Jürgen Pfeffer

Statistical and Nonlinear Physics · 2013–2018

A researcher in the Science corpus: 7 papers; trusts 39 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Jürgen Pfeffer trusts overall

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

  1. Fred Morstatter
  2. Yehuda Koren
  3. Claude E. Shannon
  4. Sebastian Weber
  5. Stanley Wasserman
  6. Alan Mislove
  7. Liangjie Hong
  8. Bo Pang
  9. Mustafa Sofean
  10. Brendan T. O'Connor

Who trusts Jürgen Pfeffer overall

  1. Alexandra Olteanu
  2. Fred Morstatter
  3. Momin M. Malik
  4. Carlos Castillo
  5. I. Anderson
  6. Emilio Ferrara
  7. Brent J. Hecht
  8. Isaac L. Johnson
  9. Su Lin Blodgett
  10. Q. Liao

Papers from Jürgen Pfeffer's perspective

Ordered by how strongly the researchers Jürgen Pfeffer 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. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers