Publications related to « À l’Ouest, du nouveau ». Paysage commercial urbain à l’épreuve de la transition numérique

Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis

Alexandre Louis André Persat, Lorenzo Anton-Louis Talà, Xavier Jean-Yves Pierrat, Joanne Netter Engel, Marco Julian Kühn

The opportunistic pathogen Pseudomonas aeruginosa adapts to solid surfaces to enhance virulence and infect its host. Type IV pili (T4P), long and thin filaments that power surface-specific twitching motility, allow single cells to sense surfaces and contro ...

WILEY2023

Beyond the ultradeep frontier fields and legacy observations (BUFFALO): a high-resolution strong plus weak-lensing view of Abell 370

David Richard Harvey, Mathilde Jauzac

The HST treasury programme BUFFALO provides extended wide-field imaging of the six Hubble Frontier Fields galaxy clusters. Here we present the combined strong and weak-lensing analysis of Abell 370, a massive cluster at z = 0.375. From the reconstructed to ...

OXFORD UNIV PRESS2023

Minimax rate for optimal transport regression between distributions

Victor Panaretos, Laya Ghodrati

Distribution-on-distribution regression considers the problem of formulating and es-timating a regression relationship where both covariate and response are probability distributions. The optimal transport distributional regression model postulates that th ...

ELSEVIER2022

Scalable Stochastic Optimization: Scenario Reduction with Guarantees

Kilian Schindler

Stochastic optimization is a popular modeling paradigm for decision-making under uncertainty and has a wide spectrum of applications in management science, economics and engineering. However, the stochastic optimization models one faces in practice are int ...

EPFL2020

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Serge Vaudenay

The maximal achievable advantage of a (computationally unbounded) distinguisher to determine whether a source

Z

is distributed according to distribution

P_0

or

P_1

, when given access to one sample of

Z

, is characterized by the statistical distance ...

Springer, Cham2020

Wasserstein Distributionally Robust Learning

Soroosh Shafieezadeh Abadeh

Many decision problems in science, engineering, and economics are affected by uncertainty, which is typically modeled by a random variable governed by an unknown probability distribution. For many practical applications, the probability distribution is onl ...

EPFL2020

Non-perturbative probability distribution function for cosmological counts in cells

Sergey Sibiryakov, Mikhail Ivanov

We present a non-perturbative calculation of the 1-point probability distribution function (PDF) for the spherically-averaged matter density field. The PDF is represented as a path integral and is evaluated using the saddle-point method. It factorizes into ...

IOP PUBLISHING LTD2019

Modeling Macroroughness Contribution to Fish Habitat Suitability Curves

Paolo Perona, Holly Jayne Oldroyd, Amin Niayifar

Improved water management strategies necessitate a solid understanding of environmental impacts associated with various flow release policies. Habitat suitability models use hydrodynamic simulations to generate weighted usable area curves, which are useful ...

2018

Revenue and Reserve Prices in a Probabilistic Single Item Auction

Moran Feldman

We investigate the effect of limiting the number of reserve prices on the revenue in a probabilistic single item auction. In the model considered, bidders compete for an impression drawn from a known distribution of possible types. The auction mechanism se ...

Springer Verlag2017

Lightning Location Systems and Interstroke Intervals: Effects of Imperfect Detection Efficiency

Marcos Rubinstein, Mohammad Azadifar, Mirjana Stojilovic

Lightning location systems (LLSs) are often used to obtain parameters of lightning flashes. However, the imperfect detection efficiency (DE) of these systems affects the accuracy of the results. In this paper, we focus on the effects of the imperfect DE on ...

Ieee2016

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Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis

Beyond the ultradeep frontier fields and legacy observations (BUFFALO): a high-resolution strong plus weak-lensing view of Abell 370

Minimax rate for optimal transport regression between distributions

Scalable Stochastic Optimization: Scenario Reduction with Guarantees

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Wasserstein Distributionally Robust Learning

Non-perturbative probability distribution function for cosmological counts in cells

Modeling Macroroughness Contribution to Fish Habitat Suitability Curves

Revenue and Reserve Prices in a Probabilistic Single Item Auction

Lightning Location Systems and Interstroke Intervals: Effects of Imperfect Detection Efficiency

Beyond the ultradeep frontier fields and legacy observations (BUFFALO): a high-resolution strong plus weak-lensing view of Abell 370

Scalable Stochastic Optimization: Scenario Reduction with Guarantees

Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis

Minimax rate for optimal transport regression between distributions

Wasserstein Distributionally Robust Learning

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Revenue and Reserve Prices in a Probabilistic Single Item Auction

Modeling Macroroughness Contribution to Fish Habitat Suitability Curves

Lightning Location Systems and Interstroke Intervals: Effects of Imperfect Detection Efficiency

Non-perturbative probability distribution function for cosmological counts in cells