Michael B. Cohen

Computational Theory and Mathematics · 2014–2018

A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Michael B. Cohen trusts overall

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

  1. Daniel A. Spielman
  2. Sariel Har-Peled
  3. Tamás Sarlós
  4. Kenneth L. Clarkson
  5. David P. Woodruff
  6. Virginia Vassilevska Williams
  7. Michael W. Mahoney
  8. F. Gall
  9. Yurii E. Nesterov
  10. Marco Cuturi

Who trusts Michael B. Cohen overall

  1. Dan Feldman
  2. David P. Woodruff
  3. Zeyuan Allen-Zhu
  4. Yudong Chen
  5. Sai Praneeth Karimireddy
  6. Melanie Schmidt
  7. Cong Xie
  8. Christos Boutsidis
  9. Zhongzhan Huang
  10. Konstantin Makarychev

Papers from Michael B. Cohen's perspective

Ordered by how strongly the researchers Michael B. Cohen 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Et al
  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. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers