Videos

Learning from data strutured as a graph usually requires to embed this graph in some vector space of low dimension. The most popular technique relies [...]

Edge computing provides a new way to implement services with many unique advantages. While many edge computing solutions have been implemented within different network infrastructures, [...]

Stochastic network calculus is a tool for computing error bounds on the performance of queueing systems. However, deriving accurate bounds for networks consisting of several [...]

For decades power systems academics have proclaimed the need for real time prices to create a more efficient grid. The rationale is economics 101: proper [...]

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 [...]