Seminars

Static and dynamic clustering algorithms are a fundamental tool in any machine learning library. Most of the efforts in developing dynamic machine learning and data mining algorithms [...]

In this presentation, we would like to focus on two well known NP-Hard problems and then provide a combinatorial optimization view  before proposing new and [...]

Accurately monitoring application performance is becoming more important for Internet Service Providers (ISPs), as users increasingly expect their networks to consistently deliver acceptable application quality. [...]

Hardening data protection using multiple methods rather than solely encryption is of paramount importance when considering continuous and powerful attacks to spy private and confidential information. Our research focuses on reinforcing data protection using a combination of data fragmentation, encryption, and dispersion. Each operation participates in the increasing of the protection level. We aim at minimizing the additional processing costs due to data fragmentation and dispersion.

TBA https://youtu.be/QA8ON74zvag

Software Defined Networking (SDN) is gaining momentum with the support of major manufacturers. While it brings flexibility in the management of flows within the data [...]

A critical problem with the consensus protocols underlying blockchains is that they do not scale well. As the number of participants trying to achieve consensus [...]

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 [...]

Motivated by the increasing ubiquity of large-scale data collection infrastructures, we investigate how to protect sensitive information in dynamic resource allocation problems. The central question [...]

Abstract: Many learning problems are formulated as minimization of some loss function on a training set of examples. Distributed gradient methods on a cluster are [...]

Modern cities are alive with sensors, such as smartphones, wearables, vehicles, and cameras. Realizing our plans for smart environments of the future necessitates a radical [...]

Workshop LINCS and its Scientific Committee June 19th and 20th, 2018 LINCS  -  23 avenue d’Italie, 4th floor – 75013 Paris Agenda June 19th Welcome [...]

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 [...]

In this talk, I will present recent works on large-scale similarity search, and show that it is possible to build a graph connecting up to [...]

Clustering is a central problem in machine learning for which graph-based approaches have proven their efficiency. In this paper, we study a relaxation of the [...]

In this talk, I will present a collection of results focusing on the presence of inhomogeneities in networks: from the detection of dense clusters (community [...]

Recent results have characterized the exact information-theoretic threshold for graph matching in correlated Erd?s-Rényi graphs. However, very little is known about the existence of efficient [...]

Money or data transfers, contacts between individuals, or product sales, may all be modeled as temporal interactions. Studying the structure and dynamics of interactions is [...]

This workshop will bring together researchers from both industry and academia for presenting and discussing learning techniques from/with graphs, from both theoretical and practical perspectives. [...]

Fingerprinting networking equipment has many potential applications and benefits in network management and security. More generally, it is useful for the understanding of network structures [...]

Open web proxies promise anonymity and censorship circumvention at no cost. Several websites publish lists of free proxies organized by country, anonymity level, and performance. [...]

Confinement of human settlement in areas limited in size is the foundation of the long-standing Central Place Theory which assumes the existence of regular spatial [...]

 Abstract: In this talk, I present our ongoing work on utilising edge-computing to improve the scalability and privacy of user-centred analytics in the context of [...]

We propose a novel algorithm for the hierarchical clustering of graphs. The algorithm is a simple but key modification of the Louvain algorithm based on [...]

In many applications such as cloud computing, managing server farm resources etc. an incoming task or job has to be matched with an appropriate server [...]

Next generation wireless architectures are expected to enable slices of shared wireless infrastructure which are customized to specific mobile operators/services. Given infrastructure costs and the [...]

Abstract: Apple and Samsung have been fighting patent battles around the world. Come learn about the mathematics at the heart of one of these battles, [...]

In this presentation, a completely revisited secure data storage and transmission scheme ispresented. This new scheme is based on an agnostic selective encryption methods combinedwith [...]

Understanding the performance of a pool of servers is crucial for proper dimensioning. One of the main challenges is to take into account the complex [...]

Although many advantages are expected from the provision of services for M2M communications in cellular networks such as extended coverage, security, robust management and lower [...]

Abstract: We consider vector fixed point (FP) equations in large dimensional spaces involving random variables, and study their realization-wise solutions. We have an underlying directed [...]

Many foundational issues in quantum mechanics frustrate the experts and keep them up at night. Unfortunately, when these concepts reach the greater public, they are [...]

Predicting the user Quality-of-Experience (QoE) for an internet application is a highly desirable feature in a number of situations. However, directly measuring user QoE is [...]