Jason Rosenhouse

2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jason Rosenhouse trusts overall

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

  1. David A. Wagner
  2. Clark Glymour

Papers from Jason Rosenhouse's perspective

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

  1. A Generalized Birthday Problem (Annual International Cryptology Conference)
  2. Gradient-based learning applied to document recognition
  3. GradientBased Learning Applied to Document Recognition
  4. GENERATIVE ADVERSARIAL NETS
  5. A Kernel Two-Sample Test
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Rectified Linear Units Improve Restricted Boltzmann Machines
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers