Tom Rainforth

Artificial Intelligence · 2016–2024

A researcher in the Science corpus: 11 papers; trusts 287 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Rainforth trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Christophe Andrieu
  4. Yoshua Bengio
  5. Radford M. Neal
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Max Welling
  9. Ruslan Salakhutdinov
  10. J. Urgen Schmidhuber

Who trusts Tom Rainforth overall

  1. Sebastian Nowozin
  2. Tuan Anh Le
  3. Hongseok Yang
  4. R. Cornish
  5. Vaden Masrani
  6. Artem Sobolev
  7. Yuge Shi
  8. Frank D. Wood
  9. Pierre-Alexandre Mattei
  10. Erik A. Daxberger

Papers from Tom Rainforth's perspective

Ordered by how strongly the researchers Tom Rainforth 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers