Waïss Azizian

Optimization & Training · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 76 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Waïss Azizian trusts overall

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

  1. Yurii E. Nesterov
  2. Arkadi Nemirovski
  3. Gauthier Gidel
  4. Boris Polyak
  5. Paul Tseng
  6. Barak A. Pearlmutter
  7. R. Tyrrell Rockafellar
  8. Lars M. Mescheder
  9. Yossi Arjevani
  10. Individualized Treat

Who trusts Waïss Azizian overall

  1. Noah Golowich
  2. Nicolas Loizou
  3. Sarath Pattathil
  4. Tatjana Chavdarova
  5. Constantinos Daskalakis
  6. Gauthier Gidel
  7. Yu-Guan Hsieh
  8. Simon Lacoste-Julien
  9. Ioannis Mitliagkas
  10. Hugo Berard

Papers from Waïss Azizian's perspective

Ordered by how strongly the researchers Waïss Azizian 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. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers