Jeffrey A. Ruffolo
Molecular Biology · 2021–2022
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 68 citations into it
- Computational Biology & Bioinformatics — 36 citations into it
- Artificial Intelligence — 19 citations into it
- Materials Chemistry — 17 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it
Whom Jeffrey A. Ruffolo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin Steinegger
- Aroop Sircar
- Jeffrey J. Gray
- Johannes Söding
- Joshua Meier
- Ratul Chowdhury
- James Dunbar
- Brian L. Hie
- Ali Madani
- Jue Wang
Who trusts Jeffrey A. Ruffolo overall
Papers from Jeffrey A. Ruffolo's perspective
Ordered by how strongly the researchers Jeffrey A. Ruffolo trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
Their papers
- Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies (2022) — 344 citations
- ProGen2: Exploring the Boundaries of Protein Language Models (2022) — 555 citations
- Improved antibody structure prediction by deep learning of side chain conformations (2021) — 6 citations