Judith Rousseau

Statistics and Probability · 2007–2019

A researcher in the Science corpus: 17 papers; trusts 137 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Judith Rousseau trusts overall

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

  1. Subhashis Ghosal
  2. I. Castillo
  3. A. van der Vaart
  4. Lucien Birgé
  5. Xiaotong Shen
  6. James O. Berger
  7. Linda H. Zhao
  8. Dennis D. Cox
  9. Sonia Petrone
  10. Vincent Rivoirard

Who trusts Judith Rousseau overall

  1. I. Castillo
  2. Christian P. Robert
  3. Richard Nickl
  4. Christopher C. Holmes
  5. Andriy Norets
  6. Kolyan Ray
  7. W. Kruijer
  8. Ross McVinish
  9. Mathias Drton
  10. Botond Szab'o

Papers from Judith Rousseau's perspective

Ordered by how strongly the researchers Judith Rousseau 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers