Stanislas Chambon

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stanislas Chambon trusts overall

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

  1. Jerome H. Friedman
  2. Orestis Tsinalis
  3. Diederik P. Kingma
  4. Tianqi Chen
  5. James Bergstra
  6. Geoffrey E. Hinton
  7. Carrie A. Joyce
  8. Paul M. Matthews
  9. Jimmy Ba
  10. Lucas C. Parra

Who trusts Stanislas Chambon overall

  1. Ruocheng Guo
  2. Yannick Roy
  3. Emadeldeen Eldele
  4. Huy P Phan

Papers from Stanislas Chambon's perspective

Ordered by how strongly the researchers Stanislas Chambon trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers