Neal Parikh

Computational Mechanics · 2011–2013

A researcher in the Science corpus: 3 papers; trusts 57 researchers and is trusted by 154 researchers here, as inferred from the citation graph.

Subfields

Whom Neal Parikh trusts overall

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

  1. Yurii E. Nesterov
  2. David L. Donoho
  3. Robert Tibshirani
  4. Patrick L. Combettes
  5. Xiaoqun Zhang
  6. E.J. Candes
  7. Mário A. T. Figueiredo
  8. Amir Beck
  9. Stephen P. Boyd
  10. Ingrid Daubechies

Who trusts Neal Parikh overall

  1. Stamatios Lefkimmiatis
  2. Jakub Konecný
  3. Marcelo Pereyra
  4. David Hallac
  5. Brendan O'Donoghue
  6. Yunxiao Chen
  7. Stephen P. Boyd
  8. Sangwon Jung
  9. Yujia Xie
  10. Mu Li

Papers from Neal Parikh's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  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. Atomic Decomposition by Basis Pursuit
  6. Gradient-based learning applied to document recognition
  7. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers