Bradley Gram-Hansen

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bradley Gram-Hansen trusts overall

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

  1. Frank D. Wood
  2. Radford M. Neal
  3. John Salvatier
  4. Jan-Willem van de Meent
  5. Tom Rainforth
  6. Matthew D. Hoffman
  7. Diederik P. Kingma
  8. Geoffrey E. Hinton
  9. Yann LeCun
  10. Max Welling

Papers from Bradley Gram-Hansen's perspective

Ordered by how strongly the researchers Bradley Gram-Hansen trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers