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Moein Khajehnejad

2 accepted papers

2022

Neural Network Poisson Models for Behavioural and Neural Spike Train Data

ICML 2022spotlight

One of the most important and challenging application areas for complex machine learning methods is to predict, characterize and model rich, multi-dimensional, neural data. Recent advances in neural recording techniques have made it possible to monitor the activity of a large number of neurons acros…

2020

Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks

IJCAI 2020poster

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 individuals. It has critical applications in many fields, including viral marketing, information propagation, news dissemin…