Andreas Bollig

Computational Mechanics · 2016

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andreas Bollig trusts overall

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

  1. Yonghong Zeng
  2. Joel A. Tropp
  3. E.J. Candes
  4. Claude E. Shannon
  5. Ying-Chang Liang
  6. Stéphane Mallat
  7. Rahul Tandra
  8. Moshe Mishali
  9. David L. Donoho
  10. Raghunandan H. Keshavan

Papers from Andreas Bollig's perspective

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

  1. Decoding by linear programming
  2. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  3. Atomic Decomposition by Basis Pursuit
  4. Compressed Sensing
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples (arXiv.org)
  7. Gradient-based learning applied to document recognition
  8. Matching pursuits with time-frequency dictionaries
  9. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
  10. Regression Shrinkage and Selection via the Lasso

Their papers