Roy Friedman

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I am currently a postdoc at Nikolaus Rajewsky’s lab in BIMSB.

I finished my PhD at the Hebrew University of Jerusalem under the joint supervision of Yair Weiss and Mor Nitzan. My PhD interests spanned computational imaging, generative models for images, and dynamical processes in single-cell biology.

During my PhD, 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
  2. How Useful is the Density Learned by GANs for Computer Vision?
    Roy Friedman and Yair Weiss
    CVPR, GMCV Workshop, 2025
  3. Control+Shift: Generating Controllable Distribution Shifts
    Roy Friedman and Rhea Chowers
    ECCV, Synthetic Data for Computer Vision Workshop, 2024
  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
  5. Posterior Sampling for Image Restoration using Explicit Patch Priors
    Roy Friedman and Yair Weiss
    arXiv preprint arXiv:2104.09895, 2021