A. Alaoui

Statistics and Probability · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom A. Alaoui trusts overall

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

  1. Michael W. Mahoney
  2. Petros Drineas
  3. Francis R. Bach
  4. Iain M. Johnstone
  5. Yuchen Zhang
  6. Alex Gittens
  7. Eric R. Ziegel
  8. Joel A. Tropp
  9. Martin J. Wainwright
  10. Grace Wahba

Who trusts A. Alaoui overall

  1. Alessandro Rudi
  2. Francis R. Bach
  3. Bharath K. Sriperumbudur
  4. Lorenzo Rosasco
  5. Zoltán Szabó
  6. Luigi Carratino
  7. Saeed Rahmani
  8. Yun Yang
  9. Asiye Baghbani
  10. Per-Gunnar Martinsson

Papers from A. Alaoui's perspective

Ordered by how strongly the researchers A. Alaoui 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  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. 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