Publications associées à Statistical population

Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network

Alexis Berne, Jussi Sakari Leinonen, Daniele Nerini

Generative adversarial networks (GANs) have been recently adopted for super-resolution, an application closely related to what is referred to as "downscaling'' in the atmospheric sciences: improving the spatial resolution of low-resolution images. The abil ...

2020

Analyzing and modeling sub-diffusive transport of bedload along a heterogeneous gravel bed using stochastic and statistical methods

Zhenzhu Meng, Zhipeng Li, Yong Zhang

Bedload transport is one of the main mechanisms for sediment transport in rivers. Bedload transport may exhibit anomalous dispersion behavior during the formation of clusters on the surface of a heterogeneous river bed, which cannot be quantified by the cl ...

2020

Tobias Schneider, Sajjad Azimi

At sufficiently high Reynolds numbers, shear-flow turbulence close to a wall acquires universal properties. When length and velocity are rescaled by appropriate characteristic scales of the turbulent flow and thereby measured in inner units, the statistica ...

CAMBRIDGE UNIV PRESS2020

Does desorption affect the length distributions of nanowires?

Anna Fontcuberta i Morral, Wonjong Kim, Vladimir Dubrovskii, Jelena Vukajlovic Plestina

State-of-the art models for statistical properties within the nanowire ensembles consider influx of precursors, reflection and surface diffusion of adatoms. These models predict a delay in the nanowire growth start and the evolution toward an asymmetric le ...

2019

Comparing dynamics: deep neural networks versus glassy systems

Matthieu Wyart, Mario Geiger, Marco Baity-Jesi, Stefano Spigler, Levent Dogus Sagun

We analyze numerically the training dynamics of deep neural networks (DNN) by using methods developed in statistical physics of glassy systems. The two main issues we address are (1) the complexity of the loss landscape and of the dynamics within it, and ( ...

IOP PUBLISHING LTD2019

Strain-based approach to fatigue crack initiation on high-strength-steel welded joints under multiaxial loading

Alain Nussbaumer, Martin Antonio René Garcia, Heikki Tapani Remes

A recently novel strain-based approach recently proposed by Remes (Remes 2013) for the fatigue strength modelling of welded steel joints is extended here to consider multiaxial loading conditions and three dimensions finite element models. Only the first s ...

CRC Press (Taylor & Francis)2019

Global spatial analysis of toxic emissions to freshwater: operationalization for LCA

Anna Kounina Massé

PurposeThere is increasing interest in using fate and exposure models to spatially differentiate the impacts of chemical emissions. This work aims at exploring the operationalization in life cycle assessment (LCA) of spatially differentiated models for tox ...

SPRINGER HEIDELBERG2019

The mean-field behavior of processor sharing systems with general job lengths under the SQ(d) policy

Arpan Mukhopadhyay

This paper addresses the mean-field behavior of large-scale systems of parallel servers with a processor sharing service discipline when arrivals are Poisson and jobs have general service time distributions when an SQ(d) routing policy is used. Under this ...

ELSEVIER SCIENCE BV2018

Comparing Dynamics: Deep Neural Networks versus Glassy Systems

Mario Geiger, Marco Baity-Jesi, Rainer Wesche, Stefano Spigler, Levent Dogus Sagun

We analyze numerically the training dynamics of deep neural networks (DNN) by using methods developed in statistical physics of glassy systems. The two main issues we address are the complexity of the loss-landscape and of the dynamics within it, and to wh ...

2018

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Statistical population

Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network

Analyzing and modeling sub-diffusive transport of bedload along a heterogeneous gravel bed using stochastic and statistical methods

Self-similar invariant solution in the near-wall region of a turbulent boundary layer at asymptotically high Reynolds numbers

Does desorption affect the length distributions of nanowires?

Comparing dynamics: deep neural networks versus glassy systems

Strain-based approach to fatigue crack initiation on high-strength-steel welded joints under multiaxial loading

Global spatial analysis of toxic emissions to freshwater: operationalization for LCA

Fréchet means and Procrustes analysis in Wasserstein space

The mean-field behavior of processor sharing systems with general job lengths under the SQ(d) policy

Comparing Dynamics: Deep Neural Networks versus Glassy Systems

Graph Chatbot

Chattez avec Graph Search

Global spatial analysis of toxic emissions to freshwater: operationalization for LCA

Strain-based approach to fatigue crack initiation on high-strength-steel welded joints under multiaxial loading

Analyzing and modeling sub-diffusive transport of bedload along a heterogeneous gravel bed using stochastic and statistical methods

Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network

Fréchet means and Procrustes analysis in Wasserstein space

Self-similar invariant solution in the near-wall region of a turbulent boundary layer at asymptotically high Reynolds numbers

Comparing Dynamics: Deep Neural Networks versus Glassy Systems

Comparing dynamics: deep neural networks versus glassy systems

The mean-field behavior of processor sharing systems with general job lengths under the SQ(d) policy

Does desorption affect the length distributions of nanowires?