Youssef M. Marzouk

Statistics and Probability · 2005–2016

A researcher in the Science corpus: 11 papers; trusts 142 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 188 citations into it; #865 of 12,932 by trust here, #1,366 by citations
• Artificial Intelligence — 69 citations into it; #3,559 of 35,345 by trust here, #9,557 by citations
• Environmental Engineering — 62 citations into it
• Statistical and Nonlinear Physics — 60 citations into it; #568 of 10,127 by trust here, #2,074 by citations
• Probabilistic & Bayesian Methods — 45 citations into it
• Computational Theory and Mathematics — 41 citations into it; #5,813 of 12,182 by trust here, #7,851 by citations
• Applied Mathematics — 28 citations into it
• Mathematical Physics — 28 citations into it

Whom Youssef M. Marzouk trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Dongbin Xiu
2. G. Em Karniadakis
3. Jingbo Wang
4. Habib N. Najm
5. Andrew Gelman
6. Radford M. Neal
7. Nicholas Zabaras
8. Cédric Villani
9. Hermann G. Matthies
10. Bernard Walter Silverman

Who trusts Youssef M. Marzouk overall

1. Xun Huan
2. Liang Yan
3. Hongqiao Wang
4. James Martin
5. Tarek A. El-Moselhy
6. Benjamin Peherstorfer
7. Eric Laloy
8. Ling Guo
9. Dongbin Xiu
10. Steven Atkinson

Papers from Youssef M. Marzouk's perspective

Ordered by how strongly the researchers Youssef M. Marzouk trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Regression Shrinkage and Selection via the Lasso
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Stochastic spectral methods for efficient Bayesian solution of inverse problems (2005) — 516 citations
• Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems (2008) — 444 citations
• A stochastic collocation approach to Bayesian inference in inverse problems (2009) — 314 citations
• Uncertainty quantification in chemical systems (2009) — 147 citations
• Multifidelity importance sampling (2016) — 140 citations
• Surrogate and reduced-order modeling: a comparison of approaches for large-scale statistical inverse problems [Chapter 7] (2010) — 152 citations
• Bayesian inference with optimal maps (2011) — 311 citations
• Simulation-based optimal Bayesian experimental design for nonlinear systems (2011) — 482 citations
• An introduction to sampling via measure transport (2016) — 97 citations
• Bayesian inference of chemical kinetic models from proposed reactions (2015) — 62 citations
• Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition (2015) — 44 citations