Benedict Paten

Molecular Biology · 2007–2022

A researcher in the Science corpus: 33 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Benedict Paten trusts overall

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

  1. Heng Li
  2. Richard Durbin
  3. Pavel A. Pevzner
  4. Daniel R. Zerbino
  5. Cynthia Dwork
  6. W. James Kent
  7. Na Li
  8. Stephen F. Altschul
  9. Alkes L Price
  10. Cédric Notredame

Who trusts Benedict Paten overall

  1. Aaron E. Darling
  2. Paul Flicek
  3. Jeanne Chèneby
  4. Martin Kircher
  5. Miten Jain
  6. Javier Herrero
  7. Kathryn M Beal
  8. Matthieu Muffato
  9. Bob Mau
  10. Andrew D. Yates

Papers from Benedict Paten's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. GENERATIVE ADVERSARIAL NETS
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
  9. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  10. Human-level control through deep reinforcement learning

Their papers