Joseph H. Davis

Structural Biology · 2010–2021

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph H. Davis trusts overall

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

  1. Sjors H. W. Scheres
  2. Reshma P. Shetty
  3. Drew Endy
  4. Diederik P. Kingma
  5. D. Browning

Papers from Joseph H. Davis's perspective

Ordered by how strongly the researchers Joseph H. Davis 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. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  3. Automatic differentiation in PyTorch
  4. Understanding deep learning requires rethinking generalization
  5. Tuning genetic control through promoter engineering. (Proceedings of the National Academy of Sciences of the United States of America)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. Engineering BioBrick vectors from BioBrick parts (Journal of Biological Engineering)
  10. Gradient-based learning applied to document recognition

Their papers