Alexandre Bouchard-Cot'e

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Alexandre Bouchard-Cot'e trusts overall

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

  1. A. Horowitz
  2. Martin J. Wainwright
  3. John P. Huelsenbeck
  4. Dougal Maclaurin
  5. Manfred Einsiedler
  6. Rémi Bardenet
  7. Robert J. Adler
  8. Gareth O. Roberts
  9. Michael I. Jordan
  10. Arnaud Doucet

Who trusts Alexandre Bouchard-Cot'e overall

  1. Alain Oliviero Durmus
  2. Matthias Sachs
  3. Deborshee Sen
  4. Arnaud Guillin
  5. Rémi Bardenet
  6. George Deligiannidis
  7. Arnaud Doucet
  8. Pierre Monmarch'e
  9. Jianfeng Lu
  10. David B. Dunson

Papers from Alexandre Bouchard-Cot'e's perspective

Ordered by how strongly the researchers Alexandre Bouchard-Cot'e trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers