Romain Couillet

Statistics and Probability · 2009–2018

A researcher in the Science corpus: 6 papers; trusts 45 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Romain Couillet trusts overall

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

  1. Noureddine El Karoui
  2. Walid Hachem
  3. J. Silverstein
  4. R. Brent Dozier
  5. Philippe Loubaton
  6. Radford M. Neal
  7. L. Eon Bottou
  8. Yann LeCun
  9. Andrew M. Saxe
  10. Alex Krizhevsky

Who trusts Romain Couillet overall

  1. Howard H. Yang
  2. Giovanni Geraci
  3. Greg Yang
  4. Tony Q. S. Quek
  5. Alessio Zappone
  6. Zhenyu A. Liao
  7. Xiucai Ding
  8. Tiefeng Jiang
  9. Erik G. Larsson
  10. Madhu S. Advani

Papers from Romain Couillet's perspective

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

Their papers