Visualizing Image Priors. - Tamar Rott Shaham; Tomer Michaeli (ECCV (6), 2016)

xUnit: Learning a Spatial Activation Function for Efficient Image Restoration. - Idan Kligvasser; Tamar Rott Shaham; Tomer Michaeli (CVPR, 2018)

Deformation Aware Image Compression. - Tamar Rott Shaham; Tomer Michaeli (CVPR, 2018)

SinGAN: Learning a Generative Model From a Single Natural Image. - Tamar Rott Shaham; Tali Dekel; Tomer Michaeli (ICCV, 2019)

Spatially-Adaptive Pixelwise Networks for Fast Image Translation. - Tamar Rott Shaham; Michaël Gharbi; Richard Zhang 001; Eli Shechtman; Tomer Michaeli (CVPR, 2021)

Catch-A-Waveform: Learning to Generate Audio from a Single Short Example. - Gal Greshler; Tamar Rott Shaham; Tomer Michaeli (NeurIPS, 2021)

Deep Self-Dissimilarities as Powerful Visual Fingerprints. - Idan Kligvasser; Tamar Rott Shaham; Yuval Bahat; Tomer Michaeli (NeurIPS, 2021)

GANs Spatial Control via Inference-Time Adaptive Normalization. - Karin Jakoel; Liron Efraim; Tamar Rott Shaham (WACV, 2022)

BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning. - Idan Kligvasser; Tamar Rott Shaham; Noa Alkobi; Tomer Michaeli (CoRR, 2022)

Internal Diverse Image Completion. - Noa Alkobi; Tamar Rott Shaham; Tomer Michaeli (CVPR Workshops, 2023)

FIND: A Function Description Benchmark for Evaluating Interpretability Methods. - Sarah Schwettmann; Tamar Rott Shaham; Joanna Materzynska; Neil Chowdhury; Shuang Li 013; Jacob Andreas; David Bau; Antonio Torralba 001 (NeurIPS, 2023)

Discovering Variable Binding Circuitry with Desiderata. - Xander Davies; Max Nadeau; Nikhil Prakash; Tamar Rott Shaham; David Bau (CoRR, 2023)

A Function Interpretation Benchmark for Evaluating Interpretability Methods. - Sarah Schwettmann; Tamar Rott Shaham; Joanna Materzynska; Neil Chowdhury; Shuang Li 013; Jacob Andreas; David Bau; Antonio Torralba 001 (CoRR, 2023)

A Vision Check-up for Language Models. - Pratyusha Sharma; Tamar Rott Shaham; Manel Baradad; Adrián Rodríuez-Muñoz; Shivam Duggal; Phillip Isola; Antonio Torralba 001; Stephanie Fu (CVPR, 2024)

Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. - Nikhil Prakash; Tamar Rott Shaham; Tal Haklay; Yonatan Belinkov; David Bau (ICLR, 2024)

A Multimodal Automated Interpretability Agent. - Tamar Rott Shaham; Sarah Schwettmann; Franklin Wang; Achyuta Rajaram; Evan Hernandez; Jacob Andreas; Antonio Torralba 001 (ICML, 2024)

A Vision Check-up for Language Models. - Pratyusha Sharma; Tamar Rott Shaham; Manel Baradad; Stephanie Fu; Adrián Rodríguez-Muñoz; Shivam Duggal; Phillip Isola; Antonio Torralba 001 (CoRR, 2024)

SketchAgent: Language-Driven Sequential Sketch Generation. - Yael Vinker; Tamar Rott Shaham; Kristine Zheng; Alex Zhao; Judith E. Fan; Antonio Torralba 001 (CVPR, 2025)

Language Models use Lookbacks to Track Beliefs. - Nikhil Prakash; Natalie Shapira; Arnab Sen Sharma; Christoph Riedl; Yonatan Belinkov; Tamar Rott Shaham; David Bau; Atticus Geiger (CoRR, 2025)