Aude Genevay

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 6 papers; trusts 52 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Aude Genevay trusts overall

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

  1. Marco Cuturi
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alessandro Lazaric
  6. Filippo Santambrogio
  7. Grgoire Montavon
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Richard S. Sutton

Who trusts Aude Genevay overall

  1. G. Peyr'e
  2. Tim Salimans
  3. Gabriel Huang
  4. Yujia Xie
  5. Adji Bousso Dieng
  6. Giulia Luise
  7. Gonzalo E. Mena
  8. Pavel E. Dvurechensky
  9. Bharath Bhushan Damodaran
  10. Marco Cuturi

Papers from Aude Genevay's perspective

Ordered by how strongly the researchers Aude Genevay 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers