Ryan Martin

Statistics and Probability · 2009–2021

A researcher in the Science corpus: 7 papers; trusts 94 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan Martin trusts overall

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

  1. James O. Berger
  2. D. R. Cox
  3. Donald Fraser
  4. Tong Zhang
  5. Robert Tibshirani
  6. Trevor J. Hastie
  7. Arthur P. Dempster
  8. Jan Hannig
  9. Lawrence D. Brown
  10. Iain M. Johnstone

Who trusts Ryan Martin overall

  1. Stéphanie van der Pas
  2. Jan Hannig
  3. A. van der Vaart
  4. Hari Iyer
  5. Botond Szab'o
  6. B. Kleijn
  7. Lianming Wang
  8. Edwin Fong
  9. Randy C. S. Lai
  10. Christopher C. Holmes

Papers from Ryan Martin's perspective

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

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

Their papers