Marzouk, Youssef

19 publications

AISTATS 2025 Conditional Simulation via Entropic Optimal Transport: Toward Non-Parametric Estimation of Conditional Brenier Maps Ricardo Baptista, Aram-Alexandre Pooladian, Michael Brennan, Youssef Marzouk, Jonathan Niles-Weed

NeurIPS 2025 Conformal Prediction Under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations Liviu Aolaritei, Qianyu Julie Zhu, Zheyu Oliver Wang, Michael I. Jordan, Youssef Marzouk

ICLRW 2025 Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes Joanna Zou, Youssef Marzouk

TMLR 2025 Dimension Reduction via Score Ratio Matching Ricardo Baptista, Michael Brennan, Youssef Marzouk

COLT 2025 Optimal Scheduling of Dynamic Transport Panos Tsimpos, Ren Zhi, Jakob Zech, Youssef Marzouk

JMLR 2024 Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective Youssef Marzouk, Zhi Ren, Sven Wang, Jakob Zech

JMLR 2024 Infinite-Dimensional Diffusion Models Jakiw Pidstrigach, Youssef Marzouk, Sebastian Reich, Sven Wang

JMLR 2024 Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport Ricardo Baptista, Rebecca Morrison, Olivier Zahm, Youssef Marzouk

ICML 2024 Sampling in Unit Time with Kernel Fisher-Rao Flow Aimee Maurais, Youssef Marzouk

NeurIPSW 2023 Adaptive Algorithms for Continuous-Time Transport: Homotopy-Driven Sampling and a New Interacting Particle System Aimee Maurais, Youssef Marzouk

ICMLW 2023 Diffusion mAP Particle Systems for Generative Modeling Fengyi Li, Youssef Marzouk

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

NeurIPSW 2022 Dimension Reduction via Score Ratio Matching Michael Brennan, Ricardo Baptista, Youssef Marzouk

JMLR 2021 Batch Greedy Maximization of Non-Submodular Functions: Guarantees and Applications to Experimental Design Jayanth Jagalur-Mohan, Youssef Marzouk

NeurIPSW 2021 Sampling via Controlled Stochastic Dynamical Systems Benjamin Zhang, Tuhin Sahai, Youssef Marzouk

NeurIPS 2020 Greedy Inference with Structure-Exploiting Lazy Maps Michael Brennan, Daniele Bigoni, Olivier Zahm, Alessio Spantini, Youssef Marzouk

NeurIPS 2018 A Stein Variational Newton Method Gianluca Detommaso, Tiangang Cui, Youssef Marzouk, Alessio Spantini, Robert Scheichl

JMLR 2018 Inference via Low-Dimensional Couplings Alessio Spantini, Daniele Bigoni, Youssef Marzouk

NeurIPS 2017 Beyond Normality: Learning Sparse Probabilistic Graphical Models in the Non-Gaussian Setting Rebecca Morrison, Ricardo Baptista, Youssef Marzouk