Sam Sinai

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sam Sinai trusts overall

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

  1. Diederik P. Kingma
  2. Frances H. Arnold
  3. Reuven Y. Rubinstein
  4. John Ingraham
  5. Jimmy Ba
  6. Peter I. Frazier
  7. Debora Marks
  8. Philip A. Romero
  9. Geoffrey E. Hinton
  10. Nikolaus Hansen

Who trusts Sam Sinai overall

  1. Kevin Kaichuang Yang
  2. Xinqiang Ding
  3. Jérôme Tubiana
  4. Zachary Wu
  5. Chloe Hsu
  6. Zhengting Zou
  7. Simona Cocco
  8. Frances H. Arnold

Papers from Sam Sinai's perspective

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

Their papers