Sébastien Racanière

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 14 papers; trusts 248 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Sébastien Racanière trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Alex Graves
  5. J. Urgen Schmidhuber
  6. Radford M. Neal
  7. Richard S. Sutton
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Danilo Jimenez Rezende

Who trusts Sébastien Racanière overall

  1. David R Ha
  2. Sergey Levine
  3. Danijar Hafner
  4. Karol Gregor
  5. J. Urgen Schmidhuber
  6. Anirudh Goyal
  7. Yoshua Bengio
  8. Danilo Jimenez Rezende
  9. Yuxi Li
  10. Timothy P. Lillicrap

Papers from Sébastien Racanière's perspective

Ordered by how strongly the researchers Sébastien Racanière 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers