Géraud Blatman
Statistics and Probability · 2007–2011
A researcher in the Science corpus: 5 papers; trusts 42 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 88 citations into it; #980 of 12,932 by trust here, #1,366 by citations
- Environmental Engineering — 42 citations into it; #621 of 5,479 by trust here, #1,728 by citations
- Civil and Structural Engineering — 36 citations into it; #167 of 6,160 by trust here, #896 by citations
- Statistical and Nonlinear Physics — 14 citations into it
- Computational Theory and Mathematics — 13 citations into it
- Management Science and Operations Research — 10 citations into it
- Mechanics of Materials — 7 citations into it
- Numerical Analysis — 6 citations into it
Whom Géraud Blatman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bruno Sudret
- Dongbin Xiu
- Roger G. Ghanem
- Vladimir Naumovich Vapni
- Thomas Gerstner
- Baskar Ganapathysubramanian
- Ivo Babuska
- Seung-Kyum Choi
- Ilya M. Sobol
- G. G. Wang
Who trusts Géraud Blatman overall
- Bruno Sudret
- Anthony Nouy
- Roland Schöbi
- Sondipon Adhikari
- Qiujing Pan
- Nicolas Roussouly
- Stefano Marelli
- Sergey Oladyshkin
- T. Al‐Bittar
- E. Jacquelin
Papers from Géraud Blatman's perspective
Ordered by how strongly the researchers Géraud Blatman trusts endorse each paper. Same corpus, a different order for every researcher.
- Random number generation and Quasi-Monte Carlo methods
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
- Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Stochastic processes and orthogonal polynomials
- The Nature of Statistical Learning Theory
- High-Order Collocation Methods for Differential Equations with Random Inputs (SIAM Journal on Scientific Computing)
- A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (SIAM Review)
- Dimension–Adaptive Tensor–Product Quadrature (Computing)
Their papers
- An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2010) — 861 citations
- Sparse polynomial chaos expansions and adaptive stochastic finite elements using a regression approach (2008) — 298 citations
- Quasi-random numbers in stochastic finite element analysis (2007) — 49 citations
- Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010) — 376 citations
- Adaptive sparse polynomial chaos expansion based on least angle regression (2011) — 1,454 citations