Kunihiko Taira

Computational Mechanics · 2007–2020

A researcher in the Science corpus: 8 papers; trusts 60 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Kunihiko Taira trusts overall

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

  1. Charles S. Peskin
  2. Steven L. Brunton
  3. Clarence W. Rowley
  4. Bernd R. Noack
  5. Tim Colonius
  6. Peter J. Schmid
  7. Rajat Mittal
  8. Ming-Chih Lai
  9. J. Nathan Kutz
  10. Shervin Bagheri

Who trusts Kunihiko Taira overall

  1. Maizar Raissi
  2. Steven L. Brunton
  3. Clarence W. Rowley
  4. Kai Fukami
  5. Tim Colonius
  6. Scott T. M. Dawson
  7. G. Em Karniadakis
  8. J. Nathan Kutz
  9. Krithika Manohar
  10. Koji Fukagata

Papers from Kunihiko Taira's perspective

Ordered by how strongly the researchers Kunihiko Taira 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. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers