Activities

Two independent tools will be presented for this session. Pyinstaller is a tool that converts Python code in standalone executable. The goal is not to [...]

The limited power requirements of new generations of base stations make the use of renewable energy sources, solar in particular, extremely attractive for mobile network [...]

When working with interacting particle systems, mean-field models provide a link between models on a microscopic scale describing the behavior of the system and simplified [...]

Services often consists of independent components that can be executed independently (so-called microservices) and they often deal with very large user populations. This setup presents [...]

SimPy is a python package for discrete event simulations based on python’s standard generators. This tutorial will demonstrate how you can use SimPy to implement [...]

Introduced by Rybko and Stolyar in 1992, fluid-scaling and fluid limits offer a systematic way to study the stability or instability of queuing networks over [...]

Cloud computing in addition to being a large industry can also seem daunting to understand. In this introduction, we will present in a very didactic [...]

A one-day collaborative workshop gathering researchers from LINCS and engineers from SystemX who will share their ongoing research to consolidate joint R&D activities, to create [...]

Edge Computing (EC) is a network paradigm in which computational resources, e.g., CPU, memory, are distributed in the access networks, close to the final users. [...]

With the goal of replacing proprietary hardware appliances with Virtual Network Functions (VNFs) implemented in software, Network Function Virtualization (NFV) has gained popularity in the [...]

Iterators are simple tools to browse objects in Python. They define a unique interface called iteration protocol, that enables to decorrelate the objects that contain [...]

This thesis contributes to the understanding of the organizational phenomenon of FabLabs, which aims to democratize personal digital manufacturing and promote knowledge sharing. To this [...]

Blockchains are one of most appealing technologies over the last years, both for scientists and for the general public. Blockchains are distributed ledgers that aim [...]

The world is suffering from a pandemic called COVID-19, caused by the SARS-CoV-2 virus. National governments have problems evaluating the reach of the epidemic, due [...]

Many reinforcement learning problems can be seen from the point of view of stochastic approximation. Unfortunately, classic stochastic approximation algorithms, such as Robbins-Monro, may have [...]

Network Function Virtualization (NFV) is a novel trend in IT networks which advocates replacing hardware middleboxes with equivalent pieces of code executed on general-purpose servers. [...]

In this second session about collections, I will talk about dictionaries and their main subclasses: OrderedDict, defaultdict, Counter and ChainMap.

Since the introduction of Google’s Page Rank method for Web searches in the late 1990s, graph algorithms have been part of our daily lives. In [...]

We study an N-player game where a pure action of each player is to select a non-negative function on a Polish space supporting a finite [...]

I will talk about collections in Python. Sets: set, frozenset. Sequences: tuple, named tuples, list, deque (we will just mention str and bytes). Mappings: dict, [...]

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. [...]