Ali Torkamani

Molecular Biology · 2008–2020

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Torkamani trusts overall

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

  1. Daniel Quang
  2. Erik P. Garrison
  3. Haiming Tang
  4. Effy Vayena
  5. Xiaohui S. Xie
  6. Riccardo Miotto
  7. Jingxue Wang
  8. Ryan Poplin
  9. Andre Esteva
  10. Geoffrey E. Hinton

Who trusts Ali Torkamani overall

  1. A. Khera
  2. Raquel Dias

Papers from Ali Torkamani's perspective

Ordered by how strongly the researchers Ali Torkamani 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Going deeper with convolutions

Their papers