Publications

2026

  1. Decoding Condition-Specific Cellular Crosstalk in Spatial Omics via Bilinear Edge Classification
    Jonathan Karin, Roy Friedman, and Mor Nitzan
    bioRxiv, 2026
    DOI PDF
  2. Neighborhood-Informed Positional Information for Precise Cell Identity Specification
    Michal Erez*, Roy Friedman*, and Mor Nitzan
    Molecular Systems Biology, 2026
    PDF

2025

  1. MODE: Learning compositional representations of complex systems with Mixtures Of Dynamical Experts
    Nathan Quiblier, Roy Friedman, and Matthew Ricci
    arXiv preprint arXiv:2510.09594, 2025
    PDF
  2. Characterizing Nonlinear Dynamics via Smooth Prototype Equivalences
    Roy Friedman, Noa Moriel, Matthew Ricci, and 3 more authors
    Under review, 2025
    PDF
  3. How Useful is the Density Learned by GANs for Computer Vision?
    Roy Friedman and Yair Weiss
    CVPR, GMCV Workshop, 2025
    PDF

2024

  1. Control+Shift: Generating Controllable Distribution Shifts
    Roy Friedman and Rhea Chowers
    ECCV, Synthetic Data for Computer Vision Workshop, 2024
    PDF

2023

  1. A Fully 3D-Printed Versatile Tumor-on-a-Chip Allows Multi-Drug Screening and Correlation with Clinical Outcomes for Personalized Medicine
    Eliana Steinberg, Roy Friedman, Yoel Goldstein, and 6 more authors
    Communications Biology, 2023
    PDF

2022

  1. HIGlow: Conditional Normalizing Flows for High-Fidelity HI Map Modeling
    Roy Friedman and Sultan Hassan
    NeurIPS, Machine Learning and the Physical Sciences Workshop, 2022
    DOI PDF

2021

  1. Posterior Sampling for Image Restoration using Explicit Patch Priors
    Roy Friedman and Yair Weiss
    arXiv preprint arXiv:2104.09895, 2021
    DOI PDF

2020

  1. A Unified Linear Viscoelastic Model of the Cell Nucleus Defines the Mechanical Contributions of Lamins and Chromatin
    Oren Wintner, Nivi Hirsch-Attas, Miriam Schlossberg, and 5 more authors
    Advanced Science, 2020
    PDF