Tamar Rott Shaham

34 papers A* 11A 1Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agents of Chaos. CoRR Natalie Shapira, Chris Wendler, Avery Yen, Gabriele Sarti, Koyena Pal, Olivia Floody, Adam Belfki, Alexander R. Loftus, Aditya Ratan Jannali, Nikhil Prakash, Jasmine Cui, Giordano Rogers, Jannik Brinkmann, Can Rager, Amir Zur, Michael Ripa, Aruna Sankaranarayanan, David Atkinson, Rohit Gandikota, Jaden Fiotto-Kaufman, Eunjeong Hwang, Hadas Orgad, P. Sam Sahil, Negev Taglicht, Tomer Shabtay, Atai Ambus, Nitay Alon, Shiri Oron, Ayelet Gordon-Tapiero, Yotam Kaplan, Vered Shwartz, Tamar Rott Shaham, Christoph Riedl, Reuth Mirsky, Maarten Sap, David Manheim, Tomer Ullman, David Bau
2026	J	`jnl`	Pitfalls in Evaluating Interpretability Agents. CoRR Tal Haklay, Nikhil Prakash, Sana Pandey, Antonio Torralba, Aaron Mueller, Jacob Andreas, Tamar Rott Shaham, Yonatan Belinkov
2026	J	`jnl`	The Dual Mechanisms of Spatial Reasoning in Vision-Language Models. CoRR Kelly Cui, Nikhil Prakash, Ayush Raina, David Bau, Antonio Torralba, Tamar Rott Shaham
2025	J	`jnl`	Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent. CoRR Christy Li, Josep López Camuñas, Jake Thomas Touchet, Jacob Andreas, Àgata Lapedriza, Antonio Torralba, Tamar Rott Shaham
2025	J	`jnl`	BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain. CoRR Navve Wasserman, Matias Cosarinsky, Yuval Golbari, Aude Oliva, Antonio Torralba, Tamar Rott Shaham, Michal Irani
2025	J	`jnl`	Language Models use Lookbacks to Track Beliefs. CoRR Nikhil Prakash, Natalie Shapira, Arnab Sen Sharma, Christoph Riedl, Yonatan Belinkov, Tamar Rott Shaham, David Bau, Atticus Geiger
2025	A*	`conf`	SketchAgent: Language-Driven Sequential Sketch Generation. CVPR Yael Vinker, Tamar Rott Shaham, Kristine Zheng, Alex Zhao, Judith E. Fan, Antonio Torralba
2024	A*	`conf`	A Multimodal Automated Interpretability Agent. ICML Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba
2024	J	`jnl`	A Multimodal Automated Interpretability Agent. CoRR Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba
2024	A*	`conf`	A Vision Check-up for Language Models. CVPR Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Adrián Rodríuez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba, Stephanie Fu
2024	J	`jnl`	A Vision Check-up for Language Models. CoRR Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba
2024	A*	`conf`	Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. ICLR Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau
2024	J	`jnl`	Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. CoRR Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau
2024	J	`jnl`	SketchAgent: Language-Driven Sequential Sketch Generation. CoRR Yael Vinker, Tamar Rott Shaham, Kristine Zheng, Alex Zhao, Judith E. Fan, Antonio Torralba
2023	J	`jnl`	A Function Interpretation Benchmark for Evaluating Interpretability Methods. CoRR Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba
2023	J	`jnl`	Discovering Variable Binding Circuitry with Desiderata. CoRR Xander Davies, Max Nadeau, Nikhil Prakash, Tamar Rott Shaham, David Bau
2023	A*	`conf`	FIND: A Function Description Benchmark for Evaluating Interpretability Methods. NeurIPS Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba
2023	—	`conf`	Internal Diverse Image Completion. CVPR Workshops Noa Alkobi, Tamar Rott Shaham, Tomer Michaeli
2022	J	`jnl`	BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning. CoRR Idan Kligvasser, Tamar Rott Shaham, Noa Alkobi, Tomer Michaeli
2022	A	`conf`	GANs Spatial Control via Inference-Time Adaptive Normalization. WACV Karin Jakoel, Liron Efraim, Tamar Rott Shaham
2022	J	`jnl`	Internal Diverse Image Completion. CoRR Noa Alkobi, Tamar Rott Shaham, Tomer Michaeli
2021	A*	`conf`	Catch-A-Waveform: Learning to Generate Audio from a Single Short Example. NeurIPS Gal Greshler, Tamar Rott Shaham, Tomer Michaeli
2021	J	`jnl`	Catch-A-Waveform: Learning to Generate Audio from a Single Short Example. CoRR Gal Greshler, Tamar Rott Shaham, Tomer Michaeli
2021	A*	`conf`	Deep Self-Dissimilarities as Powerful Visual Fingerprints. NeurIPS Idan Kligvasser, Tamar Rott Shaham, Yuval Bahat, Tomer Michaeli
2021	A*	`conf`	Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CVPR Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
2020	J	`jnl`	Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CoRR Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
2019	A*	`conf`	SinGAN: Learning a Generative Model From a Single Natural Image. ICCV Tamar Rott Shaham, Tali Dekel, Tomer Michaeli
2019	J	`jnl`	SinGAN: Learning a Generative Model from a Single Natural Image. CoRR Tamar Rott Shaham, Tali Dekel, Tomer Michaeli
2018	A*	`conf`	Deformation Aware Image Compression. CVPR Tamar Rott Shaham, Tomer Michaeli
2018	—	`conf`	Deformation Aware Image Compression. CVPR Workshops Tamar Rott Shaham, Tomer Michaeli
2018	J	`jnl`	Deformation Aware Image Compression. CoRR Tamar Rott Shaham, Tomer Michaeli
2018	A*	`conf`	xUnit: Learning a Spatial Activation Function for Efficient Image Restoration. CVPR Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli
2017	J	`jnl`	xUnit: Learning a Spatial Activation Function for Efficient Image Restoration. CoRR Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli
2016	—	`conf`	Visualizing Image Priors. ECCV (6) Tamar Rott Shaham, Tomer Michaeli