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20112026
most citedA least-squares method for sparse low rank approximation of multivariate functions

72 citations · 536 across the 51 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

math.FA2019★ 1 cited

Singular Value Decomposition in Sobolev Spaces: Part II

Mazen Ali, Anthony Nouy

Under certain conditions, an element of a tensor product space can be identified with a compact operator and the singular value decomposition (SVD) applies to the latter. These con…

stat.ML2019★ 1 cited

Learning high-dimensional probability distributions using tree tensor networks

Erwan Grelier, Anthony Nouy, Régis Lebrun

We consider the problem of the estimation of a high-dimensional probability distribution from i.i.d. samples of the distribution using model classes of functions in tree-based tens…

math.NA2019★ 18 cited

Boosted optimal weighted least-squares

Cécile Haberstich, Anthony Nouy, Guillaume Perrin

This paper is concerned with the approximation of a function in a given approximation space of dimension from evaluations of the function at suitably chosen point…

math.NA2019★ 3 cited

Randomized linear algebra for model reduction. Part II: minimal residual methods and dictionary-based approximation

Oleg Balabanov, Anthony Nouy

A methodology for using random sketching in the context of model order reduction for high-dimensional parameter-dependent systems of equations was introduced in [Balabanov and Nouy…

math.NA2019

Stochastic methods for solving high-dimensional partial differential equations

Marie Billaud-Friess, Arthur Macherey, Anthony Nouy +1

We propose algorithms for solving high-dimensional Partial Differential Equations (PDEs) that combine a probabilistic interpretation of PDEs, through Feynman-Kac representation, wi…