Louis-Pascal Xhonneux

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Louis-Pascal Xhonneux trusts overall

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

  1. Thomas Kipf
  2. Geoffrey E. Hinton
  3. Max Welling
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Matthew D. Zeiler
  8. Ilya Sutskever
  9. Yann LeCun
  10. T. Lindvall

Papers from Louis-Pascal Xhonneux's perspective

Ordered by how strongly the researchers Louis-Pascal Xhonneux trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers