Axel Röbel

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Axel Röbel trusts overall

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

  1. Heiga Zen
  2. Diederik P. Kingma
  3. Ilya Sutskever
  4. Arturo Camacho
  5. Geoffrey E. Hinton
  6. Jimmy Ba
  7. Yoshua Bengio
  8. Olaf Ronneberger
  9. Emmanuel Vincent
  10. E.J. Candes

Who trusts Axel Röbel overall

  1. Alexandre D'efossez

Papers from Axel Röbel's perspective

Ordered by how strongly the researchers Axel Röbel 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Attention is All you Need (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. ImageNet: A large-scale hierarchical image database
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers