Gerard 't Hooft

Astronomy and Astrophysics · 2003–2014

A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 64 researchers here, as inferred from the citation graph.

Subfields

Whom Gerard 't Hooft trusts overall

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

  1. Alexander Kirillov
  2. P. Mannheim
  3. Maximilian Schlosshauer
  4. John H. Conway
  5. David Wallace
  6. Stefan Nobbenhuis

Who trusts Gerard 't Hooft overall

  1. Harvey B. Meyer
  2. D. Harlow
  3. B. Schenke
  4. N. Drukker
  5. M. Luscher
  6. Kenji Fukushima
  7. Nele Vandersickel
  8. Xiaofeng Luo
  9. Sabine Hossenfelder
  10. S. Brodsky

Papers from Gerard 't Hooft's perspective

Ordered by how strongly the researchers Gerard 't Hooft 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Long Short-Term Memory
  6. Going deeper with convolutions
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers