Frank Nielsen

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Frank Nielsen trusts overall

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

  1. Gene H. Golub
  2. Andrea Vattani
  3. Jon M. Kleinberg
  4. Moses Charikar
  5. Mark Newman
  6. F. Gall

Papers from Frank Nielsen's perspective

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

  1. Matrix computations
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Neural Networks for Pattern Recognition
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Graph structure in the Web (Comput. Networks)

Their papers