Patrick Zschech

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Sociology and Political Science — 11 citations into it
• Generative Models — 7 citations into it
• Health Informatics — 7 citations into it
• Information Systems — 6 citations into it

Whom Patrick Zschech trusts overall

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

1. David G. Lowe
2. J. Urgen Schmidhuber
3. Cynthia Rudin
4. Navneet Dalal
5. Diederik P. Kingma
6. Gerard A. Salton
7. Salvador Garcia
8. Gerhard Widmer
9. Amina Adadi
10. Geoffrey E. Hinton

Who trusts Patrick Zschech overall

1. Stefan Feuerriegel

Papers from Patrick Zschech's perspective

Ordered by how strongly the researchers Patrick Zschech 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Attention is All you Need (Neural Information Processing Systems)
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Machine learning and deep learning (2021) — 1,800 citations
• Generative AI (2023) — 1,478 citations