César Laurent

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 7 papers; trusts 153 researchers and is trusted by 75 researchers here, as inferred from the citation graph.

Subfields

Whom César Laurent trusts overall

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

  1. Yoshua Bengio
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Alex Graves
  5. Ilya Sutskever
  6. Sergey Ioffe
  7. Diederik P. Kingma
  8. Kaiming He
  9. Yann LeCun
  10. Sepp Hochreiter

Who trusts César Laurent overall

  1. Mirco Ravanelli
  2. Yoshua Bengio
  3. Lei Huang
  4. Jimmy Ba
  5. Yonatan Belinkov
  6. Quoc V. Le
  7. Tom Sercu
  8. Philemon Brakel
  9. Andrew Zisserman
  10. Geoffrey E. Hinton

Papers from César Laurent's perspective

Ordered by how strongly the researchers César Laurent 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers