Y. Marzouk

发表

Sequential Bayesian optimal experimental design via approximate dynamic programming

X. Huan, Y. Marzouk, 2016, 1604.08320.

An introduction to sampling via measure transport

Y. Marzouk, T. Moselhy, M. Parno, 2016, 1602.05023.

Large-Scale Inverse Problems and Quantification of Uncertainty

Y. Marzouk, B. Mallick, M. Heinkenschloss, 1994 .

Information-Driven Experimental Design in Materials Science

Y. Marzouk, Raghav Aggarwal, M. Demkowicz, 2016 .

Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations

Patrick R. Conrad, Y. Marzouk, N. Pillai, 2014, 1402.1694.

A stochastic collocation approach to Bayesian inference in inverse problems

Y. Marzouk, D. Xiu, 2009 .

Bayesian inference of chemical kinetic models from proposed reactions

Youssef M. Marzouk, Nikhil Galagali, Y. Marzouk, 2015 .

Transport Map Accelerated Markov Chain Monte Carlo

Youssef Marzouk, Matthew Parno, Y. Marzouk, 2014, SIAM/ASA J. Uncertain. Quantification.

Greedy inference with layers of lazy maps

Y. Marzouk, Alessio Spantini, O. Zahm, 2019, 1906.00031.

Computationally efficient Bayesian inference for inverse problems.

Y. Marzouk, H. Najm, L. Rahn, 2007 .

Uncertainty quantification in chemical systems

Y. Marzouk, H. Najm, B. Debusschere, 2009 .

Dynamic Response of Strained Premixed Flames to Equivalence Ratio Gradients

Y. Marzouk, H. Najm, A. Ghoniem, 2000 .

Bayesian deep learning and uncertainty quantification applied to induced seismicity locations in the Groningen gas field in the Netherlands: What do we need for safe AI?

Y. Marzouk, M. Toksoz, C. Gu, 2019, SEG Technical Program Expanded Abstracts 2019.

Surrogate and reduced-order modeling: a comparison of approaches for large-scale statistical inverse problems [Chapter 7]

Karen Willcox, Youssef M. Marzouk, B. van Bloemen Waanders, 2010 .

Bayesian inference with optimal maps Citation

Y. Marzouk, T. Moselhy, 2012 .

Bayesian estimation of unresolved fine-scale properties of binary media from multiscale observations

Y. Marzouk, B. V. B. Waanders, J. Ray, 2011 .

An Optimization Based Algorithm for Bayesian Inference

Y. Marzouk, 2015 .

Likelihood-informed dimension reduction for nonlinear inverse problems

Tiangang Cui, Youssef M. Marzouk, Antti Solonen, 2014, 1403.4680.

Characterizing bioterrorist attacks from a short time series of diagnosed patient data-A Bayesian approach

Y. Marzouk, J. Ray, M. Kraus, 2022 .

An approximate empirical Bayesian method for large-scale linear-Gaussian inverse problems

Qingping Zhou, Youssef M. Marzouk, Jinglai Li, 2017, Inverse Problems.

Bayesian waveform-based calibration of high-pressure acoustic emission systems with ball drop measurements

Y. Marzouk, G. Prieto, B. Hager, 2019, Geophysical Journal International.

Waveform-based Bayesian full moment tensor inversion and uncertainty determination for the induced seismicity in an oil/gas field

Y. Marzouk, M. Toksöz, C. Gu, 2018 .

Bayesian moment tensor inversion and uncertainty quantification for induced seismicity: Uncertainties from both the location and velocity model

Y. Marzouk, C. Gu, M. Toksökz, 2017 .

Robust Bayesian moment tensor inversion using Transport-Lagrangian distances

Y. Marzouk, M. Fehler, A. Scarinci, 2019, SEG Technical Program Expanded Abstracts 2019.

On the importance of model selection when inferring impurity transport coefficient profiles

Y. Marzouk, J. Rice, M. Greenwald, 2019, Plasma Physics and Controlled Fusion.

Geodesically Parameterized Covariance Estimation

Y. Marzouk, S.T. Smith, A. Musolas, 2020, SIAM J. Matrix Anal. Appl..

Computationally efficient inference for multiphase flow using the Ensemble Kalman Filter.

Youssef M. Marzouk, Sean Andrew McKenna, Bart Gustaaf van Bloemen Waanders, 2010 .

Inferring Fault Frictional and Reservoir Hydraulic Properties From Injection‐Induced Seismicity

Y. Marzouk, R. Juanes, B. Jha, 2018 .

Asymmetric autocorrelation function to resolve directional ambiguity in PIV images

Y. Marzouk, D. Hart, 1998 .

Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design pdf

Youssef Marzouk, Jayanth Jagalur-Mohan, Y. Marzouk, 2020, J. Mach. Learn. Res..

Inference of experimental radial impurity transport on Alcator C-Mod: Bayesian parameter estimation and model selection

Y. Marzouk, J. Rice, F. Sciortino, 2020, Nuclear Fusion.

Efficient Bayesian inference for large chaotic dynamical systems

Heikki Haario, Youssef Marzouk, Jouni Susiluoto, 2021, Geoscientific Model Development.

Asymptotically Exact MCMC Algorithms via Local Approximations of Computationally Intensive Models

Aaron Smith, Natesh S. Pillai, Youssef M. Marzouk, 2014 .

BAYESIAN INFERENCE OF EPIDEMIOLOGICAL CHARACTERISTICS IN A PARTIALLY OBSERVED EPIDEMIC

Y. Marzouk, J. Ray, 2008 .

Contributions of the wall boundary layer to the formation of the counter-rotating vortex pair in transverse jets

Y. Marzouk, A. Ghoniem, D. Wee, 2011, Journal of Fluid Mechanics.

Author ' s personal copy Sequential data assimilation with multiple models

Y. Marzouk, D. Xiu, A. Narayan, 2012 .

Bayesian reconstruction of binary media with unresolved fine-scale spatial structures

Sean A. McKenna, Youssef M. Marzouk, B. van Bloemen Waanders, 2012 .

Bayesian data assimilation for stochastic multiscale models of transport in porous media.

Y. Marzouk, B. V. B. Waanders, M. Parno, 2011 .

Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport

J. Oden, Y. Marzouk, O. Ghattas, 2022, 2206.11343.

Wasserstein Distributionally Robust Gaussian Process Regression and Linear Inverse Problems

Viet Anh Nguyen, J. Blanchet, Y. Marzouk, 2022 .

Distributed micro-releases of bioterror pathogens: threat characterizations and epidemiology from uncertain patient observables

Habib N. Najm, Michael M. Wolf, Jaideep Ray, 2008 .

Toward a Flame Embedding Model for Turbulent Combustion Simulation

Habib N. Najm, Ahmed F. Ghoniem, Youssef M. Marzouk, 2003 .

Gradient-based data and parameter dimension reduction for Bayesian models: an information theoretic perspective

Y. Marzouk, O. Zahm, R. Baptista, 2022, 2207.08670.

Transport Map Accelerated Markov Chain Monte Carlo

Y. Marzouk, M. Parno, 2014, SIAM/ASA J. Uncertain. Quantification.

Mechanism of streamwise vorticity formation in a transverse jet

Ahmed F. Ghoniem, Youssef M. Marzouk, Y. Marzouk, 2002 .

Simulations of High Reynolds Number Transverse Jets and Analysis of the Underlying Vortical Structures

Y. Marzouk, A. Ghoniem, D. Wee, 2005 .

Vorticity generation mechanisms and correct boundary conditions for transverse jet simulation

Y. Marzouk, A. Ghoniem, 2003 .

Rare Event Simulation of a Rotorcraft System

Youssef M. Marzouk, Tuhin Sahai, Byung-Young Min, 2018 .

Multifidelity Optimization under Uncertainty for a Scramjet-Inspired Problem

Gianluca Geraci, Youssef M. Marzouk, Michael S. Eldred, 2018 .

Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics

Benjamin J. Zhang, Y. Marzouk, K. Spiliopoulos, 2021, Statistics and Computing.

Computing f-Divergences and Distances of High-Dimensional Probability Density Functions - Low-Rank Tensor Approximations

Y. Marzouk, Alessio Spantini, H. Matthies, 2021, ArXiv.

On the Representation and Learning of Monotone Triangular Transport Maps

Y. Marzouk, O. Zahm, R. Baptista, 2020, Foundations of Computational Mathematics.

Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions

Y. Marzouk, P. Constantine, C. Prieur, 2018, SIAM J. Sci. Comput..

Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport

J. Oden, Y. Marzouk, O. Ghattas, 2022, J. Comput. Phys..

On minimax density estimation via measure transport

Y. Marzouk, Sven Wang, Sven Wang, 2022, 2207.10231.

A low-rank ensemble Kalman filter for elliptic observations

Y. Marzouk, J. Eldredge, R. Baptista, 2022, Proceedings of the Royal Society A.

Efficient design and verification of diagnostics for impurity transport experiments.

Y. Marzouk, J. Rice, M. Greenwald, 2018, The Review of scientific instruments.

Computational singular perturbation with non-parametric tabulation of slow manifolds for time integration of stiff chemical kinetics

Habib N. Najm, Mauro Valorani, Bert J. Debusschere, 2012 .

Distributionally Robust Gaussian Process Regression and Bayesian Inverse Problems

Viet Anh Nguyen, J. Blanchet, Y. Marzouk, 2022, 2205.13111.

A Bayesian approach to inverse problems in scalar transport

Habib N. Najm, Youssef M. Marzouk, Y. Marzouk, 2006 .

Bayesian Inference of Spectral Expansions for Predictability Assessment in Stochastic Reaction Networks

Khachik Sargsyan, Habib N. Najm, Bert J. Debusschere, 2009 .

Subsurface uncertainty quantification with deep geologic priors: A variational Bayesian framework

Y. Marzouk, Dallas Foster, Brent Wheelock, 2022, Second International Meeting for Applied Geoscience & Energy.

Analytical methods for superresolution dislocation identification in dark-field X-ray microscopy

Y. Marzouk, M. Howard, L. Dresselhaus-Marais, 2022, Journal of Materials Science.

Low-rank multi-parametric covariance identification

Y. Marzouk, P. Absil, J. Hendrickx, 2021, BIT Numerical Mathematics.

Sparse Approximation of Triangular Transports, Part I: The Finite-Dimensional Case

Y. Marzouk, J. Zech, 2022, Constructive Approximation.

GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL DESIGN

X. Huan, Y. Marzouk, 2012, 1212.2228.

Ensemble Transport Smoothing. Part I: Unified Framework

Y. Marzouk, D. McLaughlin, M. Ramgraber, 2022, Journal of Computational Physics: X.

Efficient Localization of Discontinuities in Complex Computational Simulations

Alex A. Gorodetsky, Youssef M. Marzouk, Y. Marzouk, 2014, SIAM J. Sci. Comput..

Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design

Y. Marzouk, Jayanth Jagalur-Mohan, 2020, J. Mach. Learn. Res..

Experimentally testing the dependence of momentum transport on second derivatives using Gaussian process regression

Y. Marzouk, A. Hubbard, J. Rice, 2017 .

Practical Reliability and Uncertainty Quantification in Complex Systems: Final Report

Matthew D. Grace, Youssef M. Marzouk, Matthew D. Grace, 2009 .

Coupling Techniques for Nonlinear Ensemble Filtering

Ricardo Baptista, Youssef Marzouk, Alessio Spantini, 2019, SIAM Review.

hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty

Y. Marzouk, O. Ghattas, M. Parno, 2021, ACM Trans. Math. Softw..

Simulation-based optimal Bayesian experimental design for nonlinear systems

Xun Huan, Youssef M. Marzouk, X. Huan, 2011, J. Comput. Phys..

Optimal Bayesian Experimental Design for Combustion Kinetics

Xun Huan, Youssef M. Marzouk, X. Huan, 2011 .

Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation pdf

Alex A. Gorodetsky, Youssef M. Marzouk, Y. Marzouk, 2015, SIAM/ASA J. Uncertain. Quantification.

Efficient Bayesian inference for large chaotic dynamical systems

Heikki Haario, Youssef M. Marzouk, Jouni Susiluoto, 2020 .

A Multiscale Strategy for Bayesian Inference Using Transport Maps

Youssef M. Marzouk, Tarek A. El-Moselhy, Matthew D. Parno, 2015, SIAM/ASA J. Uncertain. Quantification.

Bayesian inference with optimal maps

Youssef M. Marzouk, Tarek A. El-Moselhy, Y. Marzouk, 2011, J. Comput. Phys..

Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems

Habib N. Najm, Youssef M. Marzouk, Y. Marzouk, 2008, J. Comput. Phys..

Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics

Francesco Rizzi, Omar M. Knio, Maher Salloum, 2011, Multiscale Model. Simul..

Inference via Low-Dimensional Couplings

Youssef M. Marzouk, Alessio Spantini, Daniele Bigoni, 2017, J. Mach. Learn. Res..

Multifidelity importance sampling

Tiangang Cui, Benjamin Peherstorfer, Youssef M. Marzouk, 2016 .

Data‐driven model reduction for the Bayesian solution of inverse problems

Tiangang Cui, Youssef M. Marzouk, Karen E. Willcox, 2014, 1403.4290.

Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems

Jinglai Li, Youssef M. Marzouk, Y. Marzouk, 2013, SIAM J. Sci. Comput..

Learning non-Gaussian graphical models via Hessian scores and triangular transport

Rebecca E. Morrison, Y. Marzouk, O. Zahm, 2021, ArXiv.

Adaptive Smolyak Pseudospectral Approximations pdf

Youssef M. Marzouk, Patrick R. Conrad, Y. Marzouk, 2012, SIAM J. Sci. Comput..

A Bayesian method for characterizing distributed micro-releases: I. The single-source case for non-contagious diseases

Sandia Report, Youssef M. Marzouk, Jaideep Ray, 2006 .

A Stein variational Newton method

Tiangang Cui, Youssef M. Marzouk, Robert Scheichl, 2018, NeurIPS.

An adaptive transport framework for joint and conditional density estimation pdf

Ricardo Baptista, Youssef Marzouk, Olivier Zahm, 2020, ArXiv.

A layered multiple importance sampling scheme for focused optimal Bayesian experimental design.

Chi Feng, Youssef M. Marzouk, Y. Marzouk, 2019, 1903.11187.

A Koopman framework for rare event simulation in stochastic differential equations

Benjamin J. Zhang, Y. Marzouk, T. Sahai, 2021, J. Comput. Phys..

Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation

Iason Papaioannou, Daniel Straub, Youssef M. Marzouk, 2020, SIAM/ASA J. Uncertain. Quantification.

Parallel Local Approximation MCMC for Expensive Models

Aaron Smith, Patrick R. Conrad, Patrick R. Conrad, 2016, SIAM/ASA J. Uncertain. Quantification.

NOWPAC: A provably convergent nonlinear optimizer with path-augmented constraints for noisy regimes

Y. Marzouk, F. Augustin, 2014 .

A transport-based multifidelity preconditioner for Markov chain Monte Carlo

Benjamin Peherstorfer, Youssef Marzouk, Y. Marzouk, 2018, Advances in Computational Mathematics.

Bayesian Inverse Problems with l1 Priors: A Randomize-Then-Optimize Approach

Zheng Wang, Tiangang Cui, Johnathan M. Bardsley, 2016, SIAM J. Sci. Comput..

Bayesian Inverse Problems with L[subscript 1] Priors: A Randomize-Then-Optimize Approach

Tiangang Cui, Zheng Wang, Johnathan M. Bardsley, 2017 .

MALA-within-Gibbs Samplers for High-Dimensional Distributions with Sparse Conditional Structure

Y. Marzouk, M. Morzfeld, X. Tong, 2019, SIAM J. Sci. Comput..

Truncated MultiGaussian Fields and Effective Conductance of Binary Media

Youssef M. Marzouk, Sean A. McKenna, Bart Gustaaf van Bloemen Waanders, 2011 .

High-dimensional stochastic optimal control using continuous tensor decompositions

Sertac Karaman, Alex A. Gorodetsky, Youssef M. Marzouk, 2016, Int. J. Robotics Res..

Conditional Sampling With Monotone GANs

Nikola B. Kovachki, Y. Marzouk, Bamdad Hosseini, 2020, ArXiv.

Stochastic spectral methods for efficient Bayesian solution of inverse problems

Habib N. Najm, Larry A. Rahn, Youssef M. Marzouk, 2005, J. Comput. Phys..

Data-free inference of the joint distribution of uncertain model parameters

Habib N. Najm, Bert J. Debusschere, Helgi Adalsteinsson, 2010, J. Comput. Phys..

Diffusion map particle systems for generative modeling

Y. Marzouk, Fengyi Li, 2023, ArXiv.

Low-rank tensor integration for Gaussian filtering of continuous time nonlinear systems

Sertac Karaman, Alex A. Gorodetsky, Youssef M. Marzouk, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Spectral Tensor-Train Decomposition

Youssef M. Marzouk, Allan Peter Engsig-Karup, Daniele Bigoni, 2014, SIAM J. Sci. Comput..

Low-rank multi-parametric covariance identification

Julien M. Hendrickx, Estelle Massart, Youssef Marzouk, 2020, BIT Numerical Mathematics.

Bayesian seismic inversion: Measuring Langevin MCMC sample quality with kernels

Youssef M. Marzouk, Lester Mackey, Muhammad Izzatullah, 2020 .

Localization for MCMC: sampling high-dimensional posterior distributions with local structure

Matthias Morzfeld, Youssef M. Marzouk, X. T. Tong, 2017, J. Comput. Phys..

Improved profile fitting and quantification of uncertainty in experimental measurements of impurity transport coefficients using Gaussian process regression

Youssef M. Marzouk, Martin Greenwald, J. E. Rice, 2015 .

Contributions of the wall boundary layer to the formation of the counter-rotating vortex pair in transverse jets

Y. Marzouk, A. Ghoniem, D. Wee, 2011, Journal of Fluid Mechanics.

Vorticity structure and evolution in a transverse jet

Youssef M. Marzouk, Y. Marzouk, 2007, Journal of Fluid Mechanics.

K-means clustering for optimal partitioning and dynamic load balancing of parallel hierarchical N-body simulations

Ahmed F. Ghoniem, Youssef M. Marzouk, Y. Marzouk, 2005 .

Infinite-Dimensional Diffusion Models for Function Spaces

Y. Marzouk, S. Reich, Jakiw Pidstrigach, 2023, ArXiv.

A trust-region method for derivative-free nonlinear constrained stochastic optimization

Y. Marzouk, H. Bungartz, F. Menhorn, 2017, 1703.04156.

Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction

Tiangang Cui, Karen Willcox, Youssef M. Marzouk, 2015, J. Comput. Phys..

NOWPAC: A provably convergent derivative-free nonlinear optimizer with path-augmented constraints

Y. Marzouk, F. Augustin, 2014, 1403.1931.

Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFiRE Direct Connect Rig

Xun Huan, Cosmin Safta, Gianluca Geraci, 2019, AIAA Scitech 2019 Forum.

Localization for MCMC: sampling high-dimensional posterior distributions with banded structure

Y. Marzouk, M. Morzfeld, X. Tong, 2017 .

On dimension reduction in Gaussian filters

Tiangang Cui, Youssef Marzouk, Antti Solonen, 2015, 1508.06452.

A Bayesian method for inferring transmission chains in a partially observed epidemic.

Youssef M. Marzouk, Jaideep Ray, Y. Marzouk, 2008 .

Bayesian inference of substrate properties from film behavior

Y. Marzouk, Raghav Aggarwal, M. Demkowicz, 2014 .

Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions

Sertac Karaman, Alex A. Gorodetsky, Youssef M. Marzouk, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems

Tiangang Cui, Luis Tenorio, Karen Willcox, 2016, SIAM J. Sci. Comput..

A continuous analogue of the tensor-train decomposition

Sertac Karaman, Alex A. Gorodetsky, Youssef M. Marzouk, 2015, Computer Methods in Applied Mechanics and Engineering.

Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference

Nikola B. Kovachki, Y. Marzouk, Bamdad Hosseini, 2020, 2006.06755.

Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals

Yan Zhou, Alexandros Beskos, Ajay Jasra, 2017, SIAM/ASA J. Uncertain. Quantification.

Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition

Sertac Karaman, Alex A. Gorodetsky, Youssef M. Marzouk, 2015, Robotics: Science and Systems.

MULTILEVEL MONTE CARLO ESTIMATORS FOR DERIVATIVE-FREE OPTIMIZATION UNDER UNCERTAINTY

Y. Marzouk, M. Eldred, H. Bungartz, 2023, International Journal for Uncertainty Quantification.

Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices

Y. Marzouk, Benjamin Peherstorfer, Terrence Alsup, 2023, ArXiv.

Multi-fidelity covariance estimation in the log-Euclidean geometry

Y. Marzouk, Benjamin Peherstorfer, Terrence Alsup, 2023, ICML.

Sequential data assimilation with multiple models

Dongbin Xiu, Youssef M. Marzouk, Akil C. Narayan, 2012, J. Comput. Phys..

A unified approach to expectation-maximization and level set segmentation applied to stem cell and brain MRI images

Mukund Desai, Rami Mangoubi, Youssef M. Marzouk, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Sparse Approximation of Triangular Transports, Part II: The Infinite-Dimensional Case pdf

Youssef Marzouk, Jakob Zech, Y. Marzouk, 2020, Constructive Approximation.

A new network approach to Bayesian inference in partial differential equations

Youssef M. Marzouk, Utz Wever, Dominic Kohler, 2015 .

The Eeect of Flow and Mixture Inhomogeneity on the Dynamics of Strained Flames the Eeect of Flow and Mixture Inhomogeneity on the Dynamics of Strained Flames

Y. Marzouk, A. Ghoniem, 2007 .

The effect of flow and mixture inhomogeneity on the dynamics of strained flames

Y. Marzouk, 1999 .

Efficient multi-scale Gaussian process regression for massive remote sensing data with satGP v0.1.2

Heikki Haario, Youssef M. Marzouk, Jouni Susiluoto, 2020, Geoscientific Model Development.

Data-driven forward discretizations for Bayesian inversion

Y. Marzouk, D. Sanz-Alonso, D. Bigoni, 2020, Inverse Problems.

Greedy inference with structure-exploiting lazy maps

Y. Marzouk, Alessio Spantini, O. Zahm, 2019, NeurIPS.

Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting

Ricardo Baptista, Youssef Marzouk, Rebecca E. Morrison, 2017, NIPS.

Exploiting network topology for large-scale inference of nonlinear reaction models

Youssef Marzouk, Nikhil Galagali, Y. Marzouk, 2017, Journal of the Royal Society Interface.

Supplementary Information: Exploiting network topology for large-scale inference of nonlinear reaction models Journal of the Royal Society Interface

Y. Marzouk, Nikhil Galagali, 2019 .

Conditional classifiers and boosted conditional Gaussian mixture model for novelty detection

Oral Büyüköztürk, Youssef M. Marzouk, Reza Mohammadi-Ghazi, 2018, Pattern Recognit..

An Approximation Theory Framework for Measure-Transport Sampling Algorithms

Nikola B. Kovachki, Y. Marzouk, Bamdad Hosseini, 2023, Mathematics of Computation.

Optimal Low-rank Approximations of Bayesian Linear Inverse Problems

Tiangang Cui, Luis Tenorio, James Martin, 2014, SIAM J. Sci. Comput..

A score-based operator Newton method for measure transport

Y. Marzouk, N. Chandramoorthy, F. Schaefer, 2023, ArXiv.

High-order AMR computations of reacting flow with adaptive reduction of chemical stiffness

Cosmin Safta, Habib N. Najm, Mauro Valorani, 2008 .

Rate-optimal refinement strategies for local approximation MCMC

Andrew D. Davis, Y. Marzouk, N. Pillai, 2020, Statistics and Computing.

Bayesian methods for estimating the reliability in complex hierarchical networks (interim report).

Philippe Pierre Pebay, Paul T. Boggs, Youssef M. Marzouk, 2007 .

Principal Feature Detection via $\Phi$-Sobolev Inequalities

Y. Marzouk, O. Zahm, Matthew Li, 2023, 2305.06172.

Nonlinear dimension reduction for surrogate modeling using gradient information

Y. Marzouk, C. Prieur, O. Zahm, 2021, ArXiv.

Certified dimension reduction in nonlinear Bayesian inverse problems

Tiangang Cui, Youssef Marzouk, Olivier Zahm, 2018, Math. Comput..

Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions

Y. Marzouk, P. Constantine, C. Prieur, 2018, SIAM J. Sci. Comput..

Dimension-independent likelihood-informed MCMC

Tiangang Cui, Kody J. H. Law, Youssef M. Marzouk, 2014, J. Comput. Phys..

Sparse approximation of triangular transports on bounded domains pdf

Youssef Marzouk, Jakob Zech, Y. Marzouk, 2020, ArXiv.

Computing f ‐divergences and distances of high‐dimensional probability density functions

Y. Marzouk, Alessio Spantini, H. Matthies, 2022, Numer. Linear Algebra Appl..

Multifidelity Dimension Reduction via Active Subspaces

Karen Willcox, Youssef Marzouk, Olivier Zahm, 2018, SIAM J. Sci. Comput..

Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator pdf

Youssef M. Marzouk, Tuhin Sahai, Benjamin J. Zhang, 2021, ArXiv.

Ensemble Transport Smoothing. Part II: Nonlinear Updates

Y. Marzouk, D. McLaughlin, M. Ramgraber, 2022, Journal of Computational Physics: X.

Scalable Optimization-Based Sampling on Function Space

Tiangang Cui, Zheng Wang, Johnathan M. Bardsley, 2019, SIAM J. Sci. Comput..

Localization for MCMC: sampling high-dimensional posterior distributions with banded structure

Y. Marzouk, M. Morzfeld, X. Tong, 2017, 1710.07747.

Bayesian inference under model misspecification using transport-Lagrangian distances: an application to seismic inversion

Michael Fehler, Youssef Marzouk, Andrea Scarinci, 2021, 2105.07027.

Uncertainty quantification of silicon photonic devices with correlated and non-Gaussian random parameters.

Zhan Su, Tsui-Wei Weng, Luca Daniel, 2015, Optics express.

MParT: Monotone Parameterization Toolkit

Y. Marzouk, M. Parno, M. Brennan, 2022, Journal of Open Source Software.

A transport approach to sequential simulation-based inference

Y. Marzouk, M. Parno, Paul-Baptiste Rubio, 2023, ArXiv.

Score Operator Newton transport

Y. Marzouk, N. Chandramoorthy, F. Schaefer, 2023, 2305.09792.

Time Integration of Reacting Flows with CSP Tabulation

Y. Marzouk, M. Frenklach, H. Najm, 2009 .

Conditional Sampling With Monotone GANs pdf

Bamdad Hosseini, Ricardo Baptista, Youssef Marzouk, 2020, ArXiv.

Bayesian inverse problems with Monte Carlo forward models

Guillaume Bal, Ian Langmore, Youssef M. Marzouk, 2013 .

Diffusion map particle systems for generative modeling

Y. Marzouk, Fengyi Li, 2023, ArXiv.

Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices

Y. Marzouk, Terrence Alsup, A. Maurais, 2023, ArXiv.

Wasserstein Distributionally Robust Gaussian Process Regression and Linear Inverse Problems

Viet Anh Nguyen, J. Blanchet, Y. Marzouk, 2022 .

2 Strain in Multi-Dimensional Reacting Flow 2 . 1 Kinematics of Flame Front Stretching

Y. Marzouk, 2001 .