Meenu Rani

Computational Mechanics · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Meenu Rani trusts overall

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

  1. E.J. Candes
  2. Justin K. Romberg
  3. Robert Tibshirani
  4. Joel A. Tropp
  5. Stanley J. Osher
  6. Thomas Blumensath
  7. Stéphane Mallat
  8. David L. Donoho
  9. Tom Goldstein
  10. Deanna Needell

Papers from Meenu Rani's perspective

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

  1. Atomic Decomposition by Basis Pursuit
  2. Regression Shrinkage and Selection via the Lasso
  3. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
  7. Matching pursuits with time-frequency dictionaries
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Decoding by linear programming

Their papers