Youssef Marzouk

25 papers A* 1A 1Journal 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation.
CoRR
Qidong Yang, Qianyu Julie Zhu, Jonathan Giezendanner, Youssef Marzouk, Stephen Bates, Sherrie Wang
2026 J jnl
Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes.
CoRR
Joanna Zou, Youssef Marzouk
2026 J jnl
Goal-oriented learning of stochastic dynamical systems using error bounds on path-space observables.
CoRR
Joanna Zou, Han Cheng Lie, Youssef Marzouk
2026 J jnl
LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and Surrogate-Driven Measure Transport.
J. Mach. Learn. Res.
Lianghao Cao, Joshua Chen, Michael Brennan, Thomas O'Leary-Roseberry, Youssef Marzouk, Omar Ghattas
2026 J jnl
Sampling through iterated approximation: Gradient-free and multi-fidelity Bayesian inference via transport.
CoRR
Daniel Sharp, Bart van Bloemen Waanders, Youssef Marzouk
2025 J jnl
An Eulerian Perspective on Straight-Line Sampling.
CoRR
Panos Tsimpos, Youssef Marzouk
2025 J jnl
Bayesian optimal experimental design with Wasserstein information criteria.
CoRR
Tapio Helin, Youssef Marzouk, Jose Rodrigo Rojo-Garcia
2025 J jnl
Can Bayesian Neural Networks Make Confident Predictions?
CoRR
Katharine Fisher, Youssef Marzouk
2025 J jnl
Canonical Bayesian Linear System Identification.
CoRR
Andrey Bryutkin, Matthew E. Levine, Iñigo Urteaga, Youssef Marzouk
2025 A conf
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps.
AISTATS
Ricardo Baptista, Aram-Alexandre Pooladian, Michael Brennan, Youssef Marzouk, Jonathan Niles-Weed
2025 J jnl
Dimension reduction via score ratio matching.
Trans. Mach. Learn. Res.
Ricardo Baptista, Michael Brennan, Youssef Marzouk
2025 J jnl
Discussion of "Experimental Design and Modeling for Forward-Inverse Maps" by R. Barton & M. Morris, appearing in
Technometrics
Youssef Marzouk
2025 J jnl
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference.
SIAM J. Sci. Comput.
Zheyu Oliver Wang, Ricardo Baptista, Youssef Marzouk, Lars Ruthotto, Deepanshu Verma
2025 J jnl
Efficient sampling for sparse Bayesian learning using hierarchical prior normalization.
CoRR
Jan Glaubitz, Youssef Marzouk
2025 J jnl
Generative Modeling through Spectral Analysis of Koopman Operator.
CoRR
Yuanchao Xu, Fengyi Li, Masahiro Fujisawa, Youssef Marzouk, Isao Ishikawa
2025 J jnl
Learning Paths for Dynamic Measure Transport: A Control Perspective.
CoRR
Aimee Maurais, Bamdad Hosseini, Youssef Marzouk
2025 J jnl
Learning local neighborhoods of non-Gaussian graphical models: A measure transport approach.
CoRR
Sarah Liaw, Rebecca E. Morrison, Youssef Marzouk, Ricardo Baptista
2025 J jnl
Localized Diffusion Models for High Dimensional Distributions Generation.
CoRR
Georg A. Gottwald, Shuigen Liu, Youssef Marzouk, Sebastian Reich, Xin T. Tong
2025 J jnl
Neural Triangular Transport Maps: A New Approach Towards Sampling in Lattice QCD.
CoRR
Andrey Bryutkin, Youssef Marzouk
2025 A* conf
Optimal Scheduling of Dynamic Transport.
COLT
Panos Tsimpos, Zhi Ren, Jakob Zech, Youssef Marzouk
2025 J jnl
Optimal Scheduling of Dynamic Transport.
CoRR
Panos Tsimpos, Zhi Ren, Jakob Zech, Youssef Marzouk
2025 J jnl
Precise asymptotic analysis of Sobolev training for random feature models.
CoRR
Katharine Fisher, Matthew T. C. Li, Youssef Marzouk, Timo Schorlepp
2025 J jnl
Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems.
CoRR
Jonathan Lindbloom, Mirjeta Pasha, Jan Glaubitz, Youssef Marzouk
2024 J jnl
An approximation theory framework for measure-transport sampling algorithms.
Math. Comput.
Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef Marzouk, Amir Sagiv
2024 J jnl
Infinite-Dimensional Diffusion Models.
J. Mach. Learn. Res.
Jakiw Pidstrigach, Youssef Marzouk, Sebastian Reich, Sven Wang