Christopher Musco

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher Musco trusts overall

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

  1. David P. Woodruff
  2. Tamás Sarlós
  3. Jure Leskovec
  4. Nathan Halko
  5. Kenneth L. Clarkson
  6. Danny C. Sorensen
  7. J. Kuczy
  8. Michael W. Mahoney
  9. Vladimir Rokhlin
  10. Per-Gunnar Martinsson

Who trusts Christopher Musco overall

  1. Dan Feldman

Papers from Christopher Musco's perspective

Ordered by how strongly the researchers Christopher Musco 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. Numerical linear algebra in the streaming model (Symposium on the Theory of Computing)
  4. Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
  5. Gradient-based learning applied to document recognition
  6. Matrix Computations
  7. Improved Approximation Algorithms for Large Matrices via Random Projections (IEEE Annual Symposium on Foundations of Computer Science)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Et al
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers