Daniel J. Gauthier

Artificial Intelligence · 2001–2021

A researcher in the Science corpus: 9 papers; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel J. Gauthier trusts overall

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

  1. Floris Takens
  2. Herbert Jaeger
  3. Yoshua Bengio
  4. Pantelis R. Vlachas
  5. Harald Haas
  6. Jaideep Pathak
  7. Nicolas Boulanger-Lewandowski
  8. Razvan Pascanu
  9. Brian R. Hunt

Who trusts Daniel J. Gauthier overall

  1. Zhimin Shi
  2. Luc Thevenaz
  3. Dibyendu Roy

Papers from Daniel J. Gauthier's perspective

Ordered by how strongly the researchers Daniel J. Gauthier trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers