C. Floristean
Molecular Biology · 2022
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 34 citations into it
- Materials Chemistry — 16 citations into it
- Computational Biology & Bioinformatics — 14 citations into it
Whom C. Floristean trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from C. Floristean's perspective
Ordered by how strongly the researchers C. Floristean trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
- Scaling Laws for Neural Language Models (arXiv.org)
- Highly accurate protein structure prediction with AlphaFold
- End-to-end differentiable learning of protein structure
- SCOPe: Structural Classification of Proteins—extended, integrating SCOP and ASTRAL data and classification of new structures
- The Rosetta all-atom energy function for macromolecular modeling and design
- Transformer protein language models are unsupervised structure learners
- ProGen: Language Modeling for Protein Generation
Their papers
- Single-sequence protein structure prediction using language models and deep learning (2022) — 358 citations