Richard Bonneau

Molecular Biology · 1999–2023

A researcher in the Science corpus: 23 papers; trusts 50 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Bonneau trusts overall

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

  1. David C. Jones
  2. K. Simons
  3. David Baker
  4. Tim J. P. Hubbard
  5. P. Bowers
  6. Robert Tibshirani
  7. Eric R. Ziegel
  8. Burkhard Rost
  9. John Moult
  10. Christopher Sander

Who trusts Richard Bonneau overall

  1. David Baker
  2. C. López‐Otín
  3. Santrupti Nerli
  4. Nicolas Le Novère
  5. Tanja Kortemme
  6. Michael Feig
  7. Namrata Anand-Achim
  8. Julia Koehler Leman
  9. Carol A. Rohl
  10. Bernard O. Offmann

Papers from Richard Bonneau's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Regression Shrinkage and Selection via the Lasso
  6. The Protein Data Bank.
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers