Olivier Zahm

According to our database, Olivier Zahm authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sequential transport maps using SoS density estimation and α-divergences.

Benjamin Zanger, Tiangang Cui, Martin Schreiber, Olivier Zahm

CoRR, 2024

2023

Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction.

Tiangang Cui, Sergey Dolgov, Olivier Zahm

J. Comput. Phys., 2023

Self-reinforced polynomial approximation methods for concentrated probability densities.

Tiangang Cui, Sergey Dolgov, Olivier Zahm

CoRR, 2023

2022

Certified dimension reduction in nonlinear Bayesian inverse problems.

Olivier Zahm, Tiangang Cui, Kody J. H. Law, Alessio Spantini, Youssef M. Marzouk

Math. Comput., 2022

Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems.

Tiangang Cui, Xin Tong, Olivier Zahm

CoRR, 2022

2021

Minimizing Rational Functions: A Hierarchy of Approximations via Pushforward Measures.

Jean-Bernard Lasserre, Victor Magron, Swann Marx, Olivier Zahm

SIAM J. Optim., 2021

Conditional Deep Inverse Rosenblatt Transports.

Tiangang Cui, Sergey Dolgov, Olivier Zahm

CoRR, 2021

Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems.

Tiangang Cui, Olivier Zahm

CoRR, 2021

Nonlinear dimension reduction for surrogate modeling using gradient information.

Daniele Bigoni, Youssef M. Marzouk, Clémentine Prieur, Olivier Zahm

CoRR, 2021

Learning non-Gaussian graphical models via Hessian scores and triangular transport.

Ricardo Baptista, Youssef M. Marzouk, Rebecca E. Morrison, Olivier Zahm

CoRR, 2021

2020

Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions.

Olivier Zahm, Paul G. Constantine, Clémentine Prieur, Youssef M. Marzouk

SIAM J. Sci. Comput., 2020

Multifidelity Dimension Reduction via Active Subspaces.

Rémi R. Lam, Olivier Zahm, Youssef M. Marzouk, Karen E. Willcox

SIAM J. Sci. Comput., 2020

An adaptive transport framework for joint and conditional density estimation.

Ricardo Baptista, Olivier Zahm, Youssef M. Marzouk

CoRR, 2020

Greedy inference with structure-exploiting lazy maps.

Michael Brennan, Daniele Bigoni, Olivier Zahm, Alessio Spantini, Youssef M. Marzouk

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Randomized Residual-Based Error Estimators for Parametrized Equations.

Kathrin Smetana, Olivier Zahm, Anthony T. Patera

SIAM J. Sci. Comput., 2019

Randomized residual-based error estimators for the Proper Generalized Decomposition approximation of parametrized problems.

Kathrin Smetana, Olivier Zahm

CoRR, 2019

2017

Projection-Based Model Order Reduction Methods for the Estimation of Vector-Valued Variables of Interest.

Olivier Zahm, Marie Billaud Friess, Anthony Nouy

SIAM J. Sci. Comput., 2017

2016

Interpolation of Inverse Operators for Preconditioning Parameter-Dependent Equations.

Olivier Zahm, Anthony Nouy

SIAM J. Sci. Comput., 2016