Roger Wattenhofer

Artificial Intelligence · 2001–2021

A researcher in the Science corpus: 30 papers; trusts 245 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Roger Wattenhofer trusts overall

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

  1. Ram Ramanathan
  2. Fabian Kuhn
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Brad Karp
  7. Xiangyang Li
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Khaled M. Alzoubi

Who trusts Roger Wattenhofer overall

  1. Fabian Kuhn
  2. Vikas Kawadia
  3. Aaron Zollinger
  4. Paolo Santi
  5. Christian Bettstetter
  6. P. Arun Raj Kumar
  7. Rong L. Zheng
  8. Jean-Pierre Hubaux
  9. Erran L. Li
  10. Martin Burkhart

Papers from Roger Wattenhofer's perspective

Ordered by how strongly the researchers Roger Wattenhofer 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers