Videos

We introduce a novel embedding of directed graphs derived from the singular value decomposition (SVD) of the normalized adjacency matrix. Specifically, we show that, after [...]

In the first part of the talk we shall consider game theory as a tool for analyzing and predicting the evolution of the Internet topology. [...]

Graph classification has recently received a lot of attention from various fields of machine learning e.g. kernel methods, sequential modeling or graph embedding. We address [...]

In this talk, we address a very common and practical question for the programmer: what should be the general architecture of our code? In particular, [...]

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 [...]