Archives: Research Groups

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    Big Data, Data Science and Databases

    The Big Data, Data Science and Databases group focuses on information extraction & knowledge-base construction AIR and distributed dataflow engine based on asynchronous Iterative Routing.

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    This research is concerned with the Malliavin-Stein approach, which combines Stein’s method for probabilistic approximation with infinite-dimensional integration by parts formulae based on Malliavin-type operators. We exploit it in many situations, such as density estimates, universality results, stochastic geometry, nodal statistics of random waves and more recently machine learning.

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    Exploring the Fascinating World of Unpredictable

    We are passionate probabilists who enjoy exploring questions that involve a blend of statistics, geometry, functional analysis, combinatorics or related fields.

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    Carbon nanotube sheets are formed by parallel wires of connected carbon nanotubes. The sheets are aligned but with a degree of orientational order estimated with optical methods. They have also anisotropic properties and we evaluate the optical and electric anisotropic characteristics and interaction with polarized light. Properties are not trivially changed with the number of…

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