Olivier Zahm

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

High Dimensional Data Analysis

Dimension Reduction

Probability Measures

Generative Topographic Mapping

Top Venues

SIAM J. Sci. Comput.

J. Comput. Phys.

Publications

Qiao Chen, Elise Arnaud, Ricardo Baptista, Olivier Zahm
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis. CoRR (2024)
Rafael Flock, Yiqiu Dong, Felipe Uribe, Olivier Zahm
Certified coordinate selection for high-dimensional Bayesian inversion with Laplace prior. Stat. Comput. 34 (4) (2024)
Matthew T. C. Li, Tiangang Cui, Fengyi Li, Youssef M. Marzouk, Olivier Zahm
Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities. CoRR (2024)
Benjamin Zanger, Tiangang Cui, Martin Schreiber, Olivier Zahm
Sequential transport maps using SoS density estimation and α-divergences. CoRR (2024)
Tiangang Cui, Sergey Dolgov, Olivier Zahm
Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction. J. Comput. Phys. 485 (2023)
Tiangang Cui, Sergey Dolgov, Olivier Zahm
Self-reinforced polynomial approximation methods for concentrated probability densities. CoRR (2023)
Olivier Zahm, Tiangang Cui, Kody J. H. Law, Alessio Spantini, Youssef M. Marzouk
Certified dimension reduction in nonlinear Bayesian inverse problems. Math. Comput. 91 (336) (2022)
Tiangang Cui, Xin Tong, Olivier Zahm
Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems. CoRR (2022)
Jean-Bernard Lasserre, Victor Magron, Swann Marx, Olivier Zahm
Minimizing Rational Functions: A Hierarchy of Approximations via Pushforward Measures. SIAM J. Optim. 31 (3) (2021)
Tiangang Cui, Sergey Dolgov, Olivier Zahm
Conditional Deep Inverse Rosenblatt Transports. CoRR (2021)
Daniele Bigoni, Youssef M. Marzouk, Clémentine Prieur, Olivier Zahm
Nonlinear dimension reduction for surrogate modeling using gradient information. CoRR (2021)
Ricardo Baptista, Youssef M. Marzouk, Rebecca E. Morrison, Olivier Zahm
Learning non-Gaussian graphical models via Hessian scores and triangular transport. CoRR (2021)
Tiangang Cui, Olivier Zahm
Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems. CoRR (2021)
Michael Brennan, Daniele Bigoni, Olivier Zahm, Alessio Spantini, Youssef M. Marzouk
Greedy inference with structure-exploiting lazy maps. NeurIPS (2020)
Ricardo Baptista, Olivier Zahm, Youssef M. Marzouk
An adaptive transport framework for joint and conditional density estimation. CoRR (2020)
Rémi R. Lam, Olivier Zahm, Youssef M. Marzouk, Karen E. Willcox
Multifidelity Dimension Reduction via Active Subspaces. SIAM J. Sci. Comput. 42 (2) (2020)
Olivier Zahm, Paul G. Constantine, Clémentine Prieur, Youssef M. Marzouk
Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions. SIAM J. Sci. Comput. 42 (1) (2020)
Kathrin Smetana, Olivier Zahm, Anthony T. Patera
Randomized Residual-Based Error Estimators for Parametrized Equations. SIAM J. Sci. Comput. 41 (2) (2019)
Kathrin Smetana, Olivier Zahm
Randomized residual-based error estimators for the Proper Generalized Decomposition approximation of parametrized problems. CoRR (2019)
Olivier Zahm, Marie Billaud Friess, Anthony Nouy
Projection-Based Model Order Reduction Methods for the Estimation of Vector-Valued Variables of Interest. SIAM J. Sci. Comput. 39 (4) (2017)
Olivier Zahm, Anthony Nouy
Interpolation of Inverse Operators for Preconditioning Parameter-Dependent Equations. SIAM J. Sci. Comput. 38 (2) (2016)