Guillaume Hennequin

Cognitive Neuroscience · 2013–2021

A researcher in the Science corpus: 6 papers; trusts 99 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Guillaume Hennequin trusts overall

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

  1. James Martens
  2. Diederik P. Kingma
  3. Gina G. Turrigiano
  4. Radford M. Neal
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Shun-ichi Amari
  9. Roger Baker Grosse
  10. Alex Krizhevsky

Who trusts Guillaume Hennequin overall

  1. Friedemann Zenke
  2. Wulfram Gerstner
  3. Ta-Chu Kao
  4. Pierre Yger
  5. Guodong Zhang
  6. Maxim Volgushev

Papers from Guillaume Hennequin's perspective

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

Their papers