Kengo Sato

Molecular Biology · 2009–2020

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Kengo Sato trusts overall

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

  1. Jonathan T. Barron
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Terence P. Speed
  5. Kaiming He
  6. Chuong B. Do
  7. Bjarne Knudsen
  8. Douglas H. Turner
  9. Nicholas R. Markham
  10. Ye Ding

Who trusts Kengo Sato overall

  1. Minkyung Baek
  2. Jaswinder Singh
  3. Yang Li
  4. Ryan McHugh
  5. Jack Hanson
  6. Christine E. Hajdin
  7. Ivan V. Anishchenko
  8. Marcin Magnus
  9. Kuldip K. Paliwal
  10. I-Min A. Chen

Papers from Kengo Sato's perspective

Ordered by how strongly the researchers Kengo Sato 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers