François Lanusse

Astronomy and Astrophysics · with Li · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom François Lanusse trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. X. Zhang
  6. Shaoqing Ren
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. T. Collett
  10. Ronald J. Williams

Who trusts François Lanusse overall

  1. Ishan Durugkar

Papers from François Lanusse's perspective

Ordered by how strongly the researchers François Lanusse 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Going deeper with convolutions

Their papers