Sébastien Rouault

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Sébastien Rouault trusts overall

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

  1. El Mahdi El Mhamdi
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Rachid Guerraoui
  5. L. Eon Bottou
  6. Lili Su
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Nitish Srivastava
  10. Simon S. Haykin

Who trusts Sébastien Rouault overall

  1. Virat Shejwalkar
  2. Rachid Guerraoui
  3. Lie He
  4. El Mahdi El Mhamdi
  5. El-Mahdi El-Mhamdi
  6. Shashank Rajput
  7. Luis Muñoz-González
  8. Tao Yu
  9. Sai Praneeth Karimireddy
  10. Amir Houmansadr

Papers from Sébastien Rouault's perspective

Ordered by how strongly the researchers Sébastien Rouault 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers