Christopher J. Hillar

Computational Theory and Mathematics · 2004–2012

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher J. Hillar trusts overall

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

  1. Liqun Qi
  2. Yurii E. Nesterov
  3. Michael L. Overton
  4. Klaus Weihrauch
  5. Gene H. Golub
  6. John J. Hopfield
  7. Jorge Nocedal
  8. Mathias Drton
  9. M. Alex O. Vasilescu
  10. Lek-Heng Lim

Who trusts Christopher J. Hillar overall

  1. Anima Anandkumar
  2. Yining Wang
  3. Volodymyr Kuleshov
  4. Jan Draisma
  5. Yaroslav N. Shitov
  6. Ji Liu
  7. Jascha Narain Sohl-Dickstein
  8. Guillaume P. Dehaene
  9. Uwe Nagel
  10. André Uschmajew

Papers from Christopher J. Hillar's perspective

Ordered by how strongly the researchers Christopher J. Hillar 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. Learning Multiple Layers of Features from Tiny Images
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers