Pierre Dönnes

2002

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Whom Pierre Dönnes trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Gregory R. Grant
  3. Chris H. Q. Ding
  4. Bernhard Schölkopf
  5. Inna Dubchak
  6. C. Burges
  7. Alex Smola
  8. Tim J. P. Hubbard

Who trusts Pierre Dönnes overall

  1. Pedro A. Reche
  2. Ruth E. Soria-Guerra
  3. Christian Widmer
  4. Rohit Bhattacharya
  5. John-Paul Glutting
  6. Ricardo Nieto-Gomez
  7. Nora C. Toussaint
  8. A. Sivakumar
  9. Hong Zhang
  10. Dania O. Govea-Alonso

Papers from Pierre Dönnes's perspective

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

  1. The Nature of Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Advances in kernel methods: support vector learning
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers