Videos

This lecture explores the general problem of explaining the behavior of Artificial Neural Networks (ANN). The goal is to construct a representation which enhances human [...]

In this talk we will discuss optimal control subject to changing conditions (a changing environment). This is an area that recently received a lot of [...]

In this talk we will define notions of dimension on unimodular random graphs. The key point in this definition is unimodularity which is used indispensably [...]

Internet interconnections are the means by which networks exchange traffic between one another. These interconnections are typically established in facilities that have known geographic locations, [...]

Machine Learning, as the most successful paradigm of Artificial Intelligence to date, has shown its great potential in restructuring all aspects in our everyday life, [...]

We will talk about the online influence maximization problem in social networks under the independent cascade model. Specifically, we aim to learn the set of [...]

In this talk we introduce a novel information propagation method in Twitter, while maintaining a low computational complexity. The proposed method first employs Joint Complexity, [...]

Social media contain information shared by hundreds of millions of users across the world and provide one of the richest dataset created by human activity. [...]

Hierarchical clustering is a recursive partitioning of a dataset into clusters at an increasingly finer granularity. Motivated by the fact that most work on hierarchical [...]

The problem of predicting connections between a set of data points finds many applications, in systems biology and social network analysis among others. We focus [...]