Gustaf Ahdritz

Molecular Biology · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 71 citations into it
• Computational Biology & Bioinformatics — 44 citations into it
• Materials Chemistry — 29 citations into it

Whom Gustaf Ahdritz trusts overall

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

1. Adam T. Zemla
2. Diederik P. Kingma
3. James P. Roney
4. W. Kabsch
5. Mohammed Alquraishi
6. David T. Jones
7. Minkyung Baek
8. Valerio Mariani
9. Sergey Ovchinnikov
10. Jimmy Ba

Who trusts Gustaf Ahdritz overall

1. Shuya Nakata

Papers from Gustaf Ahdritz's perspective

Ordered by how strongly the researchers Gustaf Ahdritz 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. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
3. Attention is All you Need (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Highly accurate protein structure prediction with AlphaFold
8. Gradient-based learning applied to document recognition
9. Scaling Laws for Neural Language Models (arXiv.org)
10. Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Their papers

• Single-sequence protein structure prediction using language models and deep learning (2022) — 358 citations
• OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization (2023) — 435 citations