متابعة
Olivier Zahm
Olivier Zahm
INRIA
بريد إلكتروني تم التحقق منه على inria.fr
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Gradient-based dimension reduction of multivariate vector-valued functions‏
O Zahm, PG Constantine, C Prieur, YM Marzouk‏
SIAM Journal on Scientific Computing 42 (1), A534-A558, 2020‏
1102020
Certified dimension reduction in nonlinear Bayesian inverse problems‏
O Zahm, T Cui, K Law, A Spantini, Y Marzouk‏
Mathematics of Computation 91 (336), 1789-1835, 2022‏
982022
On the representation and learning of monotone triangular transport maps‏
R Baptista, Y Marzouk, O Zahm‏
Foundations of Computational Mathematics 24 (6), 2063-2108, 2024‏
81*2024
Greedy inference with structure-exploiting lazy maps‏
M Brennan, D Bigoni, O Zahm, A Spantini, Y Marzouk‏
Advances in Neural Information Processing Systems 33, 8330-8342, 2020‏
68*2020
Shared low-dimensional subspaces for propagating kinetic uncertainty to multiple outputs‏
W Ji, J Wang, O Zahm, YM Marzouk, B Yang, Z Ren, CK Law‏
Combustion and Flame 190, 146-157, 2018‏
592018
Multifidelity dimension reduction via active subspaces‏
RR Lam, O Zahm, YM Marzouk, KE Willcox‏
SIAM Journal on Scientific Computing 42 (2), A929-A956, 2020‏
582020
A tensor approximation method based on ideal minimal residualformulations for the solution of high-dimensional problems∗‏
M Billaud-Friess, A Nouy, O Zahm‏
ESAIM: Mathematical Modelling and Numerical Analysis 48 (6), 1777-1806, 2014‏
502014
Interpolation of inverse operators for preconditioning parameter-dependent equations‏
O Zahm, A Nouy‏
SIAM Journal on Scientific Computing 38 (2), A1044-A1074, 2016‏
412016
Nonlinear dimension reduction for surrogate modeling using gradient information‏
D Bigoni, Y Marzouk, C Prieur, O Zahm‏
Information and Inference: A Journal of the IMA 11 (4), 1597-1639, 2022‏
302022
Data-free likelihood-informed dimension reduction of Bayesian inverse problems‏
T Cui, O Zahm‏
Inverse Problems 37 (4), 045009, 2021‏
302021
Randomized residual-based error estimators for parametrized equations‏
K Smetana, O Zahm, AT Patera‏
SIAM journal on scientific computing 41 (2), A900-A926, 2019‏
282019
Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction‏
T Cui, S Dolgov, O Zahm‏
Journal of Computational Physics 485, 112103, 2023‏
252023
Learning non-Gaussian graphical models via Hessian scores and triangular transport‏
R Baptista, R Morrison, O Zahm, Y Marzouk‏
Journal of Machine Learning Research 25 (85), 1-46, 2024‏
182024
Gradient-based data and parameter dimension reduction for Bayesian models: an information theoretic perspective‏
R Baptista, Y Marzouk, O Zahm‏
arXiv preprint arXiv:2207.08670, 2022‏
162022
Randomized residual‐based error estimators for the proper generalized decomposition approximation of parametrized problems‏
K Smetana, O Zahm‏
International Journal for Numerical Methods in Engineering 121 (23), 5153-5177, 2020‏
142020
A fast boundary element method for the solution of periodic many-inclusion problems via hierarchical matrix techniques‏
P Cazeaux, O Zahm‏
ESAIM: Proceedings and Surveys 48, 156-168, 2015‏
14*2015
Projection-based model order reduction methods for the estimation of vector-valued variables of interest‏
O Zahm, M Billaud-Friess, A Nouy‏
SIAM Journal on Scientific Computing 39 (4), A1647-A1674, 2017‏
112017
Principal feature detection via ϕ-Sobolev inequalities‏
MTC Li, Y Marzouk, O Zahm‏
Bernoulli 30 (4), 2979-3003, 2024‏
102024
Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems‏
T Cui, XT Tong, O Zahm‏
Inverse Problems 38 (12), 124002, 2022‏
102022
Self-reinforced polynomial approximation methods for concentrated probability densities‏
T Cui, S Dolgov, O Zahm‏
arXiv preprint arXiv:2303.02554, 2023‏
52023
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مقالات 1–20