Frances H. Arnold

Molecular Biology · 1996–2021

A researcher in the Science corpus: 33 papers; trusts 91 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Frances H. Arnold trusts overall

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

  1. Philip A. Romero
  2. Claire N. Bedbrook
  3. Kevin Kaichuang Yang
  4. Andreas Wagner
  5. David Baker
  6. Geoffrey E. Hinton
  7. Kevin P. Murphy
  8. Jerome H. Friedman
  9. Niles A. Pierce
  10. Nobuhiko Tokuriki

Who trusts Frances H. Arnold overall

  1. Kevin Kaichuang Yang
  2. Zachary Wu
  3. M. Reetz
  4. Sam Sinai
  5. Ali Madani
  6. Benjamin T. Porebski
  7. Yunan Luo
  8. Claire N. Bedbrook
  9. Zak Costello
  10. Philip A. Romero

Papers from Frances H. Arnold's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. GENERATIVE ADVERSARIAL NETS
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers