Hagen Fürstenau

Artificial Intelligence · 2009–2017

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Hagen Fürstenau trusts overall

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

  1. Charles J. Fillmore
  2. John A. Bullinaria
  3. Arthur P. Dempster
  4. Collin F. Baker
  5. Martha Palmer
  6. Ted Briscoe
  7. Cynthia A. Thompson
  8. Kamal Nigam
  9. Rong-En Fan
  10. Thorsten Joachims

Who trusts Hagen Fürstenau overall

  1. Tong Niu
  2. Keith W. Henderson
  3. Mohit Bansal
  4. Jeff Mitchell
  5. Phong Le
  6. Brian Gallagher

Papers from Hagen Fürstenau's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers