May 14 – 15, 2018
ENS de Lyon
Europe/Paris timezone

Tensor decomposition and structured matrices

May 14, 2018, 3:00 PM
Amphi A (ENS de Lyon)

Amphi A

ENS de Lyon

46 allée d'Italie 69364 Lyon Cedex 07, France


Bernard Mourrain (Inria Sophia-Antipolis)


Tensor decomposition problems appear in many areas such as Signal Processing, Quantum Information Theory, Algebraic Statistics, Biology, Complexity Analysis, … as a way to recover hidden structures from data. The decomposition is a representation of the tensor as a weighted sum of a minimal number of terms, which are tensor products of vectors. We present an algebraic approach to address this problem, which involves duality, Gorenstein Artinian algebras and Hankel operators. We show the connection with low rank decomposition of Hankel matrices, discuss algebraic and optimization techniques to solve it and illustrate the methods on some examples.

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