John R. Hauser

Management Science and Operations Research · with Dahan · 2002–2019

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom John R. Hauser trusts overall

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

  1. Gerard J. Tellis
  2. Tomas Mikolov
  3. Rajshree Agarwal
  4. Richard Socher
  5. Stefan Stremersch
  6. Barry L. Bayus
  7. Paul R. Carlile
  8. Seshadri Tirunillai
  9. Ilya Sutskever
  10. Christophe Van den Bulte

Who trusts John R. Hauser overall

  1. Shuba Srinivasan
  2. Frank Q. Fu
  3. Johann Füller
  4. Mohanbir S. Sawhney
  5. Xueming Luo
  6. Ruth Stock
  7. Barry L. Bayus
  8. M. Shafique
  9. Jos Bartels
  10. R. Duane Ireland

Papers from John R. Hauser's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers