Youssef M. Marzouk

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 71

Top Topics

Bayesian Inference

Experimental Design

Dimension Reduction

Top Venues

SIAM J. Sci. Comput.

SIAM/ASA J. Uncertain. Quantification

J. Comput. Phys.

Publications

Xun Huan, Jayanth Jagalur, Youssef M. Marzouk
Optimal experimental design: Formulations and computations. CoRR (2024)
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 (2024)
Nisha Chandramoorthy, Florian T. Schaefer, Youssef M. Marzouk
Score Operator Newton transport. AISTATS (2024)
Aimee Maurais, Youssef M. Marzouk
Sampling in Unit Time with Kernel Fisher-Rao Flow. CoRR (2024)
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 (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)
Fengyi Li, Ayoub Belhadji, Youssef M. Marzouk
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities. CoRR (2024)
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) (2023)
Youssef M. Marzouk, Zhi Ren, Sven Wang, Jakob Zech
Distribution learning via neural differential equations: a nonparametric statistical perspective. CoRR (2023)
Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk
Ensemble transport smoothing. Part II: Nonlinear updates. J. Comput. Phys. X 17 (2023)
Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk
Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices. CoRR (2023)
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)
Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk
Ensemble transport smoothing. Part I: Unified framework. J. Comput. Phys. X 17 (2023)
Nisha Chandramoorthy, Florian Schaefer, Youssef M. Marzouk
A score-based operator Newton method for measure transport. CoRR (2023)
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 (2023)
Jakiw Pidstrigach, Youssef M. Marzouk, Sebastian Reich, Sven Wang
Infinite-Dimensional Diffusion Models for Function Spaces. CoRR (2023)
Paul-Baptiste Rubio, Youssef M. Marzouk, Matthew D. Parno
A transport approach to sequential simulation-based inference. CoRR (2023)
Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk, Amir Sagiv
An Approximation Theory Framework for Measure-Transport Sampling Algorithms. CoRR (2023)
Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk
Multi-fidelity covariance estimation in the log-Euclidean geometry. CoRR (2023)
Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry. ICML (2023)
Fengyi Li, Youssef M. Marzouk
Diffusion map particle systems for generative modeling. 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)
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) (2022)
Andrew D. Davis, Youssef M. Marzouk, Aaron Smith, Natesh S. Pillai
Rate-optimal refinement strategies for local approximation MCMC. Stat. Comput. 32 (4) (2022)
Benjamin J. Zhang, Youssef M. Marzouk, Konstantinos Spiliopoulos
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics. Stat. Comput. 32 (5) (2022)
Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk
A Koopman framework for rare event simulation in stochastic differential equations. J. Comput. Phys. 456 (2022)
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 (2021)
Jakob Zech, Youssef M. Marzouk
Sparse approximation of triangular transports. Part II: the infinite dimensional case. CoRR (2021)
Antoni Musolas, Steven T. Smith, Youssef M. Marzouk
Geodesically Parameterized Covariance Estimation. SIAM J. Matrix Anal. Appl. 42 (2) (2021)
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) (2021)
Daniele Bigoni, Youssef M. Marzouk, Clémentine Prieur, Olivier Zahm
Nonlinear dimension reduction for surrogate modeling using gradient information. CoRR (2021)
Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk
Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator. 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)
Jayanth Jagalur-Mohan, Youssef M. Marzouk
Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design. J. Mach. Learn. Res. 22 (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)
Nikola B. Kovachki, Ricardo Baptista, Bamdad Hosseini, Youssef M. Marzouk
Conditional Sampling With Monotone GANs. 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)
Johnathan M. Bardsley, Tiangang Cui, Youssef M. Marzouk, Zheng Wang
Scalable Optimization-Based Sampling on Function Space. 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)
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) (2020)
Jayanth Jagalur-Mohan, Youssef M. Marzouk
Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design. CoRR (2020)
Jakob Zech, Youssef M. Marzouk
Sparse approximation of triangular transports on bounded domains. CoRR (2020)
Daniele Bigoni, Yuming Chen, Nicolás García Trillos, Youssef M. Marzouk, Daniel Sanz-Alonso
Data-Driven Forward Discretizations for Bayesian Inversion. CoRR (2020)
Matthias Morzfeld, Xin T. Tong, Youssef M. Marzouk
Localization for MCMC: sampling high-dimensional posterior distributions with local structure. J. Comput. Phys. 380 (2019)
Benjamin Peherstorfer, Youssef M. Marzouk
A transport-based multifidelity preconditioner for Markov chain Monte Carlo. Adv. Comput. Math. 45 (5) (2019)
Reza Mohammadi-Ghazi, Youssef M. Marzouk, Oral Büyüköztürk
Conditional classifiers and boosted conditional Gaussian mixture model for novelty detection. Pattern Recognit. 81 (2018)
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) (2018)
Gianluca Detommaso, Tiangang Cui, Youssef M. Marzouk, Alessio Spantini, Robert Scheichl
A Stein variational Newton method. NeurIPS (2018)
Matthew D. Parno, Youssef M. Marzouk
Transport Map Accelerated Markov Chain Monte Carlo. SIAM/ASA J. Uncertain. Quantification 6 (2) (2018)
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
High-dimensional stochastic optimal control using continuous tensor decompositions. Int. J. Robotics Res. 37 (2-3) (2018)
Alessio Spantini, Daniele Bigoni, Youssef M. Marzouk
Inference via Low-Dimensional Couplings. J. Mach. Learn. Res. 19 (2018)
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) (2018)
Gianluca Detommaso, Tiangang Cui, Youssef M. Marzouk, Robert Scheichl, Alessio Spantini
A Stein variational Newton method. CoRR (2018)
Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. CoRR (2017)
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)
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)
Nikhil Galagali, Youssef M. Marzouk
Exploiting network topology for large-scale inference of nonlinear reaction models. CoRR (2017)
Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. NIPS (2017)
Zheng Wang, Johnathan M. Bardsley, Antti Solonen, Tiangang Cui, Youssef M. Marzouk
Priors: A Randomize-Then-Optimize Approach. SIAM J. Sci. Comput. 39 (5) (2017)
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
Low-rank tensor integration for Gaussian filtering of continuous time nonlinear systems. CDC (2017)
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)
Daniele Bigoni, Allan Peter Engsig-Karup, Youssef M. Marzouk
Spectral Tensor-Train Decomposition. SIAM J. Sci. Comput. 38 (4) (2016)
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) (2016)
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
High-Dimensional Stochastic Optimal Control using Continuous Tensor Decompositions. CoRR (2016)
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) (2016)
Tiangang Cui, Kody J. H. Law, Youssef M. Marzouk
Dimension-independent likelihood-informed MCMC. J. Comput. Phys. 304 (2016)
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 (2016)
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)
Alex A. Gorodetsky, Youssef M. Marzouk
Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation. CoRR (2015)
Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition. Robotics: Science and Systems (2015)
Alex A. Gorodetsky, Youssef M. Marzouk
Efficient Localization of Discontinuities in Complex Computational Simulations. SIAM J. Sci. Comput. 36 (6) (2014)
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)
Jinglai Li, Youssef M. Marzouk
Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems. SIAM J. Sci. Comput. 36 (3) (2014)
Alex A. Gorodetsky, Youssef M. Marzouk
Efficient Localization of Discontinuities in Complex Computational Simulations. CoRR (2014)
Xun Huan, Youssef M. Marzouk
Simulation-based optimal Bayesian experimental design for nonlinear systems. J. Comput. Phys. 232 (1) (2013)
Patrick R. Conrad, Youssef M. Marzouk
Adaptive Smolyak Pseudospectral Approximations. SIAM J. Sci. Comput. 35 (6) (2013)
Akil Narayan, Youssef M. Marzouk, Dongbin Xiu
Sequential data assimilation with multiple models. J. Comput. Phys. 231 (19) (2012)
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)
Patrick R. Conrad, Youssef M. Marzouk
Adaptive Smolyak Pseudospectral Approximations CoRR (2012)
Tarek A. El-Moselhy, Youssef M. Marzouk
Bayesian inference with optimal maps. J. Comput. Phys. 231 (23) (2012)
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) (2012)
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)
Youssef M. Marzouk, Habib N. Najm
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems. J. Comput. Phys. 228 (6) (2009)
Youssef M. Marzouk, Habib N. Najm, Larry A. Rahn
Stochastic spectral methods for efficient Bayesian solution of inverse problems. J. Comput. Phys. 224 (2) (2007)