Mathieu N. Galtier

Cognitive Neuroscience · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mathieu N. Galtier trusts overall

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

  1. Jerome H. Friedman
  2. Orestis Tsinalis
  3. Diederik P. Kingma
  4. Tianqi Chen
  5. James Bergstra
  6. Geoffrey E. Hinton
  7. Carrie A. Joyce
  8. Paul M. Matthews
  9. Jimmy Ba
  10. Lucas C. Parra

Papers from Mathieu N. Galtier's perspective

Ordered by how strongly the researchers Mathieu N. Galtier trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Deep Learning
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers