Mengwu Guo

Statistical and Nonlinear Physics · 2019

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mengwu Guo trusts overall

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

  1. Jan S. Hesthaven
  2. Radford M. Neal
  3. Simon S. Haykin
  4. Saifon Chaturantabut
  5. Bernard Haasdonk
  6. Kevin P. Murphy
  7. Christopher J. Paciorek
  8. Alfio Maria Quarteroni
  9. David Amsallem
  10. Christophe Audouze

Who trusts Mengwu Guo overall

  1. Stefania Fresca
  2. Andrea Manzoni
  3. Luca Dede'

Papers from Mengwu Guo's perspective

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

  1. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
  2. Pattern Recognition and Machine Learning
  3. EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
  4. Nonlinear Model Reduction via Discrete Empirical Interpolation (SIAM Journal on Scientific Computing)
  5. ImageNet classification with deep convolutional neural networks
  6. REDUCED BASIS METHOD FOR FINITE VOLUME APPROXIMATIONS OF PARAMETRIZED LINEAR EVOLUTION EQUATIONS
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers