Elie Bursztein

Artificial Intelligence · 2010–2019

A researcher in the Science corpus: 8 papers; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Elie Bursztein trusts overall

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

  1. David G. Lowe
  2. Jeff Yan
  3. Yann LeCun
  4. Philippe Golle
  5. John F. Canny
  6. Christopher Evans
  7. Iroon Polytechniou
  8. Corinna Cortes
  9. Kumar Chellapilla
  10. Ahmad Salah El Ahmad

Who trusts Elie Bursztein overall

  1. Tuan Anh Le
  2. Dileep George
  3. Atilim Gunes Baydin
  4. José Hernandez-Orallo
  5. Frank D. Wood
  6. Wolfgang Lehrach
  7. Igino Corona
  8. Jonathan Aigrain
  9. Suphannee Sivakorn
  10. Ken Kansky

Papers from Elie Bursztein's perspective

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

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

Their papers