David H. Brookes

Molecular Biology · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom David H. Brookes trusts overall

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

  1. Diederik P. Kingma
  2. Reuven Y. Rubinstein
  3. Nikolaus Hansen
  4. Jan Peters
  5. Individualized Treat
  6. Geoffrey E. Hinton
  7. David M. Blei
  8. Max Welling
  9. Laurent Dinh
  10. Anvita Gupta

Who trusts David H. Brookes overall

  1. Austin Tripp
  2. Zachary Wu
  3. Wenhao Gao
  4. Erik A. Daxberger
  5. Sam Sinai
  6. Alex Hawkins-Hooker
  7. Chloe Hsu
  8. José Miguel Hernández-Lobato
  9. Kadina E. Johnston
  10. Sai Pooja Mahajan

Papers from David H. Brookes's perspective

Ordered by how strongly the researchers David H. Brookes 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. GENERATIVE ADVERSARIAL NETS
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers