Ulrich Germann

Artificial Intelligence · 2007–2018

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Ulrich Germann trusts overall

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

  1. Rico Sennrich
  2. Diederik P. Kingma
  3. Philipp Koehn
  4. Barry Haddow
  5. Geoffrey E. Hinton
  6. Jimmy Ba
  7. Yoshua Bengio
  8. Alexandra Birch
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Ulrich Germann overall

  1. Alexander Allauzen
  2. Hang Le
  3. Keqin Peng
  4. Nicolas Pécheux
  5. François Yvon
  6. Jan-Thorsten Peter
  7. Marcin Junczys-Dowmunt
  8. Danielle Saunders
  9. Franck Burlot
  10. Lauriane Aufrant

Papers from Ulrich Germann's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers