Yossi Gandelsman

I'm an incoming assistant professor at TTIC, starting in September 2026.

Currently, I am a research scientist at Reve.

I completed my Ph.D. at UC Berkeley, advised by Prof. Alexei Efros. Before that, I was a member of the Perception Team at Google Research (now Google-DeepMind). I completed my M.Sc. at the Weizmann Institute of Science, advised by Prof. Michal Irani, and a B.Sc. at the Open University of Israel.

If you're interested in joining my lab, please don't hesitate to reach out.

Selected Publications

Please visit my google scholar for the full list of publications


Interpreting the Repeated Token Phenomenon in Large Language Models

  • Itay Yona, Jamie Hayes, Ilia Shumailov, Federico Barbero and Yossi Gandelsman
  • ICML 2025
  • paper | code

Learning Video Representations without Natural Videos

Interpreting and Editing Vision-Language Representations
to Mitigate Hallucinations

  • Nick Jiang*, Anish Kachinthaya*, Suzie Petryk† and Yossi Gandelsman†
  • ICLR 2025
  • paper | project page | code

Interpreting the Second-Order Effects of Neurons in CLIP

Interpreting the Weight Space of Customized Diffusion Models

The More You See in 2D, the More You Perceive in 3D

  • Xinyang Han*, Zelin Gao*, Angjoo Kanazawa, Shubham Goel† and Yossi Gandelsman†
  • CVPR 2024 [Spotlight]
  • paper | project page | code

Interpreting CLIP's Image Representation via
Text-Based Decomposition

Rosetta Neurons: Mining the Common Units in a Model Zoo

  • Amil Dravid*, Yossi Gandelsman*, Alexei A. Efros and Assaf Shocher
  • ICCV 2023
  • paper | project page | code

Test-Time Training with Masked Autoencoders

Visual Prompting via Image Inpainting

  • Amir Bar*, Yossi Gandelsman*, Trevor Darrell, Amir Globerson and Alexei A. Efros
  • NeurIPS 2022
  • paper | project page | code

MyStyle: A Personalized Generative Prior

  • Yotam Nitzan, Kfir Aberman, Qiurui He, Orly Liba, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch and Daniel Cohen-Or
  • SIGGRAPH Asia 2022 (journal track)
  • paper | project page | video

Deep ViT Features as Dense Visual Descriptors

  • Shir Amir,Yossi Gandelsman, Shai Bagon and Tali Dekel
  • ECCVW 2022 ["WIMF" Best Spotlight Presentation]
  • paper | project page | code

Explaining in Style:
Training a GAN to explain a classifier in StyleSpace

  • Oran Lang*, Yossi Gandelsman*, Michal Yarom*, Yoav Wald*, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani and Inbar Mosseri
  • ICCV 2021
  • paper | project page | code | video | blog post

Semantic Pyramid for Image Generation

  • Assaf Shocher*, Yossi Gandelsman*, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman and Tali Dekel
  • CVPR 2020 [Oral]
  • paper | project page | video

Double-DIP: Unsupervised Image Decomposition via
Coupled Deep-Image-Priors