26 citations · 34 across the 11 of their papers we have counts for
4 papers · 1 filter
A Principled Bayesian Framework for Training Binary and Spiking Neural Networks
James A. Walker, Moein Khajehnejad, Adeel Razi
We propose a Bayesian framework for training binary and spiking neural networks that achieves state-of-the-art performance without normalisation layers. Unlike commonly used surrog…
CrossWalk: Fairness-enhanced Node Representation Learning
Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei +3
The potential for machine learning systems to amplify social inequities and unfairness is receiving increasing popular and academic attention. Much recent work has focused on devel…
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei +3
Influence maximization is a widely studied topic in network science, where the aim is to reach the maximum possible number of nodes, while only targeting a small initial set of ind…
Optimal Decision Making Under Strategic Behavior
Stratis Tsirtsis, Behzad Tabibian, Moein Khajehnejad +3
We are witnessing an increasing use of data-driven predictive models to inform decisions. As decisions have implications for individuals and society, there is increasing pressure o…