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Yossi Gandelsman
Interpreting and Editing Vision-Language Representations
Interpreting CLIP's Image Representation via
Explaining in Style:
Double-DIP: Unsupervised Image Decomposition via
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 apply here.
Selected Publications
Please visit my google scholar for the full list of publications
In-Context Representation Hijacking
- Itay Yona, Amir Sarid, Michael Karasik and Yossi Gandelsman
- Preprint
- paper | project page | code
Vision Transformers Don't Need Trained Registers
- Nick Jiang*, Amil Dravid*, Alexei A. Efros and Yossi Gandelsman
- NeurIPS 2025 [Spotlight]
- paper | project page | code | models
Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs
- Yaniv Nikankin, Dana Arad, Yossi Gandelsman and Yonatan Belinkov
- NeurIPS 2025
- paper | project page | code
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
- Yossi Gandelsman, Alexei A. Efros and Jacob Steinhardt
- ICLR 2025
- paper | project page | code | ResNet follow-up
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
- Yossi Gandelsman, Alexei A. Efros and Jacob Steinhardt
- ICLR 2024 [Oral]
- paper | project page | code | CLIP-InterpreT (demo) | video
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
- Yossi Gandelsman*, Yu Sun*, Xinlei Chen and Alexei A. Efros
- NeurIPS 2022
- paper | project page | code
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
- Yossi Gandelsman, Assaf Shocher and Michal Irani
- CVPR 2019 [Oral]
- paper | project page | code | video