Cédric Richard

Computational Mechanics · 2009–2017

A researcher in the Science corpus: 4 papers; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Cédric Richard trusts overall

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

  1. Bernhard Schölkopf
  2. Grace Wahba
  3. Alex Smola
  4. Rohan Shah
  5. Johan A. K. Suykens
  6. Sebastian Mika
  7. Ali H. Sayed
  8. Jyrki Kivinen
  9. Vladimir Naumovich Vapnik
  10. David L. Donoho

Who trusts Cédric Richard overall

  1. Mohammad Rostami
  2. Jie Chen
  3. Paul Honeine

Papers from Cédric Richard's perspective

Ordered by how strongly the researchers Cédric Richard 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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