D. Tegunov

Structural Biology · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom D. Tegunov trusts overall

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

  1. Jorge Nocedal
  2. Sjors H. W. Scheres
  3. Yann LeCun
  4. David N. Mastronarde
  5. L. Eon Bottou
  6. N. Grigorieff
  7. Yoshua Bengio
  8. Jaakko Lehtinen
  9. Alex Krizhevsky
  10. Geoffrey E. Hinton

Who trusts D. Tegunov overall

  1. A. Walls
  2. Yogesh Kumar
  3. Jasenko Zivanov
  4. Takanori Nakane
  5. Young-Jun Park
  6. M. A. Tortorici
  7. Apeksha Koul
  8. Maithra Raghu
  9. Dari Kimanius
  10. Ruchika Singla

Papers from D. Tegunov's perspective

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

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

Their papers