Jahn Heymann

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 6 papers; trusts 26 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Jahn Heymann trusts overall

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

  1. Paul J. Werbos
  2. Sergey Ioffe
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Wojciech Zaremba
  6. Yoshua Bengio
  7. Jon Barker
  8. Christian Szegedy
  9. Diederik P. Kingma
  10. Nitish Srivastava

Who trusts Jahn Heymann overall

  1. Jinyu Li
  2. Shinji Watanabe
  3. Kateřina Žmolíková
  4. Marc Delcroix
  5. Zhuo Chen
  6. Yi Luo
  7. Mirco Ravanelli
  8. Zixing Zhang
  9. Hakan Erdogan
  10. Keisuke Kinoshita

Papers from Jahn Heymann's perspective

Ordered by how strongly the researchers Jahn Heymann 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. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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