François Bavaud

Statistics and Probability · 2006–2010

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom François Bavaud trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Vladimir Naumovich Vapnik
  3. R. Fisher
  4. John Shawe-Taylor
  5. John C. Gower
  6. Yoshua Bengio
  7. Bernhard Schölkopf
  8. Christopher K. I. Williams
  9. Nello Cristianini
  10. Christian Berg

Who trusts François Bavaud overall

  1. Krikamol Muandet

Papers from François Bavaud's perspective

Ordered by how strongly the researchers François Bavaud 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers