Laurianne David

Computational Theory and Mathematics · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Laurianne David trusts overall

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

  1. Esben Jannik Bjerrum
  2. Nadine Schneider
  3. Marwin H. S. Segler
  4. Justin Gilmer
  5. Roger A. Sayle
  6. Josep Arús‐Pous
  7. Clare F. Macrae
  8. Egon Willighagen
  9. Gregory A. Landrum
  10. Peter W. Battaglia

Papers from Laurianne David's perspective

Ordered by how strongly the researchers Laurianne David trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers