Youssef Marzouk

1. Infinite-Dimensional Diffusion Models
   2023/02/20 by Jakiw Pidstrigach, Youssef Marzouk, Pidstrigach, Jakiw +4 · 8 citations
   Computer Science · Mathematics · #Generative Adversarial Networks and Image Synthesis #Bayesian Methods and Mixture Models #Markov Chains and Monte Carlo Methods
2. Sequential Bayesian optimal experimental design via approximate dynamic programming
   2016/04/28 by Xun Huan, Huan, Xun, Youssef Marzouk +1 · 4 citations
   Computer Science · Decision Sciences · Engineering · #49L20 #62C10 #62F15 #62K05 #62L05 #90C39 #Advanced Control Systems Optimization #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Optimal Experimental Design Methods #Optimization and Control (math.OC)
3. Goal-oriented optimal approximations of Bayesian linear inverse problems
   2016/07/07 by Alessio Spantini, Tiangang Cui, Spantini, Alessio +7 · 3 citations
   Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Statistical Methods and Inference
4. High-Dimensional Stochastic Optimal Control using Continuous Tensor\n Decompositions
   2016/11/15 by Alex Gorodetsky, Gorodetsky, Alex A., Sertaç Karaman +3 · 3 citations
   Computer Science · Mathematics · Physics and Astronomy · #49L20 #90C40 #93E20 #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.8 #I.2.9 #Robotics (cs.RO) #Solar and Space Plasma Dynamics #Systems and Control (eess.SY) #Tensor decomposition and applications #electronic engineering #information engineering
5. Certified dimension reduction in nonlinear Bayesian inverse problems
   2018/07/02 by Olivier Zahm, Tiangang Cui, Zahm, Olivier +7 · 3 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Numerical Analysis (math.NA) #Probability (math.PR) #Statistical Methods and Inference
6. A layered multiple importance sampling scheme for focused optimal Bayesian experimental design
   2019/03/26 by Chi Feng, Youssef Marzouk, Feng, Chi +1 · 3 citations
   Decision Sciences · Computer Science · #Probabilistic and Robust Engineering Design #Optimal Experimental Design Methods #Advanced Multi-Objective Optimization Algorithms
7. On minimax density estimation via measure transport
   2022/07/20 by Sven Wang, Youssef Marzouk, Wang, Sven +1 · 3 citations
   Mathematics · #Statistical Methods and Inference #Markov Chains and Monte Carlo Methods
8. Exploiting network topology for large-scale inference of nonlinear\n reaction models
   2017/05/12 by Nikhil Galagali, Youssef Marzouk, Galagali, Nikhil +1 · 1 citation
   Computer Science · Engineering · Materials Science · #Computation (stat.CO) #Computational Drug Discovery Methods #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #Fault Detection and Control Systems #Finance #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM) #and Science (cs.CE)
9. Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting
   2017/11/02 by Rebecca Morrison, Ricardo Baptista, Morrison, Rebecca E. +3 · 1 citation
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
10. Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
    2024/11/11 by Ricardo Baptista, Baptista, Ricardo, Aram-Alexandre Pooladian +7 · 3 citations
    Mathematics · #Markov Chains and Monte Carlo Methods
11. A transport-based multifidelity preconditioner for Markov chain Monte\n Carlo
    2018/08/28 by Benjamin Peherstorfer, Peherstorfer, Benjamin, Youssef Marzouk +1 · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Numerical Analysis (math.NA) #Probability (math.PR) #Statistical Methods and Bayesian Inference
12. Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design
    2020/06/03 by Jayanth Jagalur‐Mohan, Jagalur-Mohan, Jayanth, Youssef Marzouk +1 · 1 citation
    Computer Science · Engineering · Mathematics · #Complexity and Algorithms in Graphs #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
13. Learning non-Gaussian graphical models via Hessian scores and triangular transport
    2021/01/08 by Ricardo Baptista, Youssef Marzouk, Baptista, Ricardo +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Bayesian Modeling and Causal Inference #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metabolomics and Mass Spectrometry Studies
14. A trust-region method for derivative-free nonlinear constrained stochastic optimization
    2017/03/12 by F. Augustin, Menhorn, F., Augustin, F. +3 · 1 citation
    Computer Science · Mathematics · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Advanced Optimization Algorithms Research #Risk and Portfolio Optimization
15. Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
    2025/02/19 by Liviu Aolaritei, Aolaritei, Liviu, Zheyu Oliver Wang +7 · 1 voice · 2 citations
    #stat.ML #cs.LG #math.ST #stat.ME
16. Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
    2023/01/31 by Aimee Maurais, Terrence Alsup, Maurais, Aimee +5 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Time Series Analysis and Forecasting
17. Weighted quantization using MMD: From mean field to mean shift via gradient flows
    2025/02/14 by Ayoub Belhadji, Daniel Sharp, Belhadji, Ayoub +3 · 1 citation
    Computer Science · #Advanced Data Compression Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
18. Bayesian optimal experimental design with Wasserstein information criteria
    2025/04/14 by Tapio Helin, Youssef Marzouk, Helin, Tapio +3 · 2 citations
    Decision Sciences · Computer Science · Engineering · #Optimal Experimental Design Methods #Advanced Multi-Objective Optimization Algorithms #Manufacturing Process and Optimization
19. Dynamical Low-Rank Smoothing
    2026/07/29 by Youssef Marzouk, Fabio Nobile, Fabio Zoccolan
    Mathematics · Computer Science · #math.NA #cs.NA #msc:62M20 #msc:60G35 #msc:60H35 #msc:65C35 #msc:65F55
20. Dynamical Low-Rank Filters for Data Assimilation
    2026/07/29 by Yoshihito Kazashi, Youssef Marzouk, Fabio Nobile +1 · 1 citation
    Mathematics · Computer Science · #math.NA #cs.NA #msc:60G35 #msc:60H35 #msc:62M20 #msc:65C35 #msc:65F55