Lionel Mathelin
Statistics and Probability · 2003–2012
A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 34 citations into it; #2,978 of 12,932 by trust here, #4,253 by citations
- Environmental Engineering — 25 citations into it; #1,659 of 5,479 by trust here, #2,867 by citations
- Statistical and Nonlinear Physics — 16 citations into it
- Computational Mechanics — 15 citations into it; #4,020 of 10,001 by trust here, #5,157 by citations
- Civil and Structural Engineering — 10 citations into it; #1,507 of 6,160 by trust here, #4,455 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Aerospace Engineering — 6 citations into it
Whom Lionel Mathelin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dongbin Xiu
- G. Em Karniadakis
- Stephen J. Wright
- Robert Tibshirani
- E.J. Candes
- Fabio Nobile
- Ivo Babuska
- Michael Zibulevsky
- O. L. Le Maître
- Bradley Efron
Who trusts Lionel Mathelin overall
- Anthony Nouy
- Dongbin Xiu
- Alireza Doostan
- Heng Li
- Jerrad Hampton
- Liang Yan
- Mohammad Hadigol
- Dongxiao Zhang
- A. Manan
- Fabio Nobile
Papers from Lionel Mathelin's perspective
Ordered by how strongly the researchers Lionel Mathelin trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Atomic Decomposition by Basis Pursuit
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- Learning Multiple Layers of Features from Tiny Images
- Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos
- ImageNet classification with deep convolutional neural networks
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
Their papers
- Stochastic approaches to uncertainty quantification in CFD simulations (2005) — 303 citations
- Dual-based {\itshape a posteriori} error estimate for stochastic finite element methods (2007) — 46 citations
- A compressed sensing approach for partial differential equations with random input data (2012) — 84 citations
- Asynchronous Time Integration for Polynomial Chaos Expansion of Uncertain Periodic Dynamics (2010) — 52 citations
- A Stochastic Collocation Algorithm for Uncertainty Analysis (2003) — 199 citations