Sebastian Cammerer

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #24,661 of 35,345 by trust here, #22,463 by citations
• Computer Networks and Communications — 9 citations into it; #6,662 of 9,886 by trust here, #5,340 by citations
• Model Architectures — 9 citations into it

Whom Sebastian Cammerer trusts overall

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

1. Diederik P. Kingma
2. David E. Rumelhart
3. E. Arıkan
4. Jimmy Ba
5. Yann LeCun
6. Geoffrey E. Hinton
7. Eliya Nachmani
8. Yoshua Bengio
9. Max Jaderberg
10. Karen Simonyan

Who trusts Sebastian Cammerer overall

1. Paul de Kerret
2. Hao Ye
3. Osvaldo Simeone
4. Tianqi Wang
5. David Gesbert
6. Robin Chataut
7. Muhammad Basit Shahab
8. Woongsup Lee
9. Jihong Park
10. Geoffrey Y. Li

Papers from Sebastian Cammerer's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. A Fast Learning Algorithm for Deep Belief Nets

Their papers

• Deep Learning Based Communication Over the Air (2017) — 806 citations
• On deep learning-based channel decoding (2017) — 555 citations
• Sionna: An Open-Source Library for Next-Generation Physical Layer Research (2022) — 503 citations