Hartmut Maennel

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Optimization & Training — 12 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Model Architectures — 6 citations into it

Whom Hartmut Maennel trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Alex Krizhevsky
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Yann LeCun
8. Diederik P. Kingma
9. X. Zhang
10. Ilya Sutskever

Who trusts Hartmut Maennel overall

1. Shoaib Ahmed Siddiqui

Papers from Hartmut Maennel's perspective

Ordered by how strongly the researchers Hartmut Maennel 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. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations (2022) — 20 citations
• Deep Learning Through the Lens of Example Difficulty (2021) — 200 citations