Sophie Denève

Cognitive Neuroscience · 2001–2016

A researcher in the Science corpus: 6 papers; trusts 28 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Sophie Denève trusts overall

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

  1. Marc O. Ernst
  2. Paul Glimcher
  3. Lawrence R. Rabiner
  4. Wilson S. Geisler
  5. M. Banks
  6. Aldo Rustichini
  7. Geoffrey E. Hinton
  8. Brendan J. Frey
  9. Michael N. Shadlen
  10. William T. Newsome

Who trusts Sophie Denève overall

  1. Lars Buesing
  2. Karl J. Friston
  3. Wolfgang Maass
  4. Alexandre Pouget
  5. Dejan Pecevski
  6. Peter S. Dayan
  7. Yanping Huang
  8. Zoubin Ghahramani
  9. Robert C. Wilson
  10. Bernhard Nessler

Papers from Sophie Denève's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers