Ferdinand Kossmann

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #24,612 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 13 citations into it
• Optimization & Training — 9 citations into it
• Large Language Models — 6 citations into it
• Model Architectures — 6 citations into it

Whom Ferdinand Kossmann trusts overall

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

1. Matei A. Zaharia
2. Yann LeCun
3. William Fedus
4. Barret Zoph
5. A. Aiken
6. Geoffrey E. Hinton
7. Noam Shazeer
8. Jiaao He
9. Yoshua Bengio
10. Alex Krizhevsky

Who trusts Ferdinand Kossmann overall

1. William Fedus
2. Joseph Dean
3. Barret Zoph

Papers from Ferdinand Kossmann's perspective

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

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

Their papers

• Optimizing Mixture of Experts using Dynamic Recompilations (2022) — 6 citations
• Democratizing Data Science through Interactive Curation of ML Pipelines (2019) — 107 citations