Activities

In a pioneer work from 1976, Paul Malliavin lays the foundations for an infinite-dimensional stochastic calculus of variations. Initially developed on the Wiener space, the [...]

Two interns from LINCS will present their works at this LINCS seminar: 1) Pooneh Mokariasl (Nokia Bell Labs / Sorbonne Université): Monitoring as a service [...]

IRTF is the research part of the IETF, producing Internet Drafts and Requests For Comments on topics that are still in the research phase. The [...]

I will first review some results on the contact process on graphs. I will then describe ongoing research on this type of dynamics on random [...]

What is the difference between "good" and "bad" code? What gain is there to expect from turning to clean code? I know how to code [...]

In this thesis, we investigate resource allocation games, broadly defined as resource allocation problems involving interactions between competitive decision makers. We primarily focus on the [...]

I will first review some results on the contact process on graphs. I will then describe ongoing research on this type of dynamics on random [...]

Various classes of Graph Neural Networks (GNN) have been proposed and shown to be successful in a wide range of applications with graph structured data. [...]

Pygame is a Python package that wraps the SDL library. SDL (Simple DirectMedia Layer) is a cross-platform development library written in C, designed to provide [...]

Searching for documents is a task that everyone faces on a regular basis, especially when looking for a relevant Internet page, an e-mail, or a [...]

In 1948 Shannon published the article that defines modern information theory. For this reading group, we will present the first part of the article, which [...]

Internet of Things (IoT) devices are increasingly present in our lives. This plethora of devices creates a need to manage them easily, transparently and quickly [...]

Python offers a lot of tools to easily deal with local and Internet files. We will present a selection of these tools illustrated with nice [...]

Beam management is central in the operation of dense 5G cellular networks. Focusing the energy radiated to mobile terminals (MTs) by increasing the number of [...]

Cortes, C., Vapnik, V. Support-vector networks. Mach Learn 20, 273–297 (1995). https://doi.org/10.1007/BF00994018 . Abstract of the paper: "The support-vector network is a new leaming machine [...]

Python offers a lot of tools to easily deal with local and Internet files. We will present a selection of these tools illustrated with nice [...]

Non-orthogonal multiple access (NOMA) is a promising technology to increase the spectral efficiency and enable massive connectivity in future wireless networks. In contrast to orthogonal [...]

Recurrent Neural Networks (RNN) and Hidden Markov Models (HMM) are popular models for processing sequential data and have found many applications such as speech recognition, time [...]

Join us on for an introduction to PyTorch! Learn how to use it for machine learning purposes, and why it is useful for deep learning [...]

With the proliferation of smart devices, more and more people buy IP devices and home appliances to benefit from new services, allowing them to control [...]

The increasing number of machines and technologies involved in existing infrastructures and networks hardens their management. Even if many monitoring solutions help to detect a [...]

In many situations, classes of data points of primary interest also happen to be those that are least numerous. A well-known example is detection of [...]

Short presentation of tikzplotlib. Example.

An abstract class can be considered as a blueprint for other classes. It allows you to create a set of methods that must be created [...]

Deploying cellular networks in millimeter wave (mmWave) frequencies require coping with rapid channel variations and severe free-space pathloss and atmospheric absorption. In order to make [...]

In this talk, we will present our recent work investigating criteria of performance and success of teams in a scientific context using a quantitative approach. [...]

I will present the main ideas of the paper "Asymptotics for Euclidean minimal spanning trees on random points" by David Aldous and J. Michael Steele. [...]

First I will introduce our model, heterogeneous continuous time random walk (HCTRW) model as a versatile analytical formalism for studying and modeling diffusion processes in [...]

Scrapy is a Python-based tool for the collection of data from webpages which can be used either within Python code or in a stand-alone fashion [...]

(NSDI preview) Despite the well-known existence of load-balanced forwarding paths in the Internet, current Internet-wide active topology mapping efforts are multipath agnostic – largely because of the probing [...]

Replica mean-field (RMF) models have been introduced in various fields (biological neural networks, telecommunication networks) to study limit behaviors in models whilst preserving the finite-size [...]

English Version: Full-duplex (FD) is a principle in which a transceiver can receive and transmit on the same time-frequency radio resource. The principle was long [...]

Bandwidth Part (BWP) is a feature introduced in 3GPP Release 15 as part of the standard for 5G New Radio (NR). The introduction of BWPs [...]

Testing enables you to quickly detect when you break something in your code. Python has very convenient tools to do it, such as Doctest and [...]

Reference: Mutual Information Neural Estimation, Belghazi et al. , 2018. The mutual information (MI) of two random variables is a measure of the mutual dependence [...]

When developing a package, it is often stressed that tests play a crucial role in ensuring that your code works as intended. However, one may [...]

Reference: Spatial birth-and-death wireless networks, F. Baccelli et A. Sankararaman. Stochastic geometry can prove useful to model spatial stochastic systems. In this paper, Baccelli and [...]

In the Bitcoin system, mining is the procedure through which miners can gain money on regular basis by finding solutions to a mathematical crypto puzzle [...]

We will cover the basics of docstrings and see how to generate documentation with Sphinx. Estimated duration: 30min.

Information-Centric Networking (ICN) embraces a family of network architectures re-thinking Internet communication principles around named-data. After several years of research and the emergence of a [...]

This thesis is motivated by the electric power system transformations due to more renewable integration and changing consumption patterns. Energy storage is one possible solution [...]

We’ll cover basics of Python and design aspects. Do not hesitate to come even if you did not attend the first and second sessions. Download [...]

The Laplacian of a graph is a key object in the theory of graphs and can be viewed as the generator of a continuous time [...]

The false discovery rate (FDR) is a statistical approach used in multiple hypothesis testing to correct for multiple comparisons. It is typically used in high-throughput [...]

We’ll cover basics of Python and design aspects. Do not hesitate to come even if you did not attend the first session. Download the notebook.

We consider wireless communication networks where service rates of nodes depend the loads of their neighbours. We demonstrate that these rates are utility-maximising in a [...]

We present exact formulas for the number of digraphs in various interesting families: acyclic digraphs (dags), strongly connected digraphs, digraphs with constraints on their strongly [...]

In this presentation, we will analyse from the game theoretical point of view Byzantine Fault Tolerant (BFT) blockchains when processes exhibit rational or Byzantine behaviour. [...]

When in need of benchmarking an algorithm, running said algorithm on a given - likely wide - range of parameters is usually required. In order [...]

Authors:  Mahdieh Ahmadi, James Roberts, Emilio Leonardi, and Ali Movaghar While the cost of the access network could be considerably reduced by the use of [...]

After a brief presentation of Reinforcement Learning in general, I give the theoretical bases for a particular reinforcement algorithm, Q-Learning, and its neural-network-powered version, Deep [...]