S. Staton

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom S. Staton trusts overall

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

  1. Vikash K. Mansinghka
  2. Frank D. Wood
  3. Johannes Borgström
  4. Tom Leinster
  5. John Hughes
  6. Brooks Paige
  7. Noah D. Goodman
  8. Chris Heunen
  9. A. Gordon
  10. Jan-Willem van de Meent

Who trusts S. Staton overall

  1. Guillaume Baudart
  2. Jan-Willem van de Meent
  3. Javier Burroni
  4. Martin Hirzel
  5. Brooks Paige
  6. Hongseok Yang
  7. Louis Mandel
  8. Adam Scibior

Papers from S. Staton's perspective

Ordered by how strongly the researchers S. Staton 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  8. Church: a language for generative models
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers