Wouter Kool

Cognitive Neuroscience · 2010–2021

A researcher in the Science corpus: 9 papers; trusts 156 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Wouter Kool trusts overall

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

  1. Geoffrey E. Hinton
  2. Oriol Vinyals
  3. Yoshua Bengio
  4. Richard S. Sutton
  5. Alex Graves
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Ronald J. Williams
  9. Alex Krizhevsky
  10. Jimmy Ba

Who trusts Wouter Kool overall

  1. Yoshua Bengio
  2. Zhiqing Sun
  3. Matthew Botvinick
  4. Xinyun Chen
  5. Auke J. Wiggers
  6. Anirudh Goyal
  7. Matthew Veres
  8. Chaitanya K. Joshi
  9. Amitai Shenhav
  10. Helena Vasconcelos

Papers from Wouter Kool's perspective

Ordered by how strongly the researchers Wouter Kool 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. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers