Yulia Rubanova

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 83 researchers here, as inferred from the citation graph.

Subfields

Whom Yulia Rubanova trusts overall

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

  1. Diederik P. Kingma
  2. Kyunghyun Cho
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Max Welling
  6. Danilo Jimenez Rezende
  7. Ilya Sutskever
  8. Kaiming He
  9. Ikaro Silva
  10. Oriol Vinyals

Who trusts Yulia Rubanova overall

  1. Albert Gu
  2. Yang Song
  3. Ricky T. Q. Chen
  4. Satya Narayan Shukla
  5. Junteng Jia
  6. David Kristjanson Duvenaud
  7. Jianzhun Du
  8. T. Konstantin Rusch
  9. Jacob Kelly
  10. Patrick Kidger

Papers from Yulia Rubanova's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers