Colin Sandon

Statistical and Nonlinear Physics · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Colin Sandon trusts overall

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

  1. Qi-Xing Huang
  2. Mark Newman
  3. Paul Holland
  4. Emmanuel Abbe
  5. Yann LeCun
  6. Geoffrey E. Hinton
  7. Steven H. Strogatz
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Leonidas J. Guibas

Who trusts Colin Sandon overall

  1. Anton Tsitsulin

Papers from Colin Sandon's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers