Marie-Anne Lachaux

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 12 papers; trusts 281 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

Whom Marie-Anne Lachaux trusts overall

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

  1. Diederik P. Kingma
  2. Guillaume Lample
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Jacob Devlin
  8. Jimmy Ba
  9. Alex Graves
  10. Yann LeCun

Who trusts Marie-Anne Lachaux overall

  1. Baptiste Rozière
  2. Kurt Shuster
  3. Yichen Xu
  4. Tomasz Korbak
  5. Angela Fan
  6. Gautier Izacard
  7. Marc Szafraniec
  8. Stephen Roller
  9. Jason Aaron Edward Weston
  10. Vincent J. Hellendoorn

Papers from Marie-Anne Lachaux's perspective

Ordered by how strongly the researchers Marie-Anne Lachaux 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers