Laurent Girin

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 106 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Laurent Girin trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Graves
  5. Radford M. Neal
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Aäron van den Oord
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Laurent Girin overall

  1. Zhaoxi Mu

Papers from Laurent Girin's perspective

Ordered by how strongly the researchers Laurent Girin 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers