Robert A. Rigby

Statistics and Probability · 2003–2019

A researcher in the Science corpus: 9 papers; trusts 29 researchers and is trusted by 81 researchers here, as inferred from the citation graph.

Subfields

Whom Robert A. Rigby trusts overall

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

  1. Eric R. Ziegel
  2. Youngjo Lee
  3. Hirotugu Akaike
  4. D. Stasinopoulos
  5. John A. Nelder
  6. David Ruppert
  7. Simon N. Wood
  8. Denise Draper
  9. Bernard Walter Silverman
  10. M. Chris Jones

Who trusts Robert A. Rigby overall

  1. N. Klein
  2. Thomas Kneib
  3. Torsten Hothorn
  4. D. Stasinopoulos
  5. Mikis D. Stasinopoulos
  6. Rodrigo Rossetto Pescim
  7. F. Serinaldi
  8. M. de Onís
  9. Raydonal Ospina
  10. Myle Ott

Papers from Robert A. Rigby's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers