Raviv Raich

Artificial Intelligence · 2004–2012

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Raviv Raich trusts overall

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

  1. R. Golden
  2. Ted Chang
  3. Nikolai N. Leonenko
  4. Paul A. Viola
  5. D. Loftsgaarden
  6. Eric Learned-Miller
  7. Mikhail Belkin
  8. S. Mancell
  9. Qing Wang
  10. Anukool Lakhina

Who trusts Raviv Raich overall

  1. Barnab'as P'oczos
  2. Fadhel M. Ghannouchi
  3. Jeff Schneider
  4. Oualid Hammi
  5. Akshay Krishnamurthy

Papers from Raviv Raich's perspective

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

  1. A global geometric framework for nonlinear dimensionality reduction.
  2. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
  3. The Elements of Statistical Learning
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. A nonparametric estimate of a multivariate density function
  6. Gradient-based learning applied to document recognition
  7. ImageNet classification with deep convolutional neural networks
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Divergence estimation of continuous distributions based on data-dependent partitions

Their papers