Jonathan Shi

Computational Mathematics · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Shi trusts overall

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

  1. Anima Anandkumar
  2. Boaz Barak

Who trusts Jonathan Shi overall

  1. Pravesh Kothari
  2. Samuel B. Hopkins
  3. Rong Ge
  4. Jerry Zheng Li

Papers from Jonathan Shi's perspective

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

  1. Tensor decompositions for learning latent variable models
  2. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (IEEE Transactions on Image Processing)
  3. User-Friendly Tail Bounds for Sums of Random Matrices
  4. Image super-resolution as sparse representation of raw image patches
  5. ImageNet classification with deep convolutional neural networks
  6. Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method
  7. A tensor approach to learning mixed membership community models
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers