David A. Knowles

Molecular Biology · 2011–2019

A researcher in the Science corpus: 7 papers; trusts 63 researchers and is trusted by 64 researchers here, as inferred from the citation graph.

Subfields

Whom David A. Knowles trusts overall

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

  1. Radford M. Neal
  2. Michael I. Jordan
  3. David M. Blei
  4. Tom Minka
  5. Antti Honkela
  6. Mark A. Girolami
  7. Diederik P. Kingma
  8. Zoubin Ghahramani
  9. Manfred Opper
  10. Geoffrey E. Hinton

Who trusts David A. Knowles overall

  1. Linda S. L. Tan
  2. Mohammad Emtiyaz Khan
  3. David M. Blei
  4. Tim Salimans
  5. Michalis K. Titsias
  6. Rajesh Ranganath
  7. David Rohde
  8. David J. Nott
  9. Thang D. Bui
  10. Matt P. Wand

Papers from David A. Knowles's perspective

Ordered by how strongly the researchers David A. Knowles 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers