Jean-Baptiste Lespiau

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 12 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jean-Baptiste Lespiau trusts overall

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

  1. Richard S. Sutton
  2. Michael H. Bowling
  3. Marc Lanctot
  4. Michael L. Littman
  5. Martin A. Zinkevich
  6. Johannes Heinrich
  7. Diederik P. Kingma
  8. Geoffrey E. Hinton
  9. David Silver
  10. Yoshua Bengio

Papers from Jean-Baptiste Lespiau's perspective

Ordered by how strongly the researchers Jean-Baptiste Lespiau trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers