Louis Castricato

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Louis Castricato trusts overall

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

  1. Kaiming He
  2. Alec Radford
  3. Leland McInnes
  4. Melissa Roemmele
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Angela Fan

Who trusts Louis Castricato overall

  1. Robert Kirk

Papers from Louis Castricato's perspective

Ordered by how strongly the researchers Louis Castricato 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. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers