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ORCIDYoussef M. Marzouk
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- affiliation (PhD): Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, Cambridge, MA USA
Other persons with a similar name
- Youssef Marzouk
- Youssef Marzouk 0001 — École des Mines de Saint-Étienne, France
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2020 – today
- 2025
[j51]Aimee Maurais
, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk:
Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices. SIAM J. Math. Data Sci. 7(1): 189-223 (2025)- 2024
- [j50]Xun Huan, Jayanth Jagalur, Youssef M. Marzouk:
Optimal experimental design: Formulations and computations. Acta Numer. 33: 715-840 (2024) - [j49]Ricardo Baptista, Youssef M. Marzouk, Olivier Zahm:
On the Representation and Learning of Monotone Triangular Transport Maps. Found. Comput. Math. 24(6): 2063-2108 (2024) - [j48]Ricardo Baptista, Lianghao Cao, Joshua Chen, Omar Ghattas, Fengyi Li, Youssef M. Marzouk, J. Tinsley Oden:
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport. J. Comput. Phys. 503: 112844 (2024) - [j47]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) - [j46]Youssef M. Marzouk, Zhi (Robert) Ren, Sven Wang, Jakob Zech:
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective. J. Mach. Learn. Res. 25: 232:1-232:61 (2024) - [j45]Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk:
Conditional Sampling with Monotone GANs: From Generative Models to Likelihood-Free Inference. SIAM/ASA J. Uncertain. Quantification 12(3): 868-900 (2024) - [j44]Kelvin M. Leung, David R. Thompson, Jouni Susiluoto, Jayanth Jagalur, Amy Braverman, Youssef M. Marzouk:
Evaluating the Accuracy of Gaussian Approximations in VSWIR Imaging Spectroscopy Retrievals. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [c14]Nisha Chandramoorthy, Florian T. Schaefer, Youssef M. Marzouk:
Score Operator Newton transport. AISTATS 2024: 3349-3357 - [c13]Aimee Maurais, Youssef M. Marzouk:
Sampling in Unit Time with Kernel Fisher-Rao Flow. ICML 2024 - [i36]Aimee Maurais, Youssef M. Marzouk:
Sampling in Unit Time with Kernel Fisher-Rao Flow. CoRR abs/2401.03892 (2024) - [i35]Georg A. Gottwald, Fengyi Li, Youssef M. Marzouk, Sebastian Reich:
Stable generative modeling using diffusion maps. CoRR abs/2401.04372 (2024) - [i34]Fengyi Li, Ayoub Belhadji, Youssef M. Marzouk:
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities. CoRR abs/2402.15053 (2024) - [i33]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) - [i32]Xun Huan, Jayanth Jagalur, Youssef M. Marzouk:
Optimal experimental design: Formulations and computations. CoRR abs/2407.16212 (2024) - [i31]Ayoub Belhadji, Qianyu Julie Zhu, Youssef M. Marzouk:
On the design of scalable, high-precision spherical-radial Fourier features. CoRR abs/2408.13231 (2024) - [i30]Ricardo Baptista, Michael Brennan, Youssef M. Marzouk:
Dimension reduction via score ratio matching. CoRR abs/2410.19990 (2024) - [i29]Ricardo Baptista, Aram-Alexandre Pooladian, Michael Brennan, Youssef M. Marzouk, Jonathan Niles-Weed:
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps. CoRR abs/2411.07154 (2024) - [i28]Lianghao Cao, Joshua Chen, Michael Brennan, Thomas O'Leary-Roseberry, Youssef M. Marzouk, Omar Ghattas:
LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport. CoRR abs/2411.12726 (2024) - 2023
- [j43]Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk:
Ensemble transport smoothing. Part II: Nonlinear updates. J. Comput. Phys. X 17: 100133 (2023) - [j42]Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk:
Ensemble transport smoothing. Part I: Unified framework. J. Comput. Phys. X 17: 100134 (2023) - [j41]Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini:
Computing f -divergences and distances of high-dimensional probability density functions. Numer. Linear Algebra Appl. 30(3) (2023) - [j40]Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra:
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. ACM Trans. Math. Softw. 49(2): 17:1-17:31 (2023) - [c12]Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk:
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry. ICML 2023: 24214-24235 - [i27]Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk:
Multi-fidelity covariance estimation in the log-Euclidean geometry. CoRR abs/2301.13749 (2023) - [i26]Jakiw Pidstrigach, Youssef M. Marzouk, Sebastian Reich, Sven Wang:
Infinite-Dimensional Diffusion Models for Function Spaces. CoRR abs/2302.10130 (2023) - [i25]Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk, Amir Sagiv:
An Approximation Theory Framework for Measure-Transport Sampling Algorithms. CoRR abs/2302.13965 (2023) - [i24]Fengyi Li, Youssef M. Marzouk:
Diffusion map particle systems for generative modeling. CoRR abs/2304.00200 (2023) - [i23]Nisha Chandramoorthy, Florian T. Schaefer, Youssef M. Marzouk:
A score-based operator Newton method for measure transport. CoRR abs/2305.09792 (2023) - [i22]Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk:
Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices. CoRR abs/2307.12438 (2023) - [i21]Paul-Baptiste Rubio, Youssef M. Marzouk, Matthew D. Parno:
A transport approach to sequential simulation-based inference. CoRR abs/2308.13940 (2023) - [i20]Youssef M. Marzouk, Zhi Ren, Sven Wang, Jakob Zech:
Distribution learning via neural differential equations: a nonparametric statistical perspective. CoRR abs/2309.01043 (2023) - [i19]Zheyu Oliver Wang, Ricardo Baptista, Youssef M. Marzouk, Lars Ruthotto, Deepanshu Verma:
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. CoRR abs/2310.16975 (2023) - 2022
- [j39]Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk:
A Koopman framework for rare event simulation in stochastic differential equations. J. Comput. Phys. 456: 111025 (2022) - [j38]Matthew D. Parno, Paul-Baptiste Rubio, Daniel Sharp, Michael Brennan, Ricardo Baptista, Henning Bonart, Youssef M. Marzouk:
MParT: Monotone Parameterization Toolkit. J. Open Source Softw. 7(80): 4843 (2022) - [j37]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): 1789-1835 (2022) - [j36]Andrew D. Davis, Youssef M. Marzouk, Aaron Smith, Natesh S. Pillai:
Rate-optimal refinement strategies for local approximation MCMC. Stat. Comput. 32(4): 60 (2022) - [j35]Benjamin J. Zhang, Youssef M. Marzouk, Konstantinos Spiliopoulos:
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics. Stat. Comput. 32(5): 78 (2022) - 2021
- [j34]Jayanth Jagalur-Mohan, Youssef M. Marzouk:
Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design. J. Mach. Learn. Res. 22: 252:1-252:62 (2021) - [j33]Felipe Uribe, Iason Papaioannou, Youssef M. Marzouk, Daniel Straub:
Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation. SIAM/ASA J. Uncertain. Quantification 9(2): 818-847 (2021) - [j32]Antoni Musolas, Steven T. Smith, Youssef M. Marzouk:
Geodesically Parameterized Covariance Estimation. SIAM J. Matrix Anal. Appl. 42(2): 528-556 (2021) - [i18]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) - [i17]Daniele Bigoni, Youssef M. Marzouk, Clémentine Prieur, Olivier Zahm:
Nonlinear dimension reduction for surrogate modeling using gradient information. CoRR abs/2102.10351 (2021) - [i16]Jakob Zech, Youssef M. Marzouk:
Sparse approximation of triangular transports. Part II: the infinite dimensional case. CoRR abs/2107.13422 (2021) - [i15]Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk:
Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator. CoRR abs/2110.09229 (2021) - [i14]Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini:
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions - Low-Rank Tensor Approximations. CoRR abs/2111.07164 (2021) - [i13]Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra:
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. CoRR abs/2112.00713 (2021) - 2020
- [j31]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): A534-A558 (2020) - [j30]Johnathan M. Bardsley, Tiangang Cui, Youssef M. Marzouk, Zheng Wang:
Scalable Optimization-Based Sampling on Function Space. SIAM J. Sci. Comput. 42(2): A1317-A1347 (2020) - [j29]Rémi R. Lam, Olivier Zahm, Youssef M. Marzouk, Karen E. Willcox:
Multifidelity Dimension Reduction via Active Subspaces. SIAM J. Sci. Comput. 42(2): A929-A956 (2020) - [j28]Xin T. Tong, Matthias Morzfeld, Youssef M. Marzouk:
MALA-within-Gibbs Samplers for High-Dimensional Distributions with Sparse Conditional Structure. SIAM J. Sci. Comput. 42(3): A1765-A1788 (2020) - [c11]Michael Brennan, Daniele Bigoni, Olivier Zahm, Alessio Spantini, Youssef M. Marzouk:
Greedy inference with structure-exploiting lazy maps. NeurIPS 2020 - [i12]Daniele Bigoni, Yuming Chen, Nicolás García Trillos, Youssef M. Marzouk, Daniel Sanz-Alonso:
Data-Driven Forward Discretizations for Bayesian Inversion. CoRR abs/2003.07991 (2020) - [i11]Jayanth Jagalur-Mohan, Youssef M. Marzouk:
Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design. CoRR abs/2006.04554 (2020) - [i10]Nikola B. Kovachki, Ricardo Baptista, Bamdad Hosseini, Youssef M. Marzouk:
Conditional Sampling With Monotone GANs. CoRR abs/2006.06755 (2020) - [i9]Jakob Zech, Youssef M. Marzouk:
Sparse approximation of triangular transports on bounded domains. CoRR abs/2006.06994 (2020) - [i8]Ricardo Baptista, Olivier Zahm, Youssef M. Marzouk:
An adaptive transport framework for joint and conditional density estimation. CoRR abs/2009.10303 (2020)
2010 – 2019
- 2019
- [j27]Benjamin Peherstorfer, Youssef M. Marzouk:
A transport-based multifidelity preconditioner for Markov chain Monte Carlo. Adv. Comput. Math. 45(5): 2321-2348 (2019) - [j26]Matthias Morzfeld, Xin T. Tong, Youssef M. Marzouk:
Localization for MCMC: sampling high-dimensional posterior distributions with local structure. J. Comput. Phys. 380: 1-28 (2019) - 2018
- [j25]Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk:
High-dimensional stochastic optimal control using continuous tensor decompositions. Int. J. Robotics Res. 37(2-3): 340-377 (2018) - [j24]Alessio Spantini, Daniele Bigoni, Youssef M. Marzouk:
Inference via Low-Dimensional Couplings. J. Mach. Learn. Res. 19: 66:1-66:71 (2018) - [j23]Patrick R. Conrad, Andrew D. Davis, Youssef M. Marzouk, Natesh S. Pillai, Aaron Smith:
Parallel Local Approximation MCMC for Expensive Models. SIAM/ASA J. Uncertain. Quantification 6(1): 339-373 (2018) - [j22]Matthew D. Parno, Youssef M. Marzouk:
Transport Map Accelerated Markov Chain Monte Carlo. SIAM/ASA J. Uncertain. Quantification 6(2): 645-682 (2018) - [j21]Alexandros Beskos, Ajay Jasra, Kody J. H. Law, Youssef M. Marzouk, Yan Zhou:
Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals. SIAM/ASA J. Uncertain. Quantification 6(2): 762-786 (2018) - [j20]Reza Mohammadi-Ghazi, Youssef M. Marzouk, Oral Büyüköztürk:
Conditional classifiers and boosted conditional Gaussian mixture model for novelty detection. Pattern Recognit. 81: 601-614 (2018) - [c10]Gianluca Detommaso, Tiangang Cui, Youssef M. Marzouk, Alessio Spantini, Robert Scheichl:
A Stein variational Newton method. NeurIPS 2018: 9187-9197 - [i7]Gianluca Detommaso, Tiangang Cui, Youssef M. Marzouk, Robert Scheichl, Alessio Spantini:
A Stein variational Newton method. CoRR abs/1806.03085 (2018) - 2017
- [j19]Alessio Spantini, Tiangang Cui, Karen Willcox, Luis Tenorio, Youssef M. Marzouk:
Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems. SIAM J. Sci. Comput. 39(5) (2017) - [j18]Zheng Wang, Johnathan M. Bardsley, Antti Solonen, Tiangang Cui, Youssef M. Marzouk:
Bayesian Inverse Problems with l1 Priors: A Randomize-Then-Optimize Approach. SIAM J. Sci. Comput. 39(5) (2017) - [c9]Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk:
Low-rank tensor integration for Gaussian filtering of continuous time nonlinear systems. CDC 2017: 2789-2794 - [c8]Pierre-Yves Gousenbourger, Estelle M. Massart, Antoni Musolas, Pierre-Antoine Absil, Julien M. Hendrickx, Laurent Jacques, Youssef M. Marzouk:
Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation. ESANN 2017 - [c7]Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk:
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. NIPS 2017: 2359-2369 - [i6]Nikhil Galagali, Youssef M. Marzouk:
Exploiting network topology for large-scale inference of nonlinear reaction models. CoRR abs/1705.04678 (2017) - [i5]Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk:
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. CoRR abs/1711.00950 (2017) - 2016
- [j17]Tiangang Cui, Kody J. H. Law, Youssef M. Marzouk:
Dimension-independent likelihood-informed MCMC. J. Comput. Phys. 304: 109-137 (2016) - [j16]Tiangang Cui, Youssef M. Marzouk, Karen Willcox:
Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction. J. Comput. Phys. 315: 363-387 (2016) - [j15]Alex A. Gorodetsky, Youssef M. Marzouk:
Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation. SIAM/ASA J. Uncertain. Quantification 4(1): 796-828 (2016) - [j14]Matthew D. Parno, Tarek A. El-Moselhy, Youssef M. Marzouk:
A Multiscale Strategy for Bayesian Inference Using Transport Maps. SIAM/ASA J. Uncertain. Quantification 4(1): 1160-1190 (2016) - [j13]Daniele Bigoni, Allan Peter Engsig-Karup, Youssef M. Marzouk:
Spectral Tensor-Train Decomposition. SIAM J. Sci. Comput. 38(4) (2016) - [c6]John Irvin Alora, Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk, Nathan Lowry:
Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions. CDC 2016: 1131-1138 - [i4]Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk:
High-Dimensional Stochastic Optimal Control using Continuous Tensor Decompositions. CoRR abs/1611.04706 (2016) - 2015
- [j12]Alessio Spantini, Antti Solonen, Tiangang Cui, James Martin, Luis Tenorio, Youssef M. Marzouk:
Optimal Low-rank Approximations of Bayesian Linear Inverse Problems. SIAM J. Sci. Comput. 37(6) (2015) - [c5]Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk:
Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition. Robotics: Science and Systems 2015 - [i3]Alex A. Gorodetsky, Youssef M. Marzouk:
Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation. CoRR abs/1503.00021 (2015) - 2014
- [j11]Jinglai Li, Youssef M. Marzouk:
Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems. SIAM J. Sci. Comput. 36(3) (2014) - [j10]Alex A. Gorodetsky, Youssef M. Marzouk:
Efficient Localization of Discontinuities in Complex Computational Simulations. SIAM J. Sci. Comput. 36(6) (2014) - [c4]Mohamad E. Gharamti, Youssef M. Marzouk, Xun Huan, Ibrahim Hoteit:
A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework. DyDESS 2014: 301-309 - [i2]Alex A. Gorodetsky, Youssef M. Marzouk:
Efficient Localization of Discontinuities in Complex Computational Simulations. CoRR abs/1402.2845 (2014) - 2013
- [j9]Xun Huan, Youssef M. Marzouk:
Simulation-based optimal Bayesian experimental design for nonlinear systems. J. Comput. Phys. 232(1): 288-317 (2013) - [j8]Patrick R. Conrad, Youssef M. Marzouk:
Adaptive Smolyak Pseudospectral Approximations. SIAM J. Sci. Comput. 35(6) (2013) - 2012
- [j7]Robert D. Berry, Habib N. Najm, Bert J. Debusschere, Youssef M. Marzouk, Helgi Adalsteinsson:
Data-free inference of the joint distribution of uncertain model parameters. J. Comput. Phys. 231(5): 2180-2198 (2012) - [j6]Akil Narayan, Youssef M. Marzouk, Dongbin Xiu:
Sequential data assimilation with multiple models. J. Comput. Phys. 231(19): 6401-6418 (2012) - [j5]Tarek A. El-Moselhy, Youssef M. Marzouk:
Bayesian inference with optimal maps. J. Comput. Phys. 231(23): 7815-7850 (2012) - [c3]Nathan Lowry, Rami Mangoubi, Mukund Desai, Youssef M. Marzouk, Paul Sammak:
Texton-based segmentation and classification of human embryonic stem cell colonies using multi-stage Bayesian level sets. ISBI 2012: 194-197 - [i1]Patrick R. Conrad, Youssef M. Marzouk:
Adaptive Smolyak Pseudospectral Approximations. CoRR abs/1209.1406 (2012) - 2011
- [j4]Francesco Rizzi, Maher Salloum, Youssef M. Marzouk, R.-G. Xu, Michael L. Falk, T. P. Weihs, G. Fritz, Omar M. Knio:
Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics. Multiscale Model. Simul. 9(1): 486-512 (2011) - [c2]Nathan Lowry, Rami Mangoubi, Mukund Desai, Youssef M. Marzouk, Paul Sammak:
A unified approach to expectation-maximization and level set segmentation applied to stem cell and brain MRI images. ISBI 2011: 1446-1450
2000 – 2009
- 2009
- [j3]Youssef M. Marzouk, Habib N. Najm:
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems. J. Comput. Phys. 228(6): 1862-1902 (2009) - [j2]Daehyun Wee, Youssef M. Marzouk, Fabrice Schlegel, Ahmed F. Ghoniem:
Convergence Characteristics and Computational Cost of Two Algebraic Kernels in Vortex Methods with a Tree-Code Algorithm. SIAM J. Sci. Comput. 31(4): 2510-2527 (2009) - 2007
- [j1]Youssef M. Marzouk, Habib N. Najm, Larry A. Rahn:
Stochastic spectral methods for efficient Bayesian solution of inverse problems. J. Comput. Phys. 224(2): 560-586 (2007) - 2005
- [c1]Jim M. Brandt, Ann C. Gentile, Youssef M. Marzouk, Philippe P. Pébay:
Meaningful Automated Statistical Analysis of Large Computational Clusters. CLUSTER 2005: 1-2
Coauthor Index
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