Charlotte Rochereau

Molecular Biology · 2021–2022

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 — 65 citations into it
• Materials Chemistry — 32 citations into it
• Computational Biology & Bioinformatics — 27 citations into it

Whom Charlotte Rochereau trusts overall

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

1. Mohammed Alquraishi

Papers from Charlotte Rochereau's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
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. Scaling Laws for Neural Language Models (arXiv.org)
4. Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
5. SCOPe: Structural Classification of Proteins—extended, integrating SCOP and ASTRAL data and classification of new structures
6. Highly accurate protein structure prediction with AlphaFold
7. End-to-end differentiable learning of protein structure
8. The Rosetta all-atom energy function for macromolecular modeling and design
9. Transformer protein language models are unsupervised structure learners
10. Learning Protein Structure with a Differentiable Simulator

Their papers

• Single-sequence protein structure prediction using language models from deep learning (2021) — 64 citations
• Single-sequence protein structure prediction using language models and deep learning (2022) — 358 citations