Adam C. Siepel

Molecular Biology · 2003–2016

A researcher in the Science corpus: 17 papers; trusts 55 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Adam C. Siepel trusts overall

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

  1. Joseph Felsenstein
  2. W. James Kent
  3. Richard Durbin
  4. Ziheng Yang
  5. Jonathan S. Yedidia
  6. Kevin P. Murphy
  7. Michael P. Cummings
  8. Wray L. Buntine
  9. Yair Weiss
  10. Sean R. Eddy

Who trusts Adam C. Siepel overall

  1. Gregory M. Cooper
  2. Vladimir Jojic
  3. Michael F. Lin
  4. David Haussler
  5. Vikram Agarwal
  6. James R. Brown
  7. M. Rockman
  8. Nebojsa Jojic
  9. Kai Wang
  10. Yael Altuvia

Papers from Adam C. Siepel's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers