Cyrille W. Combettes

Optimization & Training · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 84 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Cyrille W. Combettes trusts overall

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

  1. Martin Jaggi
  2. Alex Krizhevsky
  3. Robert Tibshirani
  4. Diederik P. Kingma
  5. Tong Zhang
  6. Simon Lacoste-Julien
  7. Matthew D. Zeiler
  8. Dan Garber
  9. Geoffrey E. Hinton
  10. Chih-Jen Lin

Who trusts Cyrille W. Combettes overall

  1. Thomas Kerdreux
  2. Sebastian Pokutta
  3. Hassan Mortagy
  4. Alexandre d'Aspremont
  5. Swati Gupta
  6. Lewis Liu

Papers from Cyrille W. Combettes's perspective

Ordered by how strongly the researchers Cyrille W. Combettes 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. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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