Meaningful Automated Statistical Analysis of Large Computational Clusters. - Jim M. Brandt; Ann C. Gentile; Youssef M. Marzouk; Philippe P. Pébay (CLUSTER, 2005)

Stochastic spectral methods for efficient Bayesian solution of inverse problems. - Youssef M. Marzouk; Habib N. Najm; Larry A. Rahn (J. Comput. Phys., 2007)

Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems. - Youssef M. Marzouk; Habib N. Najm (J. Comput. Phys., 2009)

Convergence Characteristics and Computational Cost of Two Algebraic Kernels in Vortex Methods with a Tree-Code Algorithm. - Daehyun Wee; Youssef M. Marzouk; Fabrice Schlegel; Ahmed F. Ghoniem (SIAM J. Sci. Comput., 2009)

A unified approach to expectation-maximization and level set segmentation applied to stem cell and brain MRI images. - Nathan Lowry; Rami Mangoubi; Mukund Desai; Youssef M. Marzouk; Paul Sammak (ISBI, 2011)

Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics. - Francesco Rizzi; Maher Salloum; Youssef M. Marzouk; R.-G. Xu; Michael L. Falk; T. P. Weihs; G. Fritz; Omar M. Knio (Multiscale Model. Simul., 2011)

Texton-based segmentation and classification of human embryonic stem cell colonies using multi-stage Bayesian level sets. - Nathan Lowry; Rami Mangoubi; Mukund Desai; Youssef M. Marzouk; Paul Sammak (ISBI, 2012)

Data-free inference of the joint distribution of uncertain model parameters. - Robert D. Berry; Habib N. Najm; Bert J. Debusschere; Youssef M. Marzouk; Helgi Adalsteinsson (J. Comput. Phys., 2012)

Bayesian inference with optimal maps. - Tarek A. El-Moselhy; Youssef M. Marzouk (J. Comput. Phys., 2012)

Sequential data assimilation with multiple models. - Akil Narayan 001; Youssef M. Marzouk; Dongbin Xiu (J. Comput. Phys., 2012)

Simulation-based optimal Bayesian experimental design for nonlinear systems. - Xun Huan; Youssef M. Marzouk (J. Comput. Phys., 2013)

Adaptive Smolyak Pseudospectral Approximations. - Patrick R. Conrad; Youssef M. Marzouk (SIAM J. Sci. Comput., 2013)

A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework. - Mohamad E. Gharamti; Youssef M. Marzouk; Xun Huan; Ibrahim Hoteit (DyDESS, 2014)

Efficient Localization of Discontinuities in Complex Computational Simulations. - Alex A. Gorodetsky; Youssef M. Marzouk (SIAM J. Sci. Comput., 2014)

Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems. - Jinglai Li; Youssef M. Marzouk (SIAM J. Sci. Comput., 2014)

Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition. - Alex A. Gorodetsky; Sertac Karaman; Youssef M. Marzouk (Robotics: Science and Systems, 2015)

Optimal Low-rank Approximations of Bayesian Linear Inverse Problems. - Alessio Spantini; Antti Solonen; Tiangang Cui; James Martin; Luis Tenorio; Youssef M. Marzouk (SIAM J. Sci. Comput., 2015)

Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions. - John Irvin Alora; Alex A. Gorodetsky; Sertac Karaman; Youssef M. Marzouk; Nathan Lowry (CDC, 2016)

Dimension-independent likelihood-informed MCMC. - Tiangang Cui; Kody J. H. Law; Youssef M. Marzouk (J. Comput. Phys., 2016)

Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction. - Tiangang Cui; Youssef M. Marzouk; Karen Willcox (J. Comput. Phys., 2016)

Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation. - Alex A. Gorodetsky; Youssef M. Marzouk (SIAM/ASA J. Uncertain. Quantification, 2016)

A Multiscale Strategy for Bayesian Inference Using Transport Maps. - Matthew D. Parno; Tarek A. El-Moselhy; Youssef M. Marzouk (SIAM/ASA J. Uncertain. Quantification, 2016)

Spectral Tensor-Train Decomposition. - Daniele Bigoni; Allan Peter Engsig-Karup; Youssef M. Marzouk (SIAM J. Sci. Comput., 2016)

Low-rank tensor integration for Gaussian filtering of continuous time nonlinear systems. - Alex A. Gorodetsky; Sertac Karaman; Youssef M. Marzouk (CDC, 2017)

Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation. - Pierre-Yves Gousenbourger; Estelle M. Massart; Antoni Musolas; Pierre-Antoine Absil; Julien M. Hendrickx; Laurent Jacques; Youssef M. Marzouk (ESANN, 2017)

Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. - Rebecca E. Morrison; Ricardo Baptista; Youssef M. Marzouk (NIPS, 2017)

Exploiting network topology for large-scale inference of nonlinear reaction models. - Nikhil Galagali; Youssef M. Marzouk (CoRR, 2017)

Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems. - Alessio Spantini; Tiangang Cui; Karen Willcox; Luis Tenorio; Youssef M. Marzouk (SIAM J. Sci. Comput., 2017)

Bayesian Inverse Problems with l1 Priors: A Randomize-Then-Optimize Approach. - Zheng Wang; Johnathan M. Bardsley; Antti Solonen; Tiangang Cui; Youssef M. Marzouk (SIAM J. Sci. Comput., 2017)

A Stein variational Newton method. - Gianluca Detommaso; Tiangang Cui; Youssef M. Marzouk; Alessio Spantini; Robert Scheichl (NeurIPS, 2018)

High-dimensional stochastic optimal control using continuous tensor decompositions. - Alex A. Gorodetsky; Sertac Karaman; Youssef M. Marzouk (Int. J. Robotics Res., 2018)

Inference via Low-Dimensional Couplings. - Alessio Spantini; Daniele Bigoni; Youssef M. Marzouk (J. Mach. Learn. Res., 2018)

Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals. - Alexandros Beskos; Ajay Jasra; Kody J. H. Law; Youssef M. Marzouk; Yan Zhou (SIAM/ASA J. Uncertain. Quantification, 2018)

Parallel Local Approximation MCMC for Expensive Models. - Patrick R. Conrad; Andrew D. Davis; Youssef M. Marzouk; Natesh S. Pillai; Aaron Smith (SIAM/ASA J. Uncertain. Quantification, 2018)

Transport Map Accelerated Markov Chain Monte Carlo. - Matthew D. Parno; Youssef M. Marzouk (SIAM/ASA J. Uncertain. Quantification, 2018)

Conditional classifiers and boosted conditional Gaussian mixture model for novelty detection. - Reza Mohammadi-Ghazi; Youssef M. Marzouk; Oral Büyüköztürk (Pattern Recognit., 2018)

A transport-based multifidelity preconditioner for Markov chain Monte Carlo. - Benjamin Peherstorfer; Youssef M. Marzouk (Adv. Comput. Math., 2019)

Localization for MCMC: sampling high-dimensional posterior distributions with local structure. - Matthias Morzfeld; Xin T. Tong; Youssef M. Marzouk (J. Comput. Phys., 2019)

Greedy inference with structure-exploiting lazy maps. - Michael Brennan; Daniele Bigoni; Olivier Zahm; Alessio Spantini; Youssef M. Marzouk (NeurIPS, 2020)

Data-Driven Forward Discretizations for Bayesian Inversion. - Daniele Bigoni; Yuming Chen; Nicolás García Trillos; Youssef M. Marzouk; Daniel Sanz-Alonso (CoRR, 2020)

Conditional Sampling With Monotone GANs. - Nikola B. Kovachki; Ricardo Baptista; Bamdad Hosseini; Youssef M. Marzouk (CoRR, 2020)

Sparse approximation of triangular transports on bounded domains. - Jakob Zech; Youssef M. Marzouk (CoRR, 2020)

An adaptive transport framework for joint and conditional density estimation. - Ricardo Baptista; Olivier Zahm; Youssef M. Marzouk (CoRR, 2020)

Scalable Optimization-Based Sampling on Function Space. - Johnathan M. Bardsley; Tiangang Cui; Youssef M. Marzouk; Zheng Wang (SIAM J. Sci. Comput., 2020)

Multifidelity Dimension Reduction via Active Subspaces. - Rémi R. Lam; Olivier Zahm; Youssef M. Marzouk; Karen E. Willcox (SIAM J. Sci. Comput., 2020)

MALA-within-Gibbs Samplers for High-Dimensional Distributions with Sparse Conditional Structure. - Xin T. Tong; Matthias Morzfeld; Youssef M. Marzouk (SIAM J. Sci. Comput., 2020)

Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions. - Olivier Zahm; Paul G. Constantine; Clémentine Prieur; Youssef M. Marzouk (SIAM J. Sci. Comput., 2020)

Nonlinear dimension reduction for surrogate modeling using gradient information. - Daniele Bigoni; Youssef M. Marzouk; Clémentine Prieur; Olivier Zahm (CoRR, 2021)

Sparse approximation of triangular transports. Part II: the infinite dimensional case. - Jakob Zech; Youssef M. Marzouk (CoRR, 2021)

Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator. - Benjamin J. Zhang; Tuhin Sahai; Youssef M. Marzouk (CoRR, 2021)

Computing f-Divergences and Distances of High-Dimensional Probability Density Functions - Low-Rank Tensor Approximations. - Alexander Litvinenko; Youssef M. Marzouk; Hermann G. Matthies; Marco Scavino; Alessio Spantini (CoRR, 2021)

Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design. - Jayanth Jagalur-Mohan; Youssef M. Marzouk (J. Mach. Learn. Res., 2021)

Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation. - Felipe Uribe; Iason Papaioannou; Youssef M. Marzouk; Daniel Straub (SIAM/ASA J. Uncertain. Quantification, 2021)

Geodesically Parameterized Covariance Estimation. - Antoni Musolas; Steven T. Smith; Youssef M. Marzouk (SIAM J. Matrix Anal. Appl., 2021)

A Koopman framework for rare event simulation in stochastic differential equations. - Benjamin J. Zhang; Tuhin Sahai; Youssef M. Marzouk (J. Comput. Phys., 2022)

Certified dimension reduction in nonlinear Bayesian inverse problems. - Olivier Zahm; Tiangang Cui; Kody J. H. Law; Alessio Spantini; Youssef M. Marzouk (Math. Comput., 2022)

Rate-optimal refinement strategies for local approximation MCMC. - Andrew D. Davis; Youssef M. Marzouk; Aaron Smith; Natesh S. Pillai (Stat. Comput., 2022)

Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics. - Benjamin J. Zhang; Youssef M. Marzouk; Konstantinos Spiliopoulos (Stat. Comput., 2022)

MParT: Monotone Parameterization Toolkit. - Matthew D. Parno; Paul-Baptiste Rubio; Daniel Sharp; Michael Brennan; Ricardo Baptista; Henning Bonart; Youssef M. Marzouk (J. Open Source Softw., 2022)

Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry. - Aimee Maurais; Terrence Alsup; Benjamin Peherstorfer; Youssef M. Marzouk (ICML, 2023)

Infinite-Dimensional Diffusion Models for Function Spaces. - Jakiw Pidstrigach; Youssef M. Marzouk; Sebastian Reich; Sven Wang (CoRR, 2023)

Diffusion map particle systems for generative modeling. - Fengyi Li; Youssef M. Marzouk (CoRR, 2023)

A score-based operator Newton method for measure transport. - Nisha Chandramoorthy; Florian T. Schaefer; Youssef M. Marzouk (CoRR, 2023)

A transport approach to sequential simulation-based inference. - Paul-Baptiste Rubio; Youssef M. Marzouk; Matthew D. Parno (CoRR, 2023)

Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. - Zheyu Oliver Wang; Ricardo Baptista; Youssef M. Marzouk; Lars Ruthotto; Deepanshu Verma (CoRR, 2023)

Computing f -divergences and distances of high-dimensional probability density functions. - Alexander Litvinenko; Youssef M. Marzouk; Hermann G. Matthies; Marco Scavino; Alessio Spantini (Numer. Linear Algebra Appl., 2023)

hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. - Ki-Tae Kim; Umberto Villa; Matthew D. Parno; Youssef M. Marzouk; Omar Ghattas; Noemi Petra (ACM Trans. Math. Softw., 2023)

Ensemble transport smoothing. Part II: Nonlinear updates. - Maximilian Ramgraber; Ricardo Baptista; Dennis McLaughlin; Youssef M. Marzouk (J. Comput. Phys. X, 2023)

Ensemble transport smoothing. Part I: Unified framework. - Maximilian Ramgraber; Ricardo Baptista; Dennis McLaughlin; Youssef M. Marzouk (J. Comput. Phys. X, 2023)

Score Operator Newton transport. - Nisha Chandramoorthy; Florian T. Schaefer; Youssef M. Marzouk (AISTATS, 2024)

Sampling in Unit Time with Kernel Fisher-Rao Flow. - Aimee Maurais; Youssef M. Marzouk (ICML, 2024)

Optimal experimental design: Formulations and computations. - Xun Huan; Jayanth Jagalur; Youssef M. Marzouk (Acta Numer., 2024)

Stable generative modeling using diffusion maps. - Georg A. Gottwald; Fengyi Li; Youssef M. Marzouk; Sebastian Reich (CoRR, 2024)

Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities. - Fengyi Li; Ayoub Belhadji; Youssef M. Marzouk (CoRR, 2024)

Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities. - Matthew T. C. Li; Tiangang Cui; Fengyi Li; Youssef M. Marzouk; Olivier Zahm (CoRR, 2024)

On the design of scalable, high-precision spherical-radial Fourier features. - Ayoub Belhadji; Qianyu Julie Zhu; Youssef M. Marzouk (CoRR, 2024)

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport. - Lianghao Cao; Joshua Chen; Michael Brennan; Thomas O'Leary-Roseberry; Youssef M. Marzouk; Omar Ghattas (CoRR, 2024)

Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport. - Ricardo Baptista; Lianghao Cao; Joshua Chen; Omar Ghattas; Fengyi Li; Youssef M. Marzouk; J. Tinsley Oden (J. Comput. Phys., 2024)

Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport. - Ricardo Baptista; Rebecca E. Morrison; Olivier Zahm; Youssef M. Marzouk (J. Mach. Learn. Res., 2024)

Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective. - Youssef M. Marzouk; Zhi (Robert) Ren; Sven Wang; Jakob Zech (J. Mach. Learn. Res., 2024)

Conditional Sampling with Monotone GANs: From Generative Models to Likelihood-Free Inference. - Ricardo Baptista; Bamdad Hosseini; Nikola B. Kovachki; Youssef M. Marzouk (SIAM/ASA J. Uncertain. Quantification, 2024)

An approximation theory framework for measure-transport sampling algorithms. - Ricardo Baptista; Bamdad Hosseini; Nikola B. Kovachki; Youssef Marzouk 001; Amir Sagiv (Math. Comput., 2024)

Evaluating the Accuracy of Gaussian Approximations in VSWIR Imaging Spectroscopy Retrievals. - Kelvin M. Leung; David R. Thompson 001; Jouni Susiluoto; Jayanth Jagalur; Amy Braverman; Youssef M. Marzouk (IEEE Trans. Geosci. Remote. Sens., 2024)

On the Representation and Learning of Monotone Triangular Transport Maps. - Ricardo Baptista; Youssef M. Marzouk; Olivier Zahm (Found. Comput. Math., 2024)

Learning Local Neighborhoods of Non-Gaussian Graphical Models. - Sarah Liaw; Rebecca E. Morrison; Youssef M. Marzouk; Ricardo Baptista (AAAI, 2025)

Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps. - Ricardo Baptista; Aram-Alexandre Pooladian; Michael Brennan; Youssef Marzouk 001; Jonathan Niles-Weed (AISTATS, 2025)

Optimal Scheduling of Dynamic Transport. - Panos Tsimpos; Zhi Ren 003; Jakob Zech; Youssef Marzouk 001 (COLT, 2025)

Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices. - Aimee Maurais; Terrence Alsup; Benjamin Peherstorfer; Youssef M. Marzouk (SIAM J. Math. Data Sci., 2025)

Dimension reduction via score ratio matching. - Ricardo Baptista; Michael Brennan; Youssef Marzouk 001 (Trans. Mach. Learn. Res., 2025)

Can Bayesian Neural Networks Make Confident Predictions? - Katharine Fisher; Youssef Marzouk 001 (CoRR, 2025)

Distribution learning via neural differential equations: minimal energy regularization and approximation theory. - Youssef M. Marzouk; Zhi Ren 003; Jakob Zech (CoRR, 2025)

Weighted quantization using MMD: From mean field to mean shift via gradient flows. - Ayoub Belhadji; Daniel Sharp; Youssef M. Marzouk (CoRR, 2025)

Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations. - Liviu Aolaritei; Michael I. Jordan; Youssef M. Marzouk; Zheyu Oliver Wang; Julie Zhu (CoRR, 2025)

Learning local neighborhoods of non-Gaussian graphical models: A measure transport approach. - Sarah Liaw; Rebecca E. Morrison; Youssef Marzouk 001; Ricardo Baptista (CoRR, 2025)

Bayesian optimal experimental design with Wasserstein information criteria. - Tapio Helin; Youssef Marzouk 001; Jose Rodrigo Rojo-Garcia (CoRR, 2025)

Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems. - Jonathan Lindbloom; Mirjeta Pasha; Jan Glaubitz; Youssef Marzouk 001 (CoRR, 2025)

Localized Diffusion Models for High Dimensional Distributions Generation. - Georg A. Gottwald; Shuigen Liu; Youssef Marzouk 001; Sebastian Reich; Xin T. Tong (CoRR, 2025)

Efficient sampling for sparse Bayesian learning using hierarchical prior normalization. - Jan Glaubitz; Youssef Marzouk 001 (CoRR, 2025)

Discussion of "Experimental Design and Modeling for Forward-Inverse Maps" by R. Barton & M. Morris, appearing in Technometrics. - Youssef Marzouk 001 (Technometrics, 2025)