Wouter Boomsma

Molecular Biology · 2010–2017

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Wouter Boomsma trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Taco Cohen
  4. Jimmy Ba
  5. Max Welling
  6. Andrew Zisserman
  7. J. Word
  8. Viktor Hornak
  9. Geoffrey E. Hinton
  10. Shane Ó Conchúir

Who trusts Wouter Boomsma overall

  1. Michaël Defferrard
  2. Yu-Chuan Su
  3. Taco Cohen
  4. Nathanael Perraudin
  5. Bian Li
  6. Min Liu
  7. Namrata Anand-Achim
  8. Raphael R. Eguchi
  9. Namrata Anand
  10. Chengqiang Lu

Papers from Wouter Boomsma's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers