Youssef M. Marzouk

106 papers A* 5A 1B 1C 1Journal 91Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Bayesian Characterization of Ensemble Kalman Updates. CoRR Frederic J. N. Jorgensen, Youssef M. Marzouk
2025	J	`jnl`	Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations. CoRR Liviu Aolaritei, Michael I. Jordan, Youssef M. Marzouk, Zheyu Oliver Wang, Julie Zhu
2025	J	`jnl`	Distribution learning via neural differential equations: minimal energy regularization and approximation theory. CoRR Youssef M. Marzouk, Zhi Ren, Jakob Zech
2025	A*	`conf`	Learning Local Neighborhoods of Non-Gaussian Graphical Models. AAAI Sarah Liaw, Rebecca E. Morrison, Youssef M. Marzouk, Ricardo Baptista
2025	J	`jnl`	Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices. SIAM J. Math. Data Sci. Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk
2025	J	`jnl`	Weighted quantization using MMD: From mean field to mean shift via gradient flows. CoRR Ayoub Belhadji, Daniel Sharp, Youssef M. Marzouk
2024	J	`jnl`	Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport. J. Comput. Phys. Ricardo Baptista, Lianghao Cao, Joshua Chen, Omar Ghattas, Fengyi Li, Youssef M. Marzouk, J. Tinsley Oden
2024	J	`jnl`	Conditional Sampling with Monotone GANs: From Generative Models to Likelihood-Free Inference. SIAM/ASA J. Uncertain. Quantification Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk
2024	J	`jnl`	Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps. CoRR Ricardo Baptista, Aram-Alexandre Pooladian, Michael Brennan, Youssef M. Marzouk, Jonathan Niles-Weed
2024	J	`jnl`	Dimension reduction via score ratio matching. CoRR Ricardo Baptista, Michael Brennan, Youssef M. Marzouk
2024	J	`jnl`	Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective. J. Mach. Learn. Res. Youssef M. Marzouk, Zhi (Robert) Ren, Sven Wang, Jakob Zech
2024	J	`jnl`	Evaluating the Accuracy of Gaussian Approximations in VSWIR Imaging Spectroscopy Retrievals. IEEE Trans. Geosci. Remote. Sens. Kelvin M. Leung, David R. Thompson, Jouni Susiluoto, Jayanth Jagalur, Amy Braverman, Youssef M. Marzouk
2024	J	`jnl`	LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport. CoRR Lianghao Cao, Joshua Chen, Michael Brennan, Thomas O'Leary-Roseberry, Youssef M. Marzouk, Omar Ghattas
2024	J	`jnl`	Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport. J. Mach. Learn. Res. Ricardo Baptista, Rebecca E. Morrison, Olivier Zahm, Youssef M. Marzouk
2024	J	`jnl`	Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities. CoRR Fengyi Li, Ayoub Belhadji, Youssef M. Marzouk
2024	J	`jnl`	On the Representation and Learning of Monotone Triangular Transport Maps. Found. Comput. Math. Ricardo Baptista, Youssef M. Marzouk, Olivier Zahm
2024	J	`jnl`	On the design of scalable, high-precision spherical-radial Fourier features. CoRR Ayoub Belhadji, Qianyu Julie Zhu, Youssef M. Marzouk
2024	J	`jnl`	Optimal experimental design: Formulations and computations. Acta Numer. Xun Huan, Jayanth Jagalur, Youssef M. Marzouk
2024	J	`jnl`	Optimal experimental design: Formulations and computations. CoRR Xun Huan, Jayanth Jagalur, Youssef M. Marzouk
2024	A*	`conf`	Sampling in Unit Time with Kernel Fisher-Rao Flow. ICML Aimee Maurais, Youssef M. Marzouk
2024	J	`jnl`	Sampling in Unit Time with Kernel Fisher-Rao Flow. CoRR Aimee Maurais, Youssef M. Marzouk
2024	A	`conf`	Score Operator Newton transport. AISTATS Nisha Chandramoorthy, Florian T. Schäfer, Youssef M. Marzouk
2024	J	`jnl`	Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities. CoRR Matthew T. C. Li, Tiangang Cui, Fengyi Li, Youssef M. Marzouk, Olivier Zahm
2024	J	`jnl`	Stable generative modeling using diffusion maps. CoRR Georg A. Gottwald, Fengyi Li, Youssef M. Marzouk, Sebastian Reich
2023	J	`jnl`	A score-based operator Newton method for measure transport. CoRR Nisha Chandramoorthy, Florian T. Schäfer, Youssef M. Marzouk
2023	J	`jnl`	A transport approach to sequential simulation-based inference. CoRR Paul-Baptiste Rubio, Youssef M. Marzouk, Matthew D. Parno
2023	J	`jnl`	An Approximation Theory Framework for Measure-Transport Sampling Algorithms. CoRR Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk, Amir Sagiv
2023	J	`jnl`	Computing f -divergences and distances of high-dimensional probability density functions. Numer. Linear Algebra Appl. Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini
2023	J	`jnl`	Diffusion map particle systems for generative modeling. CoRR Fengyi Li, Youssef M. Marzouk
2023	J	`jnl`	Distribution learning via neural differential equations: a nonparametric statistical perspective. CoRR Youssef M. Marzouk, Zhi Ren, Sven Wang, Jakob Zech
2023	J	`jnl`	Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. CoRR Zheyu Oliver Wang, Ricardo Baptista, Youssef M. Marzouk, Lars Ruthotto, Deepanshu Verma
2023	J	`jnl`	Ensemble transport smoothing. Part I: Unified framework. J. Comput. Phys. X Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk
2023	J	`jnl`	Ensemble transport smoothing. Part II: Nonlinear updates. J. Comput. Phys. X Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk
2023	J	`jnl`	Infinite-Dimensional Diffusion Models for Function Spaces. CoRR Jakiw Pidstrigach, Youssef M. Marzouk, Sebastian Reich, Sven Wang
2023	A*	`conf`	Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry. ICML Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk
2023	J	`jnl`	Multi-fidelity covariance estimation in the log-Euclidean geometry. CoRR Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk
2023	J	`jnl`	Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices. CoRR Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk
2023	J	`jnl`	hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. ACM Trans. Math. Softw. Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra
2022	J	`jnl`	A Koopman framework for rare event simulation in stochastic differential equations. J. Comput. Phys. Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk
2022	J	`jnl`	Certified dimension reduction in nonlinear Bayesian inverse problems. Math. Comput. Olivier Zahm, Tiangang Cui, Kody J. H. Law, Alessio Spantini, Youssef M. Marzouk
2022	J	`jnl`	Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics. Stat. Comput. Benjamin J. Zhang, Youssef M. Marzouk, Konstantinos Spiliopoulos
2022	J	`jnl`	MParT: Monotone Parameterization Toolkit. J. Open Source Softw. Matthew D. Parno, Paul-Baptiste Rubio, Daniel Sharp, Michael Brennan, Ricardo Baptista, Henning Bonart, Youssef M. Marzouk
2022	J	`jnl`	Rate-optimal refinement strategies for local approximation MCMC. Stat. Comput. Andrew D. Davis, Youssef M. Marzouk, Aaron Smith, Natesh S. Pillai
2021	J	`jnl`	Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design. J. Mach. Learn. Res. Jayanth Jagalur-Mohan, Youssef M. Marzouk
2021	J	`jnl`	Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator. CoRR Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk
2021	J	`jnl`	Computing f-Divergences and Distances of High-Dimensional Probability Density Functions - Low-Rank Tensor Approximations. CoRR Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini
2021	J	`jnl`	Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation. SIAM/ASA J. Uncertain. Quantification Felipe Uribe, Iason Papaioannou, Youssef M. Marzouk, Daniel Straub
2021	J	`jnl`	Geodesically Parameterized Covariance Estimation. SIAM J. Matrix Anal. Appl. Antoni Musolas, Steven T. Smith, Youssef M. Marzouk
2021	J	`jnl`	Learning non-Gaussian graphical models via Hessian scores and triangular transport. CoRR Ricardo Baptista, Youssef M. Marzouk, Rebecca E. Morrison, Olivier Zahm
2021	J	`jnl`	Nonlinear dimension reduction for surrogate modeling using gradient information. CoRR Daniele Bigoni, Youssef M. Marzouk, Clémentine Prieur, Olivier Zahm
2021	J	`jnl`	Sparse approximation of triangular transports. Part II: the infinite dimensional case. CoRR Jakob Zech, Youssef M. Marzouk
2021	J	`jnl`	hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. CoRR Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra
2020	J	`jnl`	An adaptive transport framework for joint and conditional density estimation. CoRR Ricardo Baptista, Olivier Zahm, Youssef M. Marzouk
2020	J	`jnl`	Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design. CoRR Jayanth Jagalur-Mohan, Youssef M. Marzouk
2020	J	`jnl`	Conditional Sampling With Monotone GANs. CoRR Nikola B. Kovachki, Ricardo Baptista, Bamdad Hosseini, Youssef M. Marzouk
2020	J	`jnl`	Data-Driven Forward Discretizations for Bayesian Inversion. CoRR Daniele Bigoni, Yuming Chen, Nicolás García Trillos, Youssef M. Marzouk, Daniel Sanz-Alonso
2020	J	`jnl`	Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions. SIAM J. Sci. Comput. Olivier Zahm, Paul G. Constantine, Clémentine Prieur, Youssef M. Marzouk
2020	A*	`conf`	Greedy inference with structure-exploiting lazy maps. NeurIPS Michael Brennan, Daniele Bigoni, Olivier Zahm, Alessio Spantini, Youssef M. Marzouk
2020	J	`jnl`	MALA-within-Gibbs Samplers for High-Dimensional Distributions with Sparse Conditional Structure. SIAM J. Sci. Comput. Xin T. Tong, Matthias Morzfeld, Youssef M. Marzouk
2020	J	`jnl`	Multifidelity Dimension Reduction via Active Subspaces. SIAM J. Sci. Comput. Rémi R. Lam, Olivier Zahm, Youssef M. Marzouk, Karen E. Willcox
2020	J	`jnl`	Scalable Optimization-Based Sampling on Function Space. SIAM J. Sci. Comput. Johnathan M. Bardsley, Tiangang Cui, Youssef M. Marzouk, Zheng Wang
2020	J	`jnl`	Sparse approximation of triangular transports on bounded domains. CoRR Jakob Zech, Youssef M. Marzouk
2019	J	`jnl`	A transport-based multifidelity preconditioner for Markov chain Monte Carlo. Adv. Comput. Math. Benjamin Peherstorfer, Youssef M. Marzouk
2019	J	`jnl`	Localization for MCMC: sampling high-dimensional posterior distributions with local structure. J. Comput. Phys. Matthias Morzfeld, Xin T. Tong, Youssef M. Marzouk
2018	A*	`conf`	A Stein variational Newton method. NeurIPS Gianluca Detommaso, Tiangang Cui, Youssef M. Marzouk, Alessio Spantini, Robert Scheichl
2018	J	`jnl`	A Stein variational Newton method. CoRR Gianluca Detommaso, Tiangang Cui, Youssef M. Marzouk, Robert Scheichl, Alessio Spantini
2018	J	`jnl`	Conditional classifiers and boosted conditional Gaussian mixture model for novelty detection. Pattern Recognit. Reza Mohammadi-Ghazi, Youssef M. Marzouk, Oral Büyüköztürk
2018	J	`jnl`	High-dimensional stochastic optimal control using continuous tensor decompositions. Int. J. Robotics Res. Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
2018	J	`jnl`	Inference via Low-Dimensional Couplings. J. Mach. Learn. Res. Alessio Spantini, Daniele Bigoni, Youssef M. Marzouk
2018	J	`jnl`	Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals. SIAM/ASA J. Uncertain. Quantification Alexandros Beskos, Ajay Jasra, Kody J. H. Law, Youssef M. Marzouk, Yan Zhou
2018	J	`jnl`	Parallel Local Approximation MCMC for Expensive Models. SIAM/ASA J. Uncertain. Quantification Patrick R. Conrad, Andrew D. Davis, Youssef M. Marzouk, Natesh S. Pillai, Aaron Smith
2018	J	`jnl`	Transport Map Accelerated Markov Chain Monte Carlo. SIAM/ASA J. Uncertain. Quantification Matthew D. Parno, Youssef M. Marzouk
2017	J	`jnl`	Bayesian Inverse Problems with l SIAM J. Sci. Comput. Zheng Wang, Johnathan M. Bardsley, Antti Solonen, Tiangang Cui, Youssef M. Marzouk
2017	—	`conf`	Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. NIPS Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk
2017	J	`jnl`	Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. CoRR Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk
2017	J	`jnl`	Exploiting network topology for large-scale inference of nonlinear reaction models. CoRR Nikhil Galagali, Youssef M. Marzouk
2017	J	`jnl`	Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems. SIAM J. Sci. Comput. Alessio Spantini, Tiangang Cui, Karen Willcox, Luis Tenorio, Youssef M. Marzouk
2017	—	`conf`	Low-rank tensor integration for Gaussian filtering of continuous time nonlinear systems. CDC Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
2017	B	`conf`	Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation. ESANN Pierre-Yves Gousenbourger, Estelle M. Massart, Antoni Musolas, Pierre-Antoine Absil, Julien M. Hendrickx, Laurent Jacques, Youssef M. Marzouk
2016	J	`jnl`	A Multiscale Strategy for Bayesian Inference Using Transport Maps. SIAM/ASA J. Uncertain. Quantification Matthew D. Parno, Tarek A. El-Moselhy, Youssef M. Marzouk
2016	—	`conf`	Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions. CDC John Irvin Alora, Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk, Nathan Lowry
2016	J	`jnl`	Dimension-independent likelihood-informed MCMC. J. Comput. Phys. Tiangang Cui, Kody J. H. Law, Youssef M. Marzouk
2016	J	`jnl`	High-Dimensional Stochastic Optimal Control using Continuous Tensor Decompositions. CoRR Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
2016	J	`jnl`	Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation. SIAM/ASA J. Uncertain. Quantification Alex A. Gorodetsky, Youssef M. Marzouk
2016	J	`jnl`	Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction. J. Comput. Phys. Tiangang Cui, Youssef M. Marzouk, Karen Willcox
2016	J	`jnl`	Spectral Tensor-Train Decomposition. SIAM J. Sci. Comput. Daniele Bigoni, Allan Peter Engsig-Karup, Youssef M. Marzouk
2015	—	`conf`	Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition. Robotics: Science and Systems Alex A. Gorodetsky, Sertac Karaman, Youssef M. Marzouk
2015	J	`jnl`	Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation. CoRR Alex A. Gorodetsky, Youssef M. Marzouk
2015	J	`jnl`	Optimal Low-rank Approximations of Bayesian Linear Inverse Problems. SIAM J. Sci. Comput. Alessio Spantini, Antti Solonen, Tiangang Cui, James Martin, Luis Tenorio, Youssef M. Marzouk
2014	—	`conf`	A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework. DyDESS Mohamad E. Gharamti, Youssef M. Marzouk, Xun Huan, Ibrahim Hoteit
2014	J	`jnl`	Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems. SIAM J. Sci. Comput. Jinglai Li, Youssef M. Marzouk
2014	J	`jnl`	Efficient Localization of Discontinuities in Complex Computational Simulations. CoRR Alex A. Gorodetsky, Youssef M. Marzouk
2014	J	`jnl`	Efficient Localization of Discontinuities in Complex Computational Simulations. SIAM J. Sci. Comput. Alex A. Gorodetsky, Youssef M. Marzouk
2013	J	`jnl`	Adaptive Smolyak Pseudospectral Approximations. SIAM J. Sci. Comput. Patrick R. Conrad, Youssef M. Marzouk
2013	J	`jnl`	Simulation-based optimal Bayesian experimental design for nonlinear systems. J. Comput. Phys. Xun Huan, Youssef M. Marzouk
2012	J	`jnl`	Adaptive Smolyak Pseudospectral Approximations CoRR Patrick R. Conrad, Youssef M. Marzouk
2012	J	`jnl`	Bayesian inference with optimal maps. J. Comput. Phys. Tarek A. El-Moselhy, Youssef M. Marzouk
2012	J	`jnl`	Data-free inference of the joint distribution of uncertain model parameters. J. Comput. Phys. Robert D. Berry, Habib N. Najm, Bert J. Debusschere, Youssef M. Marzouk, Helgi Adalsteinsson
2012	J	`jnl`	Sequential data assimilation with multiple models. J. Comput. Phys. Akil Narayan, Youssef M. Marzouk, Dongbin Xiu
2012	—	`conf`	Texton-based segmentation and classification of human embryonic stem cell colonies using multi-stage Bayesian level sets. ISBI Nathan Lowry, Rami Mangoubi, Mukund Desai, Youssef M. Marzouk, Paul Sammak
2011	—	`conf`	A unified approach to expectation-maximization and level set segmentation applied to stem cell and brain MRI images. ISBI Nathan Lowry, Rami Mangoubi, Mukund Desai, Youssef M. Marzouk, Paul Sammak
2011	J	`jnl`	Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics. Multiscale Model. Simul. Francesco Rizzi, Maher Salloum, Youssef M. Marzouk, R.-G. Xu, Michael L. Falk, T. P. Weihs, G. Fritz, Omar M. Knio
2009	J	`jnl`	Convergence Characteristics and Computational Cost of Two Algebraic Kernels in Vortex Methods with a Tree-Code Algorithm. SIAM J. Sci. Comput. Daehyun Wee, Youssef M. Marzouk, Fabrice Schlegel, Ahmed F. Ghoniem
2009	J	`jnl`	Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems. J. Comput. Phys. Youssef M. Marzouk, Habib N. Najm
2007	J	`jnl`	Stochastic spectral methods for efficient Bayesian solution of inverse problems. J. Comput. Phys. Youssef M. Marzouk, Habib N. Najm, Larry A. Rahn
2005	C	`conf`	Meaningful Automated Statistical Analysis of Large Computational Clusters. CLUSTER Jim M. Brandt, Ann C. Gentile, Youssef M. Marzouk, Philippe P. Pébay