David J. Wald

Science · 2002–2014

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Whom David J. Wald trusts overall

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

  1. Stéphane Mallat

Who trusts David J. Wald overall

  1. N. V. Elst
  2. Jean-Philippe Avouac
  3. E. Brodsky
  4. Z. Duputel
  5. Stephan T. Grilli

Papers from David J. Wald's perspective

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

  1. A wavelet tour of signal processing
  2. What Can Strong-Motion Data Tell Us about Slip-Weakening Fault-Friction Laws?
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. GradientBased Learning Applied to Document Recognition
  7. This PDF file includes: Materials and Methods
  8. Histograms of oriented gradients for human detection
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Backpropagation Applied to Handwritten Zip Code Recognition

Their papers