Germain Forestier

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Germain Forestier trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Diederik P. Kingma
  5. Kaiming He
  6. Alex Krizhevsky
  7. Radford M. Neal
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Anthony J. Bagnall

Who trusts Germain Forestier overall

  1. Ivan Donadello
  2. Angus Dempster
  3. Luciano Serafini
  4. Geoffrey I. Webb
  5. Sana Tonekaboni
  6. Tian Zhou
  7. Mononito Goswami
  8. Daniel F. Schmidt

Papers from Germain Forestier's perspective

Ordered by how strongly the researchers Germain Forestier 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers