Chris J. Oates

Statistics and Probability · 2011–2021

A researcher in the Science corpus: 17 papers; trusts 157 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Chris J. Oates trusts overall

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

  1. Mark A. Girolami
  2. Nial Friel
  3. Ben Calderhead
  4. Francis R. Bach
  5. Radford M. Neal
  6. Anthony OʼHagan
  7. Josef Dick
  8. Antonietta Mira
  9. Peter J. Green
  10. Paul Glasserman

Who trusts Chris J. Oates overall

  1. Qiang Liu
  2. Jackson Gorham
  3. Mark A. Girolami
  4. Lester W. Mackey
  5. Francis R. Bach
  6. Rémi Bardenet
  7. Nial Friel
  8. Dilin Wang
  9. François‐Xavier Briol
  10. Jon Cockayne

Papers from Chris J. Oates's perspective

Ordered by how strongly the researchers Chris J. Oates 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers