Markus A. Wenzel
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it
- Molecular Biology — 30 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Computational Biology & Bioinformatics — 7 citations into it
Whom Markus A. Wenzel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Markus A. Wenzel's perspective
Ordered by how strongly the researchers Markus A. Wenzel trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Automatic differentiation in PyTorch
- Long Short-Term Memory
- Neural Machine Translation of Rare Words with Subword Units
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
Their papers
- UDSMProt: universal deep sequence models for protein classification (2019) — 194 citations
- FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare (2023) — 491 citations