Jens Behrmann

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 6 papers; trusts 320 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

Whom Jens Behrmann trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Laurent Dinh
  10. Christian Szegedy

Who trusts Jens Behrmann overall

  1. Jörn-Henrik Jacobsen
  2. Ricky T. Q. Chen
  3. Erik Nijkamp
  4. Yang Song
  5. Jianfei Chen
  6. Cheng Lu
  7. Jonas Köhler
  8. George Papamakarios
  9. Chin-Wei Huang
  10. Matej Grcic

Papers from Jens Behrmann's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers