Timothée Lacroix

Artificial Intelligence · 2016–2024

A researcher in the Science corpus: 9 papers; trusts 98 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Timothée Lacroix trusts overall

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

  1. Maximilian Nickel
  2. Antoine Bordes
  3. Diederik P. Kingma
  4. John C. Duchi
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Ilya Sutskever
  8. Jason Aaron Edward Weston
  9. Alex Krizhevsky
  10. Jimmy Ba

Who trusts Timothée Lacroix overall

  1. Apoorv Saxena
  2. Ivana Balazevic
  3. Jean Kaddour
  4. Woojeong Jin
  5. Shuai Zhang
  6. Andrea Rossi
  7. Ines Chami
  8. Adam Lerer
  9. Carl Allen
  10. Soumen Chakrabarti

Papers from Timothée Lacroix's perspective

Ordered by how strongly the researchers Timothée Lacroix 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. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers