Jonathan I. Tamir

Computer Vision and Pattern Recognition · with Arvinte · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan I. Tamir trusts

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

  1. Stefano Ermon (in Computer Vision and Pattern Recognition)
  2. Yang Song (in Computer Vision and Pattern Recognition)
  3. Paul Hand (in Computer Vision and Pattern Recognition)

Papers from Jonathan I. Tamir's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Regression Shrinkage and Selection via the Lasso
  3. Generative Adversarial Networks
  4. A Style-Based Generator Architecture for Generative Adversarial Networks
  5. Compressed Sensing using Generative Models
  6. Generative Modeling by Estimating Gradients of the Data Distribution
  7. Sparse MRI: The application of compressed sensing for rapid MR imaging
  8. Score-Based Generative Modeling through Stochastic Differential Equations
  9. Deep Generative Adversarial Networks for Compressed Sensing Automates MRI
  10. Improved Techniques for Training Score-Based Generative Models

Their papers