Christopher P. Diehl

Artificial Intelligence · 2005

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher P. Diehl trusts overall

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

  1. Mark Newman
  2. Linton C. Freeman
  3. Thomas Gärtner
  4. Diane Joyce Cook
  5. Joshua R. Tyler
  6. Alice X. Zheng
  7. Andrew Y. Ng
  8. Alexander Maedche
  9. Duncan J. Watts

Who trusts Christopher P. Diehl overall

  1. Thomas Neumann
  2. Linyuan Lu
  3. Tao Zhou
  4. Gerhard Weikum
  5. Ihab F. Ilyas
  6. Chaabane Abdelberi
  7. Cécile Bothorel

Papers from Christopher P. Diehl's perspective

Ordered by how strongly the researchers Christopher P. Diehl trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Collective dynamics of ‘small-world’ networks
  2. Emergence of Scaling in Random Networks
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Centrality in social networks conceptual clarification
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Learning to map between ontologies on the semantic web (The Web Conference)

Their papers