Olivier Fercoq

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 39 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier Fercoq trusts overall

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

  1. Peter Richtárik
  2. Yurii E. Nesterov
  3. Martin Takác
  4. Shai Shalev-Shwartz
  5. Robert E. Schapire
  6. Yoav Freund
  7. Yoram Singer
  8. Michael Collins
  9. Tong Zhang
  10. Indraneel Mukherjee

Who trusts Olivier Fercoq overall

  1. Peter Richtárik
  2. Martin Takác
  3. Jakub Konecný
  4. Stephen J. Wright
  5. Nicolas Loizou
  6. Virginia Smith
  7. Chenxin Ma
  8. Dominik Csiba
  9. Jakub Marecek
  10. Martin Jaggi

Papers from Olivier Fercoq's perspective

Ordered by how strongly the researchers Olivier Fercoq trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers