Edouard Leurent

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Edouard Leurent trusts overall

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

  1. Sergey Levine
  2. Pieter Abbeel
  3. Richard S. Sutton
  4. Shai Shalev-Shwartz
  5. J. Urgen Schmidhuber
  6. Martin A. Riedmiller
  7. Geoffrey E. Hinton
  8. Andrew Y. Ng
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Edouard Leurent overall

  1. Szilárd Aradi
  2. B. R. Kiran

Papers from Edouard Leurent's perspective

Ordered by how strongly the researchers Edouard Leurent 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers