Olivier Catoni

Statistical Learning Theory · 2004–2016

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 89 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier Catoni trusts overall

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

  1. David A. McAllester
  2. Alexandre B. Tsybakov
  3. Pierre Alquier
  4. Sara A. van de Geer
  5. Noga Alon
  6. Nicholas I. Fisher
  7. Vladimir Naumovich Vapnik
  8. Enno Mammen
  9. Lucien Birgé
  10. Tong Zhang

Who trusts Olivier Catoni overall

  1. Pierre Alquier
  2. Matthieu Lerasle
  3. Pascal Germain
  4. Ben London
  5. Guillaume Lecué
  6. Alexandre B. Tsybakov
  7. Jaouad Mourtada
  8. David A. McAllester
  9. Stanislav Minsker
  10. Roberto Imbuzeiro Oliveira

Papers from Olivier Catoni's perspective

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

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

Their papers