Guillaume P. Dehaene

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guillaume P. Dehaene trusts overall

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

  1. Felix Otto
  2. Radford M. Neal
  3. Vivek S. Borkar
  4. Matthew D. Hoffman
  5. Cédric Villani
  6. David M. Blei
  7. Andrew Gelman
  8. Adrien Saumard
  9. Cristinel Mortici
  10. Alp Kucukelbir

Papers from Guillaume P. Dehaene's perspective

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

Their papers