Henning Bülow

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Model Architectures — 5 citations into it

Whom Henning Bülow trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Yurii E. Nesterov
4. Alex Krizhevsky
5. Dzmitry Bahdanau
6. Yoshua Bengio
7. Alex Graves
8. Diederik P. Kingma
9. Oriol Vinyals
10. Kyunghyun Cho

Papers from Henning Bülow's perspective

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

1. ImageNet classification with deep convolutional neural networks
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. ImageNet: A large-scale hierarchical image database

Their papers

• End-to-End Deep Learning of Optical Fiber Communications (2018) — 326 citations
• Applying Neural Networks in Optical Communication Systems: Possible Pitfalls (2017) — 143 citations