EN HE

Shimon Malnick

shimonmalnick@gmail.com

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I’m currently a PhD candidate of Electrical Engineering at Tel Aviv University, under the joint supervision of Prof. Shai Avidan and Prof. Ohad Fried. My research focuses on generative models for computer vision, in particular diffusion and flow-based models, with an emphasis on inversion for analysis, evaluation, and safety/privacy.

Previously, I worked as an Applied Science Intern at Amazon, developing and evaluating vision–language models for high-resolution image understanding.

News

Oct 17, 2026 Recognized as an Outstanding Reviewer at CVPR 2026 :star2:
Oct 16, 2026 New preprint: “SoftCache: Adaptive Step Size Caching for Diffusion Transformers” is now on arXiv :star2:
Jun 4, 2026 New preprint: “Optimal Transport Flow Matching by Design” is now on arXiv :star2:

Publications

* denotes equal contribution
  1. softcache/teaser.svg
    SoftCache: Adaptive Step Size Caching for Diffusion Transformers
    Shimon Malnick, Nadav Orenstein, Ohad Fried, and Shai Avidan
    arXiv preprint arXiv:2610.22369, 2026
  2. designing_ot_flows/teaser.png
    Optimal Transport Flow Matching by Design
    Shimon Malnick, Matan Rusanovsky, Ohad Fried, and Shai Avidan
    arXiv preprint arXiv:2606.04092, 2026
  3. talking_points/teaser.png
    Talking Points: Describing and Localizing Pixels
    Matan Rusanovsky, Shimon Malnick, and Shai Avidan
    ICLR 2026
  4. memories_forgotten_concepts/sphere.png
    Memories of Forgotten Concepts
    CVPR 2025
    Highlight
  5. taming_flows/taming.png
    Taming Normalizing Flows
    Shimon Malnick, Shai Avidan, and Ohad Fried
    WACV 2024