activity
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

collaborators
Showing math.FAShow all

6 papers · 1 filter

math.FA2021★ 6 cited

Approximation Theory of Tree Tensor Networks: Tensorized Multivariate Functions

Mazen Ali, Anthony Nouy

We study the approximation of multivariate functions with tensor networks (TNs), providing some answers to the following two questions: ``what are the approximation capabilities of…

math.FA2020★ 8 cited

Approximation of Smoothness Classes by Deep Rectifier Networks

Mazen Ali, Anthony Nouy

We consider approximation rates of sparsely connected deep rectified linear unit (ReLU) and rectified power unit (RePU) neural networks for functions in Besov spaces …

math.FA2020★ 8 cited

Approximation Theory of Tree Tensor Networks: Tensorized Univariate Functions -- Part II

Mazen Ali, Anthony Nouy

We study the approximation by tensor networks (TNs) of functions from classical smoothness classes. The considered approximation tool combines a tensorization of functions in $L^p(…

math.FA2020★ 8 cited

Approximation Theory of Tree Tensor Networks: Tensorized Univariate Functions -- Part I

Mazen Ali, Anthony Nouy

We study the approximation of functions by tensor networks (TNs). We show that Lebesgue -spaces in one dimension can be identified with tensor product spaces of arbitrary orde…

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…

math.FA2018

Singular Value Decomposition in Sobolev Spaces: Part I

Mazen Ali, Anthony Nouy

A well known result from functional analysis states that any compact operator between Hilbert spaces admits a singular value decomposition (SVD). This decomposition is a powerful t…