M. Davies

Computational Mechanics · IEEE Transactions on Information Theory · 2005–2011

A researcher in the Science corpus: 9 papers; trusts 60 researchers and is trusted by 119 researchers here, as inferred from the citation graph.

Subfields

Whom M. Davies trusts overall

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

  1. Joel A. Tropp
  2. E.J. Candes
  3. David L. Donoho
  4. Thomas Blumensath
  5. Justin K. Romberg
  6. Scott Shaobing Chen
  7. Stéphane Mallat
  8. Yonina C. Eldar
  9. Terence Tao
  10. Moshe Mishali

Who trusts M. Davies overall

  1. Marco F. Duarte
  2. Yonina C. Eldar
  3. Simon Foucart
  4. Richard Baraniuk
  5. Thomas Blumensath
  6. Guoyin Li
  7. Justin K. Romberg
  8. Zhilin Zhang
  9. Ron Rubinstein
  10. Dimitris J. Bertsimas

Papers from M. Davies's perspective

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

  1. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Decoding by linear programming
  4. Atomic Decomposition by Basis Pursuit
  5. Stable signal recovery from incomplete and inaccurate measurements
  6. ImageNet classification with deep convolutional neural networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Matching pursuits with time-frequency dictionaries
  9. Regression Shrinkage and Selection via the Lasso
  10. Gradient-based learning applied to document recognition

Their papers