjects and the latter in artificial agents. We apply the PS learning framework for modeling the… Expand

Neural network associative memories with local coding

- A. A. Mofrad, Zahra Ferdosi, Matthew G. Parker, M. H. Tadayon
- Computer Science
- IEEE 14th Canadian Workshop on Information Theory…
- 6 July 2015

In this paper the approach is to embed coding techniques into neural networks in order to increase their performance as associative memories in the presence of partial erasures. The motivation comes… Expand

Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation

- A. A. Mofrad, A. Yazidi, H. Hammer
- Computer Science
- RACS
- 20 September 2017

The Stochastic Point Location (SPL) problem introduced by Oommen [7] can be summarized as searching for an unknown point in the interval under a possibly faulty feedback. The search is performed via… Expand

Nested-Clique Network Model of Neural Associative Memory

- A. A. Mofrad, Matthew G. Parker
- Medicine, Computer Science
- Neural Computation
- 1 June 2017

Clique-based neural associative memories introduced by Gripon and Berrou (GB), have been shown to have good performance, and in our previous work we improved the learning capacity and retrieval rate… Expand

Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution

- E. A. Hansen, S. Nichele, A. Yazidi, H. Haugerud, A. A. Mofrad, A. Alcocer
- Computer Science
- IEEE Symposium Series on Computational…
- 12 July 2018

Abruptions to the communication infrastructure might occur occasionally, where manual intervention by dedicated personnel is needed to fix the interruptions, restoring communication abilities.… Expand

Clique-Based Neural Associative Memories with Local Coding and Precoding

- A. A. Mofrad, Matthew G. Parker, Zahra Ferdosi, M. H. Tadayon
- Medicine, Computer Science
- Neural Computation
- 1 August 2016

Techniques from coding theory are able to improve the efficiency of neuroinspired and neural associative memories by forcing some construction and constraints on the network. In this letter, the… Expand

On the Burst Erasure Efficiency of Array LDPC Codes

- M. H. Tadayon, A. A. Mofrad, Zahra Ferdosi
- Computer Science
- Wirel. Pers. Commun.
- 1 July 2015

In this paper a family of LDPC codes based on the shortened and superposed array LDPC codes is proposed for burst erasure channels. The design of constructions is based on identifying and analyzing… Expand