Kaj Nyström

Applied Mathematics · 2004–2018

A researcher in the Science corpus: 12 papers; trusts 55 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Kaj Nyström trusts overall

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

  1. Maizar Raissi
  2. John L. Lewis
  3. Luis Caffarelli
  4. Roger Fletcher
  5. S. Samko
  6. Kurt Hornik
  7. Hayden Schaeffer
  8. Robert Tibshirani
  9. Paris Perdikaris
  10. G. Em Karniadakis

Who trusts Kaj Nyström overall

  1. John L. Lewis
  2. Juan Luis V'azquez
  3. Han Gao
  4. Agnid Banerjee
  5. Nicola Garofalo
  6. Grant M. Rotskoff
  7. Hongwei Guo
  8. Luning Sun
  9. Ameya Dilip Jagtap
  10. Natarajan Sukumar

Papers from Kaj Nyström's perspective

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

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

Their papers