Gabriel Grand

Materials Chemistry · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gabriel Grand trusts overall

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

  1. Jesse Vig
  2. Jacob Devlin
  3. Weihua Hu
  4. Yinhan Liu
  5. Mario Krenn
  6. Kevin Yang
  7. Geoffrey E. Hinton
  8. Philippe Schwaller
  9. Diederik P. Kingma

Who trusts Gabriel Grand overall

  1. Yuanqi Du
  2. Ross Irwin
  3. Carl N. Edwards

Papers from Gabriel Grand's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet classification with deep convolutional neural networks
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers