Publications associées à Loi de Rayleigh

Mark Pauly, Florin Isvoranu, Uday Kusupati, Seiichi Eduardo Suzuki Erazo

We propose Reconfigurable Umbrella Meshes (RUMs), a new class of preassembled deployable structures. A RUM has a compact rest state that can be easily altered to deploy into different bending-active 3D target shapes. RUMs consist of elastic beams and rigid ...

De Gruyter2023

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

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

Alexandre Massoud Alahi, Sven Kreiss, Taylor Ferdinand Mordan, Lorenzo Bertoni

Monocular and stereo visions are cost-effective solutions for 3D human localization in the context of self-driving cars or social robots. However, they are usually developed independently and have their respective strengths and limitations. We propose a no ...

2021

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

Alexandre Massoud Alahi, Sven Kreiss, Taylor Ferdinand Mordan, Lorenzo Bertoni

Monocular and stereo vision are cost-effective solutions for 3D human localization in the context of self-driving cars or social robots. However, they are usually developed independently and have their respective strengths and limitations. We propose a nov ...

2020

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Daniel Kuhn, Viet Anh Nguyen, Peyman Mohajerin Esfahani

We introduce a distributionally robust maximum likelihood estimation model with a Wasserstein ambiguity set to infer the inverse covariance matrix of a p-dimensional Gaussian random vector from n independent samples. The proposed model minimizes the worst ...

2020

Strong convergence of multivariate maxima

Simone Padoan, Stefano Rizzelli

It is well known and readily seen that the maximum of n independent and uniformly on [0, 1] distributed random variables, suitably standardised, converges in total variation distance, as n increases, to the standard negative exponential distribution. We ex ...

CAMBRIDGE UNIV PRESS2020

Single-spectrum prediction of kurtosis of water waves in a nonconservative model

Yves-Marie François Ducimetière, Debbie Eeltink

We study statistical properties after a sudden episode of wind for water waves propagating in one direction. A wave with random initial conditions is propagated using a forced-damped higher-order nonlinear Schrödinger equation. During the wind episode, the ...

2019

How well do we understand the influence of drifting and blowing snow in extreme environments?

Varun Sharma, Michael Lehning, Jérôme François Sylvain Dujardin, Franziska Gerber, Benjamin Andreas Walter

Extreme cold environments such as the polar regions and high mountain areas are characterised by unknown precipitation quantities and a high variability of snow and ice masses. A key player in understanding the surface mass balance in these areas is drifti ...

2019

Methods and apparatus for three-dimensional fabrication by tomographic back projections

Christophe Moser, Paul Delrot, Damien Claude-Marie Loterie

A method for producing a three-dimensional object comprising computing a sequence of back-projections describing the three-dimensional object to be formed from different orientation angles of said object, defining a sequence of patterns of light using said ...

2019

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Loi de Rayleigh

RUM: Reconfigurable Umbrella Mesh

Can one hear the shape of a target zone?

Minimax rate for optimal transport regression between distributions

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Strong convergence of multivariate maxima

Single-spectrum prediction of kurtosis of water waves in a nonconservative model

How well do we understand the influence of drifting and blowing snow in extreme environments?

Methods and apparatus for three-dimensional fabrication by tomographic back projections

Graph Chatbot

Chattez avec Graph Search

Can one hear the shape of a target zone?

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

Strong convergence of multivariate maxima

Methods and apparatus for three-dimensional fabrication by tomographic back projections

RUM: Reconfigurable Umbrella Mesh

Minimax rate for optimal transport regression between distributions

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Single-spectrum prediction of kurtosis of water waves in a nonconservative model

How well do we understand the influence of drifting and blowing snow in extreme environments?