D. Fedorov

Atomic and Molecular Physics, and Optics · 2000–2021

A researcher in the Science corpus: 7 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom D. Fedorov trusts overall

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

  1. Sergey Bravyi
  2. Jonathan Romero
  3. Jarrod R. McClean
  4. Ryan Babbush
  5. Sam McArdle
  6. M. Cerezo
  7. Geoffrey E. Hinton
  8. Stefan Grimme
  9. John Preskill
  10. Suguru Endo

Who trusts D. Fedorov overall

  1. Yuri Alexeev
  2. Michael P. Mazanetz
  3. Osamu Ichihara
  4. Qianli Ma

Papers from D. Fedorov's perspective

Ordered by how strongly the researchers D. Fedorov 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. A Fast Learning Algorithm for Deep Belief Nets
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers