Hendrik Kück

Probabilistic & Bayesian Methods · 2009

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hendrik Kück trusts overall

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

  1. Hagai Thomas Attias
  2. Peter J. Green
  3. Andrew Y. Ng
  4. Peter S. Dayan
  5. Marc Toussaint
  6. Geoffrey E. Hinton
  7. Michael I. Jordan
  8. Matthew D. Hoffman

Who trusts Hendrik Kück overall

  1. Yutian Chen
  2. Ziyun Wang
  3. Marc Toussaint
  4. Matthew W. Hoffman
  5. Bobak Shahriari

Papers from Hendrik Kück's perspective

Ordered by how strongly the researchers Hendrik Kück 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. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. GENERATIVE ADVERSARIAL NETS
  10. PEGASUS: A policy search method for large MDPs and POMDPs

Their papers