Jakob Runge

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 7 papers; trusts 37 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jakob Runge trusts overall

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

  1. Peter Spirtes
  2. Jiji Zhang
  3. Clive W. J. Granger
  4. David Maxwell Chickering
  5. Clark Glymour
  6. Diego Colombo
  7. J. Ramsey
  8. Kun Zhang
  9. Thomas Schreiber
  10. Jie Sun

Who trusts Jakob Runge overall

  1. Peer Nowack
  2. Ignavier Ng
  3. Guiomar Niso
  4. Marlene Kretschmer
  5. Matthew James Vowels
  6. Seth R. Flaxman
  7. Ali Shojaie
  8. Zhuangyan Fang

Papers from Jakob Runge's perspective

Ordered by how strongly the researchers Jakob Runge 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. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. GENERATIVE ADVERSARIAL NETS
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers