Eli N. Weinstein

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eli N. Weinstein trusts overall

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

  1. Martin Steinegger
  2. John Ingraham
  3. Johannes Söding
  4. Adam J. Riesselman
  5. Yang Zhang

Papers from Eli N. Weinstein's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Highly accurate protein structure prediction with AlphaFold
  5. Generative Models for Graph-Based Protein Design
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. On the difficulty of training recurrent neural networks
  8. Scaling Laws for Neural Language Models (arXiv.org)
  9. Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
  10. Deep generative models of genetic variation capture the effects of mutations

Their papers