Publications associées à Patterns of dominant flows in the world trade web

Publications associées (25)

Global, Passive Detection of Connection Tampering

In-network devices around the world monitor and tamper with connections for many reasons, including intrusion prevention, combating spam or phishing, and country-level censorship. Connection tampering seeks to block access to specific domain names or keywo ...

Assoc Computing Machinery2023

On double-descent in uncertainty quantification in overparametrized models

Lenka Zdeborová, Florent Gérard Krzakala, Bruno Loureiro, Lucas Andry Clarte

Uncertainty quantification is a central challenge in reliable and trustworthy machine learning. Naive measures such as last-layer scores are well-known to yield overconfident estimates in the context of overparametrized neural networks. Several methods, ra ...

PMLR Proceedings of Machine Learning Research2023

Dynamic Personalized Ranking

Jérémie Rappaz

Personalized ranking methods are at the core of many systems that learn to produce recommendations from user feedbacks. Their primary objective is to identify relevant items from very large vocabularies and to assist users in discovering new content. These ...

EPFL2022

Relative, local and global dimension in complex networks

Alexis Arnaudon

Dimension is a fundamental property of objects and the space in which they are embedded. Yet ideal notions of dimension, as in Euclidean spaces, do not always translate to physical spaces, which can be constrained by boundaries and distorted by inhomogenei ...

Nature Portfolio2022

Les grands projets urbains entre global et local : une étude de cas comparative de Casablanca et de Genève à travers les logiques de marché et les résistances locales

Kamil Hajji

Globalization implies profound changes in territories that involve the emergence of major urban renewal projects. It has the effect of increasing competition between metropolises. In order to make a place for themselves in this increasingly competitive glo ...

EPFL2020

A complex networks approach to traffic flow theory: measures and models

Leonardo Bellocchi

In this thesis, we developed a research direction that combines the theoretical concepts of complex networks with practical needs and applications in the field of transportation engineering. As a first objective we analyzed the phenomenon of congestion pr ...

EPFL2020

Regional Effects of Exchange Rate Fluctuations

Christian Pröbsting

We exploit differences across U.S. states' exposure to trade to study the effects of changes in the exchange rate on economic activity. Across states, trade-weighted exchange rate depreciations are associated with increased state exports, reduced state une ...

2020

Local Vulnerabilities and Global Robustness of Coupled Dynamical Systems on Complex Networks

Melvyn Sandy Tyloo

Coupled dynamical systems are omnipresent in everyday life. In general, interactions between individual elements composing the system are captured by complex networks. The latter greatly impact the way coupled systems are functioning and evolving in time. ...

EPFL2020

Metropolitan Innovation Systems: Inquiry into the co-evolving relations between Industry, University and Government

Jiayun Shen

Innovation is crucial and decisive for the long-term development of a metropolitan region in the global economy. While firms certainly play a significant role in the development of specific innovation, the environment that nur-tures innovative firms and di ...

EPFL2020

Iterative Classroom Teaching

Pierre Dillenbourg, Volkan Cevher, Thibault Lucien Christian Asselborn, Shuqing Teresa Yeo, Louis Pierre Faucon, Kamalaruban Parameswaran

We consider the machine teaching problem in a classroom-like setting wherein the teacher has to deliver the same examples to a diverse group of students. Their diversity stems from differences in their initial internal states as well as their learning rate ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2019

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks

Wulfram Gerstner, Tilo Schwalger, Samuel Pavio Muscinelli

While most models of randomly connected neural networks assume single-neuron models with simple dynamics, neurons in the brain exhibit complex intrinsic dynamics over multiple timescales. We analyze how the dynamical properties of single neurons and recurr ...

2019

The Advent of the Sharing Culture and its Effect on Product Pricing

Thomas Alois Weber, Maryam Razeghian Jahromi

Empirical observations suggest that consumers' propensity towards sharing varies with culture and the individuals' socio-demographic characteristics. In an economy with overlapping generations of heterogeneous consumers, we study optimal dynamic selling by ...

2019

ODes aCCSES Report: Optimal design and control of cruise ship energy systems

Francesco Baldi

Reducing global emissions of greenhouse gases while promoting social and economicdevelopment is one of the toughest challenges ever faced in the history of human kind.This challenge is affecting all sectors of human activities: process plants, land-basedtr ...

2019

Life-history trade-offs and limitations associated with phenotypic adaptation under future ocean warming and elevated salinity

Emma Mary Gibbin

Little is known about the life-history trade-offs and limitations, and the physiological mechanisms that are associated with phenotypic adaptation to future ocean conditions. To address this knowledge gap, we investigated the within-and trans-generation li ...

ROYAL SOC2019

Global robustness versus local vulnerabilities in complex synchronous networks

Philippe René Joseph Jacquod

In complex network-coupled dynamical systems, two questions of central importance are how to identify the most vulnerable components and how to devise a network making the overall system more robust to external perturbations. To address these two questions ...

2019

Financial Stability and the Macroeconomy : the Role of Bank Liquidity Regulation and Deposit Insurance

Corinne Dubois

The financial crisis of 2007-2009 drew attention to the essential role of banks for the macroeconomy and to the importance of having a resilient financial sector. A vulnerability in the financial sector spills over to the real economy and can drive it into ...

EPFL2018

The Socio-Economic Embeddedness of the Circular Economy: An Integrative Framework

Claudia Rebeca Binder Signer, Rafael Laurenti

Global economies have been characterised by a large dependency of material inflows from natural stocks, an exponential growth of material stock-in-use in the built environment, and the extensive disposal of waste material outflows to anthropogenic sinks. I ...

2018

Exploring Data Partitions for What-if Analysis

Quoc Viet Hung Nguyen, Thành Tâm Nguyên

What-if analysis is a data-intensive exploration to inspect how changes in a set of input parameters of a model influence some outcomes. It is motivated by a user trying to understand the sensitivity of a model to a certain parameter in order to reach a se ...

2018

Optimization of Message Encryption for Real-Time Applications in Embedded Systems

Amir Aminifar

Today, security can no longer be treated as a secondary issue in embedded and cyber-physical systems. Therefore, one of the main challenges in these domains is the design of secure embedded systems under stringent resource constraints and real-time require ...

2018

SGAN: An Alternative Training of Generative Adversarial Networks

François Fleuret, Tatjana Chavdarova

The Generative Adversarial Networks (GANs) have demonstrated impressive performance for data synthesis, and are now used in a wide range of computer vision tasks. In spite of this success, they gained a reputation for being difficult to train, what results ...

IEEE2018