Emmanuel Prouff

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 8 papers; trusts 107 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Emmanuel Prouff trusts overall

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

  1. Stefan Mangard
  2. Suresh Chari
  3. Yuval Ishai
  4. Silvio Micali
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Stefan Dziembowski
  8. Alex Krizhevsky
  9. Christian Szegedy
  10. Mehdi-Laurent Akkar

Who trusts Emmanuel Prouff overall

  1. Houssem Maghrebi
  2. Gilles Barthe
  3. Thibault Portigliatti
  4. Lejla Batina
  5. Ivan Bjerre Damgård
  6. Ankit Thakkar
  7. Claude Carlet

Papers from Emmanuel Prouff's perspective

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

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