Raphaël Marinier

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 10 papers; trusts 305 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Raphaël Marinier trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Kaiming He
  8. Alex Graves
  9. Oriol Vinyals
  10. Ronald J. Williams

Who trusts Raphaël Marinier overall

  1. Dongchao Yang
  2. Zalán Borsos
  3. Rongjie Huang
  4. Xu Tan
  5. Shansi Zhang
  6. Ya-Zhen Song
  7. Kai Shen
  8. Leonardo Banh
  9. Andreas Blattmann

Papers from Raphaël Marinier's perspective

Ordered by how strongly the researchers Raphaël Marinier 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. GENERATIVE ADVERSARIAL NETS
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers