"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. - Yossi Gandelsman; Assaf Shocher; Michal Irani (CVPR, 2019)

Semantic Pyramid for Image Generation. - Assaf Shocher; Yossi Gandelsman; Inbar Mosseri; Michal Yarom; Michal Irani; William T. Freeman; Tali Dekel (CVPR, 2020)

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; Inbar Mosseri (ICCV, 2021)

Deep ViT Features as Dense Visual Descriptors. - Shir Amir; Yossi Gandelsman; Shai Bagon; Tali Dekel (CoRR, 2021)

Deep Saliency Prior for Reducing Visual Distraction. - Kfir Aberman; Junfeng He; Yossi Gandelsman; Inbar Mosseri; David E. Jacobs; Kai Kohlhoff; Yael Pritch; Michael Rubinstein (CVPR, 2022)

On the Effectiveness of ViT Features as Local Semantic Descriptors. - Shir Amir; Yossi Gandelsman; Shai Bagon; Tali Dekel (ECCV Workshops (4), 2022)

Visual Prompting via Image Inpainting. - Amir Bar; Yossi Gandelsman; Trevor Darrell; Amir Globerson; Alexei A. Efros (NeurIPS, 2022)

Test-Time Training with Masked Autoencoders. - Yossi Gandelsman; Yu Sun 020; Xinlei Chen; Alexei A. Efros (NeurIPS, 2022)

Learning A Personalized Generative Prior For Face Images. - Yotam Nitzan; Kfir Aberman; Orly Liba; Qiurui He 001; Michal Yarom; Yossi Gandelsman; Inbar Mosseri; Yael Pritch; Daniel Cohen-Or (SIGGRAPH Posters, 2022)

MyStyle: A Personalized Generative Prior. - Yotam Nitzan; Kfir Aberman; Qiurui He 001; Orly Liba; Michal Yarom; Yossi Gandelsman; Inbar Mosseri; Yael Pritch; Daniel Cohen-Or (ACM Trans. Graph., 2022)

Rosetta Neurons: Mining the Common Units in a Model Zoo. - Amil Dravid; Yossi Gandelsman; Alexei A. Efros; Assaf Shocher (ICCV, 2023)

Test-Time Training on Video Streams. - Renhao Wang; Yu Sun 020; Yossi Gandelsman; Xinlei Chen; Alexei A. Efros; Xiaolong Wang 004 (CoRR, 2023)

Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining. - Tianyu Han; Laura Zigutyte; Luisa Huck; Marc Huppertz; Robert Siepmann; Yossi Gandelsman; Christian Blüthgen; Firas Khader; Christiane Kuhl; Sven Nebelung; Jakob Nikolas Kather; Daniel Truhn (CoRR, 2023)

The More You See in 2D, the More You Perceive in 3D. - Xinyang Han; Zelin Gao; Angjoo Kanazawa; Shubham Goel 001; Yossi Gandelsman (CVPR, 2024)

Interpreting CLIP's Image Representation via Text-Based Decomposition. - Yossi Gandelsman; Alexei A. Efros; Jacob Steinhardt (ICLR, 2024)

Idempotent Generative Network. - Assaf Shocher; Amil Dravid; Yossi Gandelsman; Inbar Mosseri; Michael Rubinstein; Alexei A. Efros (ICLR, 2024)

Interpreting the Weight Space of Customized Diffusion Models. - Amil Dravid; Yossi Gandelsman; Kuan-Chieh Wang; Rameen Abdal; Gordon Wetzstein; Alexei A. Efros; Kfir Aberman (NeurIPS, 2024)

Synthesizing Moving People with 3D Control. - Boyi Li; Jathushan Rajasegaran; Yossi Gandelsman; Alexei A. Efros; Jitendra Malik (CoRR, 2024)

Quantifying and Enabling the Interpretability of CLIP-like Models. - Avinash Madasu; Yossi Gandelsman; Vasudev Lal; Phillip Howard (CoRR, 2024)

Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations. - Nick Jiang; Anish Kachinthaya; Suzie Petryk; Yossi Gandelsman (CoRR, 2024)

Learning Video Representations without Natural Videos. - Xueyang Yu; Xinlei Chen; Yossi Gandelsman (CoRR, 2024)

IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks. - Jiarui Xu; Yossi Gandelsman; Amir Bar; Jianwei Yang; Jianfeng Gao 001; Trevor Darrell; Xiaolong Wang 004 (Trans. Mach. Learn. Res., 2024)

Interpreting the Second-Order Effects of Neurons in CLIP. - Yossi Gandelsman; Alexei A. Efros; Jacob Steinhardt (ICLR, 2025)

Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations. - Nick Jiang; Anish Kachinthaya; Suzanne Petryk; Yossi Gandelsman (ICLR, 2025)

An Empirical Study of Autoregressive Pre-training from Videos. - Jathushan Rajasegaran; Ilija Radosavovic; Rahul Ravishankar; Yossi Gandelsman; Christoph Feichtenhofer; Jitendra Malik (CoRR, 2025)

LLMs can see and hear without any training. - Kumar Ashutosh; Yossi Gandelsman; Xinlei Chen; Ishan Misra; Rohit Girdhar (CoRR, 2025)

Interpreting the Repeated Token Phenomenon in Large Language Models. - Itay Yona; Ilia Shumailov; Jamie Hayes; Federico Barbero; Yossi Gandelsman (CoRR, 2025)

Teaching Humans Subtle Differences with DIFFusion. - Mia Chiquier; Orr Avrech; Yossi Gandelsman; Berthy Feng; Katherine L. Bouman; Carl Vondrick (CoRR, 2025)

Steering CLIP's vision transformer with sparse autoencoders. - Sonia Joseph; Praneet Suresh; Ethan Goldfarb; Lorenz Hufe; Yossi Gandelsman; Robert Graham; Danilo Bzdok; Wojciech Samek; Blake Aaron Richards (CoRR, 2025)

Vision Transformers Don't Need Trained Registers. - Nick Jiang; Amil Dravid; Alexei A. Efros; Yossi Gandelsman (CoRR, 2025)

Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs. - Yaniv Nikankin; Dana Arad; Yossi Gandelsman; Yonatan Belinkov (CoRR, 2025)