Raphael Lopez Kaufman

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Raphael Lopez Kaufman trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Jimmy Ba
  5. Alex Krizhevsky
  6. Kaiming He
  7. J. Urgen Schmidhuber
  8. Yann LeCun
  9. Alex Graves
  10. Ross B. Girshick

Who trusts Raphael Lopez Kaufman overall

  1. Sjoerd van Steenkiste
  2. Klaus Greff
  3. J. Urgen Schmidhuber
  4. Aleksandar Stani'c
  5. Adam R. Kosiorek
  6. Francesco Locatello
  7. Thomas Kipf
  8. Martin Engelcke

Papers from Raphael Lopez Kaufman's perspective

Ordered by how strongly the researchers Raphael Lopez Kaufman 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers