S. Saitoh

Applied Mathematics · 1997–2017

A researcher in the Science corpus: 10 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom S. Saitoh trusts overall

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

  1. Sin-Ei Takahasi
  2. Yuhai Wu
  3. Francis R. Bach

Who trusts S. Saitoh overall

  1. Luís P. Castro
  2. Charles W. Groetsch
  3. Ernesto De Vito
  4. Masashi Sugiyama
  5. Sandra Pinelas
  6. James Tanton
  7. Dino Sejdinovic
  8. Lorenzo Rosasco

Papers from S. Saitoh's perspective

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

  1. Integral Transforms, Reproducing Kernels and Their Applications
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Learning Multiple Layers of Features from Tiny Images
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet classification with deep convolutional neural networks
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers