Christophe Gravier

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Christophe Gravier trusts overall

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

  1. Oriol Vinyals
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Sepp Hochreiter
  6. Christopher D. Manning
  7. Tomas Mikolov
  8. Diederik P. Kingma
  9. J. Urgen Schmidhuber
  10. Alex Krizhevsky

Who trusts Christophe Gravier overall

  1. Nina Poerner

Papers from Christophe Gravier's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Gradient-based learning applied to document recognition
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers