Anthony Nouy

According to our database1, Anthony Nouy authored at least 38 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A probabilistic reduced basis method for parameter-dependent problems.
Adv. Comput. Math., April, 2024

2023
Active Learning of Tree Tensor Networks using Optimal Least Squares.
SIAM/ASA J. Uncertain. Quantification, September, 2023

Weighted least-squares approximation with determinantal point processes and generalized volume sampling.
CoRR, 2023

Weighted sparsity and sparse tensor networks for least squares approximation.
CoRR, 2023

A moment approach for entropy solutions of parameter-dependent hyperbolic conservation laws.
CoRR, 2023

Dictionary-based model reduction for state estimation.
CoRR, 2023

2022
Boosted optimal weighted least-squares.
Math. Comput., 2022

A PAC algorithm in relative precision for bandit problem with costly sampling.
Math. Methods Oper. Res., 2022

Tensor-Based Numerical Method for Stochastic Homogenization.
Multiscale Model. Simul., 2022

Moment-SoS Methods for Optimal Transport Problems.
CoRR, 2022

2021
Approximation of Smoothness Classes by Deep Rectifier Networks.
SIAM J. Numer. Anal., 2021

Approximation by tree tensor networks in high dimensions: Sobolev and compositional functions.
CoRR, 2021

Preconditioners for model order reduction by interpolation and random sketching of operators.
CoRR, 2021

Approximation with Tensor Networks. Part III: Multivariate Approximation.
CoRR, 2021

Randomized linear algebra for model reduction - part II: minimal residual methods and dictionary-based approximation.
Adv. Comput. Math., 2021

2020
Geometry of tree-based tensor formats in tensor Banach spaces.
CoRR, 2020

Approximation of Smoothness Classes by Deep ReLU Networks.
CoRR, 2020

Approximation with Tensor Networks. Part II: Approximation Rates for Smoothness Classes.
CoRR, 2020

Approximation with Tensor Networks. Part I: Approximation Spaces.
CoRR, 2020

A geometry based algorithm for dynamical low-rank approximation.
CoRR, 2020

An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019
Weakly Intrusive Low-Rank Approximation Method for Nonlinear Parameter-Dependent Equations.
SIAM J. Sci. Comput., 2019

Higher-order principal component analysis for the approximation of tensors in tree-based low-rank formats.
Numerische Mathematik, 2019

On the Dirac-Frenkel Variational Principle on Tensor Banach Spaces.
Found. Comput. Math., 2019

Singular Value Decomposition in Sobolev Spaces: Part II.
CoRR, 2019

Learning high-dimensional probability distributions using tree tensor networks.
CoRR, 2019

Randomized linear algebra for model reduction. Part I: Galerkin methods and error estimation.
Adv. Comput. Math., 2019

2018
Learning with tree-based tensor formats.
CoRR, 2018

2017
Projection-Based Model Order Reduction Methods for the Estimation of Vector-Valued Variables of Interest.
SIAM J. Sci. Comput., 2017

Dynamical Model Reduction Method for Solving Parameter-Dependent Dynamical Systems.
SIAM J. Sci. Comput., 2017

2016
Interpolation of Inverse Operators for Preconditioning Parameter-Dependent Equations.
SIAM J. Sci. Comput., 2016

2015
To Be or Not to be Intrusive? The Solution of Parametric and Stochastic Equations - Proper Generalized Decomposition.
SIAM J. Sci. Comput., 2015

A Least-Squares Method for Sparse Low Rank Approximation of Multivariate Functions.
SIAM/ASA J. Uncertain. Quantification, 2015

2014
Model Reduction Based on Proper Generalized Decomposition for the Stochastic Steady Incompressible Navier-Stokes Equations.
SIAM J. Sci. Comput., 2014

Low-Rank Approximate Inverse for Preconditioning Tensor-Structured Linear Systems.
SIAM J. Sci. Comput., 2014

To Be or Not to Be Intrusive? The Solution of Parametric and Stochastic Equations - the "Plain Vanilla" Galerkin Case.
SIAM J. Sci. Comput., 2014

2012
Proper generalized decomposition for nonlinear convex problems in tensor Banach spaces.
Numerische Mathematik, 2012

2009
Generalized spectral decomposition for stochastic nonlinear problems.
J. Comput. Phys., 2009


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