D. Kühn

Management Science and Operations Research · Operational Research · 2004–2019

A researcher in the Science corpus: 14 papers; trusts 121 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

Whom D. Kühn trusts overall

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

  1. Marco Cuturi
  2. Vojtech Rödl
  3. Peter Keevash
  4. Cédric Villani
  5. Alexander Shapiro
  6. Johan Efberg
  7. Jose H. Blanchet
  8. G. Peyr'e
  9. Yann LeCun
  10. Laurent El Ghaoui

Who trusts D. Kühn overall

  1. Peter Keevash
  2. Soroosh Shafieezadeh-Abadeh
  3. John C. Duchi
  4. Hamed Rahimian
  5. Boris Defourny
  6. Jikai Zou
  7. Ruidi Chen
  8. Peyman Mohajerin Esfahani
  9. Jose H. Blanchet
  10. Shabbir Ahmed

Papers from D. Kühn's perspective

Ordered by how strongly the researchers D. Kühn 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers