Jakob H. Macke

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 6 papers; trusts 85 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Jakob H. Macke trusts overall

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

  1. George Papamakarios
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Radford M. Neal
  5. Simon N. Wood
  6. Alex Krizhevsky
  7. MARK A. Beaumont
  8. Michael U Gutmann
  9. Max Welling
  10. Iain Murray

Who trusts Jakob H. Macke overall

  1. Joeri Hermans
  2. J. Brehmer
  3. George Papamakarios
  4. Gilles Louppe
  5. Justin Alsing
  6. Conor Durkan
  7. Volodimir Begy
  8. David S. Greenberg

Papers from Jakob H. Macke's perspective

Ordered by how strongly the researchers Jakob H. Macke 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  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