Amaury de Wargny

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amaury de Wargny trusts overall

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

  1. Craig Gentry
  2. Shai Halevi
  3. Zvika Brakerski
  4. Nigel P. Smart
  5. Pascal Paillier
  6. Geoffrey E. Hinton
  7. Sergey Ioffe
  8. Alex Krizhevsky
  9. Ivan Bjerre Damgård
  10. Yoshua Bengio

Who trusts Amaury de Wargny overall

  1. Sameer Wagh
  2. Xuefei Yin
  3. Ehsan Hesamifard
  4. Fatemehsadat Mireshghallah
  5. Assi Barak
  6. Qinbin Li
  7. Amartya Sanyal
  8. Eleftheria Makri

Papers from Amaury de Wargny's perspective

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

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

Their papers