Edward De Brouwer

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Edward De Brouwer trusts overall

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

  1. Tapio Schneider
  2. Yulia Rubanova
  3. Kyunghyun Cho
  4. Diederik P. Kingma
  5. Rahul G. Krishnan
  6. Yoshua Bengio
  7. Joseph D. Futoma
  8. Geoffrey E. Hinton
  9. Hossein Soleimani
  10. T. Chen

Who trusts Edward De Brouwer overall

  1. Satya Narayan Shukla
  2. Jianzhun Du
  3. Benjamin M. Marlin
  4. Joseph D. Futoma
  5. Albert Gu

Papers from Edward De Brouwer's perspective

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

Their papers