Dana H. Brooks

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dana H. Brooks trusts overall

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

  1. Diederik P. Kingma

Papers from Dana H. Brooks's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Learning Face Attributes in the Wild
  6. WaveNet: A Generative Model for Raw Audio
  7. Gradient-based learning applied to document recognition
  8. Categorical Reparameterization with Gumbel-Softmax
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers