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Publications associées (30)

Feedback and Common Information: Bounds and Capacity for Gaussian Networks

Network information theory studies the communication of information in a network and considers its fundamental limits. Motivating from the extensive presence of the networks in the daily life, the thesis studies the fundamental limits of particular network ...

EPFL2021

Local Tomography of Large Networks Under the Low-Observability Regime

Ali H. Sayed, Augusto José Rabelo Almeida Santos

This article studies the problem of reconstructing the topology of a network of interacting agents via observations of the state-evolution of the agents. We focus on the large-scale network setting with the additional constraint of partial observations, wh ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Interactions between Personality, Depression, Anxiety and Cognition to Understand Early Stage of Alzheimer's Disease

Valérie Rita Madeleine Zufferey

The multifaceted nature of Alzheimer's disease (AD) and Mild cognitive impairment (MCI) can lead to wide inter-individual differences in disease manifestation in terms of brain pathology and cognition. The lack of understanding of phenotypic diversity in A ...

BENTHAM SCIENCE PUBL LTD2020

Price-based Controller for Utility-aware HTTP Adaptive Streaming

Pascal Frossard, Laura Toni, Stefano D'Aronco

HTTP Adaptive Streaming (HAS) permits to efficiently deliver video to multiple heterogenous users in a fully distributed way. This might however lead to unfair bandwidth utilization among HAS users. Therefore, network-assisted HAS systems have been propose ...

Institute of Electrical and Electronics Engineers2017

Scaling a Reliable Distributed System

Alexandre David Olivier Maurer

We consider the problem of reliably connecting an arbitrarily large set of computers (nodes) with communication channels. Reliability means here the ability, for any two nodes, to remain connected (i.e., their ability to communicate) with probability at le ...

LPD EPFL2016

Multimodal graph theoretical analysis of functional brain connectivity using adaptive two-step strategy

Dimitri Nestor Alice Van De Ville, Djalel Eddine Meskaldji

Recently, we proposed a two-step adaptive strategy for the statistical analysis of brain connectivity that is based on a first screening at the subnetwork level and a filtering at the connection/node level. The method was shown to guarantee strong control ...

2014

Foil-to-foil interconnection of capacitive humidity sensors using electrically conductive adhesives

Nico de Rooij, Danick Briand

The present study presents the development and comparison of two foil-to-foil lamination and interconnection methods of foil-based capacitive humidity sensors. The first method uses confined anisotropic conductive adhesive (ICA) in laser ablated vias throu ...

2013

Active topology inference using network coding

Christina Fragouli

Our goal, in this paper, is to infer the topology of a network when (i) we can send probes between sources and receivers at the edge of the network and (ii) intermediate nodes can perform simple network coding operations, i.e., additions. Our key intuition ...

2013

Analysis of precision in chemical oscillators: implications for circadian clocks

Felix Naef, Alessandro De Simone, Thomas d'Eysmond

Biochemical reaction networks often exhibit spontaneous self-sustained oscillations. An example is the circadian oscillator that lies at the heart of daily rhythms in behavior and physiology in most organisms including humans. While the period of these osc ...

Institute of Physics2013

Recovery of the default mode network after demanding neurofeedback training occurs in spatio-temporally segregated subnetworks

Dimitri Nestor Alice Van De Ville, Rotem Roza Kopel

The default mode (DM) network is a major large-scale cerebral network that can be identified with functional magnetic resonance imaging (fMRI) during resting state. Most studies consider functional connectivity networks as stationary phenomena. Consequentl ...

Elsevier2012

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