Tilman Hartwig

Artificial Intelligence · 2018–2020

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 — 11 citations into it
• Model Architectures — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Tilman Hartwig trusts overall

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

1. Kaiming He
2. Nuno Fernandes
3. Andrew Atkeson
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Razvan Pascanu
7. Alex Graves
8. Ping-Feng Pai
9. X. Zhang
10. Ilya Sutskever

Who trusts Tilman Hartwig overall

1. Cong Han
2. Sang-gil Lee
3. Rithesh Kumar

Papers from Tilman Hartwig's perspective

Ordered by how strongly the researchers Tilman Hartwig 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

• Neural Networks Fail to Learn Periodic Functions and How to Fix It (2020) — 233 citations
• Titans of the early Universe: The Prato statement on the origin of the first supermassive black holes (2018) — 134 citations