Christopher Hahn

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Program Analysis & Verification — 9 citations into it
• Software — 5 citations into it

Whom Christopher Hahn trusts overall

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

1. Leonardo de Moura
2. Guillaume Lample
3. Sanjit A. Seshia
4. Timon Gehr
5. Geoffrey E. Hinton
6. Ashish Vaswani
7. Sarah M. Loos
8. Patrick Fernandes
9. Ilya Sutskever
10. Christian Szegedy

Who trusts Christopher Hahn overall

1. Markus Norman Rabe

Papers from Christopher Hahn's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. Layer Normalization
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Teaching Temporal Logics to Neural Networks (2020) — 79 citations