Frank Jäkel

Statistics and Probability · 2006–2016

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Frank Jäkel trusts overall

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

  1. Tomaso A. Poggio
  2. Roger N. Shepard
  3. Christopher K. I. Williams
  4. John K. Kruschke
  5. David Ruppert
  6. Kenneth Train
  7. Douglas L. Medin
  8. David E. Rumelhart
  9. Maximilian Riesenhuber
  10. Radford M. Neal

Who trusts Frank Jäkel overall

  1. Yee Whye Teh
  2. T. Griffiths
  3. Michael I. Jordan
  4. Zoubin Ghahramani
  5. Kurt T. Miller
  6. Emily B. Fox
  7. Alan Jern

Papers from Frank Jäkel's perspective

Ordered by how strongly the researchers Frank Jäkel 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers