Mark A. Davenport

Computational Mechanics · 2006–2020

A researcher in the Science corpus: 12 papers; trusts 108 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom Mark A. Davenport trusts overall

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

  1. E.J. Candes
  2. Joel A. Tropp
  3. Deanna Needell
  4. David Gross
  5. Nati Srebro
  6. Gitta Kutyniok
  7. B. Recht
  8. Terence Tao
  9. Dimitris Achlioptas
  10. Roman Vershynin

Who trusts Mark A. Davenport overall

  1. Richard Baraniuk
  2. Andrew Cotter
  3. Marco F. Duarte
  4. John C. Duchi
  5. Andreas M. Tillmann
  6. Sourav Chatterjee
  7. Yudong Chen
  8. Martin J. Wainwright
  9. Justin K. Romberg
  10. Yuejie Chi

Papers from Mark A. Davenport's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Regression Shrinkage and Selection via the Lasso

Their papers