Publications related to Dynamics of vortices in disordered Josephson junctions arrays

Asynchronous Adaptation and Learning Over Networks—Part I: Modeling and Stability Analysis

In this work and the supporting Parts II and III of this paper, also in the current issue, we provide a rather detailed analysis of the stability and performance of asynchronous strategies for solving distributed optimization and adaptation problems over n ...

Institute of Electrical and Electronics Engineers2015

Protecting Circuits From Computationally Bounded And Noisy Leakage

Sebastian Faust

Physical computational devices leak side-channel information that may, and often does, reveal secret internal states. We present a general transformation that compiles any circuit into a circuit with the same functionality but resilience against well-defin ...

Siam Publications2014

Metastable densities for the contact process on power law random graphs

Thomas Mountford, Daniel Rodrigues Valesin

We consider the contact process on a random graph with a fixed degree distribution given by a power law. We follow the work of Chatterjee and Durrett [2], who showed that for arbitrarily small infection parameter lambda, the survival time of the process is ...

Univ Washington, Dept Mathematics2013

Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete $L^2$ Projection on Polynomial Spaces

Fabio Nobile, Giovanni Migliorati, Erik Gustaf Bogislaw Von Schwerin

In this work we consider the random discrete

L^2

projection on polynomial spaces (hereafter RDP) for the approximation of scalar quantities of interest (QOIs) related to the solution of a partial differential equation model with random input parameters. ...

Siam Publications2013

Analysing Neuronal Network Architectures

Christian Tomm

The connections cortical neurons forms are different in each individual human or animal. Although there are known and determined large scale connections between areas of the brain that are common across individuals, the local connectivity on smaller scales ...

EPFL2012

Compressible distributions for high-dimensional statistics

Volkan Cevher, Rémi Gribonval

We develop a principled way of identifying probability distributions whose independent and identically distributed realizations are compressible, i.e., can be well approximated as sparse. We focus on Gaussian compressed sensing, an example of underdetermin ...

Institute of Mathematical Statistics2012

Interacting populations in heterogeneous environments

Séverine Vuilleumier Varisco

To optimally manage a metapopulation, managers and conservation biologists can favor a type of habitat spatial distribution (e.g. aggregated or random). However, the spatial distribution that provides the highest habitat occupancy remains ambiguous and num ...

Elsevier2012

Impact of stochastic fluctuations in storage-discharge relations on streamflow distributions

Andrea Rinaldo, Enrico Bertuzzo, Samir Suweis, Gianluca Botter

In this paper we extend recent theoretical results on the structure of the probability density function of streamflows forced by stochastic rainfall sequences. Our extension is aimed at incorporating an additional, independent source of variability assumed ...

2010

Negative Poisson's Ratio Behavior Induced by an Elastic Instability

Pedro Miguel Nunes Pereira de Almeida Reis

Negative Poisson's ratio behavior has been uncovered in cellular solids that comprise a solid matrix with a square array of circular voids. The simplicity of the fabrication implies robust behavior, which is relevant over a range of scales. The behavior re ...

Wiley-Blackwell2010

Multi-experts scheduling system for real-time applications

Mario Bellino

This thesis focuses on the decisional process of autonomous systems, and more particularly, on the way to take a decision when the time at disposal in order to assess the whole situation is shorter than necessary. Indeed, numerous systems propose solutions ...

EPFL2009

Dynamics of vortices in disordered Josephson junctions arrays

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Asynchronous Adaptation and Learning Over Networks—Part I: Modeling and Stability Analysis

Protecting Circuits From Computationally Bounded And Noisy Leakage

Metastable densities for the contact process on power law random graphs

Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete $L^2$ Projection on Polynomial Spaces

Analysing Neuronal Network Architectures

Compressible distributions for high-dimensional statistics

Interacting populations in heterogeneous environments

Impact of stochastic fluctuations in storage-discharge relations on streamflow distributions

Negative Poisson's Ratio Behavior Induced by an Elastic Instability

Multi-experts scheduling system for real-time applications

Asynchronous Adaptation and Learning Over Networks—Part I: Modeling and Stability Analysis

Protecting Circuits From Computationally Bounded And Noisy Leakage

Impact of stochastic fluctuations in storage-discharge relations on streamflow distributions

Metastable densities for the contact process on power law random graphs

Compressible distributions for high-dimensional statistics

Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete $L^2$ Projection on Polynomial Spaces

Analysing Neuronal Network Architectures

Negative Poisson's Ratio Behavior Induced by an Elastic Instability

Interacting populations in heterogeneous environments

Multi-experts scheduling system for real-time applications