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Olivier Zahm
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2020 – today
- 2024
- [j10]Ricardo Baptista, Rebecca E. Morrison, Olivier Zahm, Youssef M. Marzouk:
Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport. J. Mach. Learn. Res. 25: 85:1-85:46 (2024) - [j9]Rafael Flock
, Yiqiu Dong
Certified coordinate selection for high-dimensional Bayesian inversion with Laplace prior. Stat. Comput. 34(4): 134 (2024) - [i11]Benjamin Zanger, Tiangang Cui, Martin Schreiber, Olivier Zahm:
Sequential transport maps using SoS density estimation and α-divergences. CoRR abs/2402.17943 (2024) - [i10]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 abs/2406.13036 (2024) - [i9]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 abs/2406.13425 (2024) - 2023
- [j8]Tiangang Cui
Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction. J. Comput. Phys. 485: 112103 (2023) - [i8]Tiangang Cui
Self-reinforced polynomial approximation methods for concentrated probability densities. CoRR abs/2303.02554 (2023) - 2022
- [j7]Olivier Zahm, Tiangang Cui
Certified dimension reduction in nonlinear Bayesian inverse problems. Math. Comput. 91(336): 1789-1835 (2022) - [i7]Tiangang Cui, Xin Tong, Olivier Zahm:
Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems. CoRR abs/2202.00074 (2022) - 2021
- [j6]Jean-Bernard Lasserre
Minimizing Rational Functions: A Hierarchy of Approximations via Pushforward Measures. SIAM J. Optim. 31(3): 2285-2306 (2021) - [i6]Ricardo Baptista, Youssef M. Marzouk, Rebecca E. Morrison, Olivier Zahm:
Learning non-Gaussian graphical models via Hessian scores and triangular transport. CoRR abs/2101.03093 (2021) - [i5]Daniele Bigoni, Youssef M. Marzouk, Clémentine Prieur, Olivier Zahm:
Nonlinear dimension reduction for surrogate modeling using gradient information. CoRR abs/2102.10351 (2021) - [i4]Tiangang Cui, Olivier Zahm:
Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems. CoRR abs/2102.13245 (2021) - [i3]Tiangang Cui, Sergey Dolgov, Olivier Zahm:
Conditional Deep Inverse Rosenblatt Transports. CoRR abs/2106.04170 (2021) - 2020
- [j5]Olivier Zahm
Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions. SIAM J. Sci. Comput. 42(1): A534-A558 (2020) - [j4]Rémi R. Lam
Multifidelity Dimension Reduction via Active Subspaces. SIAM J. Sci. Comput. 42(2): A929-A956 (2020) - [c1]Michael Brennan, Daniele Bigoni, Olivier Zahm, Alessio Spantini, Youssef M. Marzouk:
Greedy inference with structure-exploiting lazy maps. NeurIPS 2020 - [i2]Ricardo Baptista, Olivier Zahm
An adaptive transport framework for joint and conditional density estimation. CoRR abs/2009.10303 (2020)
2010 – 2019
- 2019
- [j3]Kathrin Smetana
Randomized Residual-Based Error Estimators for Parametrized Equations. SIAM J. Sci. Comput. 41(2): A900-A926 (2019) - [i1]Kathrin Smetana, Olivier Zahm
Randomized residual-based error estimators for the Proper Generalized Decomposition approximation of parametrized problems. CoRR abs/1910.11837 (2019) - 2017
- [j2]Olivier Zahm
Projection-Based Model Order Reduction Methods for the Estimation of Vector-Valued Variables of Interest. SIAM J. Sci. Comput. 39(4) (2017) - 2016
- [j1]Olivier Zahm
Interpolation of Inverse Operators for Preconditioning Parameter-Dependent Equations. SIAM J. Sci. Comput. 38(2) (2016)
Coauthor Index
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