Hugh Yeh

Molecular Biology · 2023

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 48 citations into it
• Computational Biology & Bioinformatics — 21 citations into it
• Materials Chemistry — 17 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Hugh Yeh trusts overall

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

1. Sergey Ovchinnikov
2. Tristan Bepler
3. Ivan V. Anishchenko
4. Milot Mirdita
5. Martin Steinegger

Papers from Hugh Yeh's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Generative Models for Graph-Based Protein Design
4. Highly accurate protein structure prediction with AlphaFold
5. Improved protein structure prediction using predicted interresidue orientations
6. Evaluating Protein Transfer Learning with TAPE
7. The Rosetta all-atom energy function for macromolecular modeling and design
8. Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
9. De novo protein design by deep network hallucination
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Masked Inverse Folding with Sequence Transfer for Protein Representation Learning (2023) — 129 citations