Simon Axelrod

Computational Theory and Mathematics · 2020

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Axelrod trusts overall

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

  1. Stefan Grimme
  2. David Weininger
  3. Kristof T. Schütt
  4. Teague Sterling
  5. David Kristjanson Duvenaud
  6. Hanjun Dai
  7. Rafael Gómez‐Bombarelli
  8. Nathan Brown
  9. Geoffrey E. Hinton
  10. Justin Gilmer

Who trusts Simon Axelrod overall

  1. Minkai Xu
  2. Shitong Luo
  3. Chence Shi
  4. Yuanqi Du
  5. Emiel Hoogeboom
  6. Jian Tang
  7. Gengmo Zhou
  8. Victor Garcia Satorras
  9. Tianfan Fu
  10. Lantao Yu

Papers from Simon Axelrod's perspective

Ordered by how strongly the researchers Simon Axelrod 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. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. GENERATIVE ADVERSARIAL NETS

Their papers