Concept

Grey box model

Related publications (32)

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An Analytical Model of Hardware Transactional Memory

Willy Zwaenepoel, Paolo Romano, Diego Didona

This paper investigates the problem of deriving a white box performance model of Hardware Transactional Memory (HTM) systems. The proposed model targets TSX, a popular implementation of HTM integrated in Intel processors starting with the Haswell family in ...

2017

Functional data analysis by matrix completion

Marie-Hélène Descary

Traditional approaches to analysing functional data typically follow a two-step procedure, consisting in first smoothing and then carrying out a functional principal component analysis. The idea underlying this procedure is that functional data are well ap ...

EPFL2017

Aerosol water parameterisation: A single parameter framework

Athanasios Nenes

We introduce a framework to efficiently parameterise the aerosol water uptake for mixtures of semi-volatile and non-volatile compounds, based on the coefficient, vi. This solute-specific coefficient was introduced in Metzger et al. (2012) to accurately par ...

Copernicus GmbH2016

Designing modeling notations readers understand

George Popescu

[Context] IT modelers create models to communicate their conceptualization of an organization and to facilitate the collaboration between business and IT people. The story they convey in their models is how the corporate IT systems fulfill the business peo ...

EPFL2016

Matrix Completion on Graphs

Pierre Vandergheynst, Michael Bronstein, Xavier Bresson, Vasilis Kalofolias

The problem of finding the missing values of a matrix given a few of its entries, called matrix completion, has gathered a lot of attention in the recent years. Al- though the problem under the standard low rank assumption is NP-hard, Cande`s and Recht sho ...

2014

Matrix Completion on Graphs

Pierre Vandergheynst, Michael Bronstein, Xavier Bresson, Vasilis Kalofolias

The problem of finding the missing values of a matrix given a few of its entries, called matrix completion, has gathered a lot of attention in the recent years. Although the problem is NP-hard, Candes and Recht showed that it can be exactly relaxed if the ...

2014

KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization

Ilya Loshchilov

This paper investigates the control of an ML component within the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) devoted to black-box optimization. The known CMA-ES weakness is its sample complexity, the number of evaluations of the objective fun ...

2013

A silicon model of the inner hair cell

Yusuf Leblebici

In this paper we present an electrical model of the inner hair cell based on an improved mathematical model. The model is implemented in silicon in the current domain using translinear circuits. It improves on previous models by taking into consideration t ...

2011

Modelling human perception of static facial expressions

Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini, Javier Cruz Mota, Thomas Robin

A recent internet based survey of over 35'000 samples has shown that when different human observers are asked to assign labels to static human facial expressions, different individuals categorize differently the same image. This fact results in a lack of a ...

2010

Optimization framework for calibration of constitutive models enhanced by neural networks

Laurent Vulliet, Rafal Filip Obrzud

A two-level procedure designed for the estimation of constitutive model parameters is presented in this paper. The neural network (NN) approach at the first level is applied to achieve the first approximation of parameters. This technique is used to avoid ...

2009