Koji Fukagata

Computational Mechanics · 2002–2020

A researcher in the Science corpus: 8 papers; trusts 44 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Koji Fukagata trusts overall

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

  1. Nobuhide Kasagi
  2. Oleg V. Vasilyev
  3. K. Iwamoto
  4. Tim Colonius
  5. Lutz Prechelt
  6. Kunihiko Taira
  7. Diederik P. Kingma
  8. Frank E. Ham
  9. John Kim
  10. Taegee Min

Who trusts Koji Fukagata overall

  1. Y. Kametani
  2. Nicolas Renard
  3. Yuichi Murai
  4. Sébastien Deck
  5. Olivier Desjardins
  6. Hyungmin Park
  7. Nobuhide Kasagi
  8. A. Rastegari
  9. K. Iwamoto
  10. Hassan Ali Nemati

Papers from Koji Fukagata's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers