Othmane Sebbouh

Optimization & Training · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 68 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Othmane Sebbouh trusts overall

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

  1. Peter Richtárik
  2. Yurii E. Nesterov
  3. Francis R. Bach
  4. Zeyuan Allen-Zhu
  5. Robert Mansel Gower
  6. Shai Shalev-Shwartz
  7. Tong Zhang
  8. Mark W. Schmidt
  9. Chih-Jen Lin
  10. Rie Johnson

Who trusts Othmane Sebbouh overall

  1. Nicolas Loizou
  2. Hugo Berard
  3. Ahmed Khaled
  4. Simon Lacoste-Julien
  5. Antonio Orvieto
  6. Robert Mansel Gower

Papers from Othmane Sebbouh's perspective

Ordered by how strongly the researchers Othmane Sebbouh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers