Maxime Peyrard

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 6 papers; trusts 145 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Maxime Peyrard trusts overall

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

  1. Chin-Yew Lin
  2. Ani Nenkova
  3. Annie Louis
  4. John M. Conroy
  5. D. Gillick
  6. Peter A. Rankel
  7. Günes Erkan
  8. Tomas Mikolov
  9. Yoshua Bengio
  10. Geoffrey E. Hinton

Who trusts Maxime Peyrard overall

  1. Manik Bhandari
  2. Pierre Colombo
  3. Rishi Bommasani
  4. Daniel Deutsch
  5. Yang Gao
  6. Mousumi Akter
  7. Wei Zhao
  8. Pranav Narayan Gour
  9. Nicholas Egan
  10. Florian Böhm

Papers from Maxime Peyrard's perspective

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

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

Their papers