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Related publications (26)

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A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms

Mikhail Kapralov, Amir Zandieh

Reconstructing continuous signals based on a small number of discrete samples is a fundamental problem across science and engineering. We are often interested in signals with "simple" Fourier structure - e.g., those involving frequencies within a bounded r ...

ASSOC COMPUTING MACHINERY2019

Deterministic Algorithms for Submodular Maximization Problems

Moran Feldman

Randomization is a fundamental tool used in many theoretical and practical areas of computer science. We study here the role of randomization in the area of submodular function maximization. In this area, most algorithms are randomized, and in almost all c ...

ASSOC COMPUTING MACHINERY2018

Quasi-random numbers for copula models

Mathieu Jacques David Cambou

The present work addresses the question how sampling algorithms for commonly applied copula models can be adapted to account for quasi-random numbers. Besides sampling methods such as the conditional distribution method (based on a one-to-one transformatio ...

Springer2017

Contextualizing the co-creation of artefacts within the nested social structure of a collaborative MOOC

Pierre Dillenbourg, Kshitij Sharma, Stian Haklev

MOOCs have traditionally been seen as providing an individual learning experience, however there is an increasing trend towards enabling social learning in MOOCs. To make online learning at scale more social and collaborative, some MOOCs have introduced co ...

2017

Electrophysiological correlates of visual backward masking in first-episode psychosis

Michael Herzog, Maya Roinishvili, Albulena Jashari-Shaqiri, Janir Nuno Ramos Antunes Da Cruz, Ophélie Gladys Favrod

Schizophrenia is a heterogeneous disorder and among other symptoms, patients have important visual impairments. Visual paradigms are therefore important tools to investigate the mechanisms of schizophrenia. We have previously shown that visual backward mas ...

2017

Professional cyclic high mobility: modelling state transitions

Michel Bierlaire, Vincent Kaufmann, Emmanuel Pierre Jean Ravalet, Matthieu Marie Cochon de Lapparent, Alexis Gumy

This paper aims to investigate the combination of exogenous and dynamic endogenous variables in professional high mobility patterns. It is based on a panel dataset of the Job Mobilities and Family Lives in Europe research project conducted between 2007 and ...

2017