Roy Friedman

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I am a Hebrew University of Jerusalem Ph.D. candidate at Yair Weiss’ lab for computer vision.

My research interests are:

  1. Desigining explainable tools to better understand dynamical processes in single-cell biology.
  2. Combining spatial information with gene expression in single-cell biology.
  3. How (and if) generative models of images can be used for tasks other than generating data.

I was also the TA for HUJI’s course on Bayesian Machine Learning, which Yair Weiss and I have built together. I’m in the process of uploading the course material to the “Bayesian Machine Learning” section of this site.

Selected publications

  1. Characterizing Nonlinear Dynamics via Smooth Prototype Equivalences
    Roy Friedman, Noa Moriel, Matthew Ricci, and 3 more authors
    Under review 2025
    PDF
  2. How Useful is the Density Learned by GANs for Computer Vision?
    Roy Friedman, and Yair Weiss
    CVPR, GMCV Workshop 2025
    PDF
  3. Control+Shift: Generating Controllable Distribution Shifts
    Roy Friedman, and Rhea Chowers
    ECCV, Synthetic Data for Computer Vision Workshop 2024
    PDF
  4. HIGlow: Conditional Normalizing Flows for High-Fidelity HI Map Modeling
    Roy Friedman, and Sultan Hassan
    NeurIPS, Machine Learning and the Physical Sciences Workshop 2022
    PDF
  5. Posterior Sampling for Image Restoration using Explicit Patch Priors
    Roy Friedman, and Yair Weiss
    arXiv preprint arXiv:2104.09895 2021
    PDF