Sarah Schwettmann

According to our database, Sarah Schwettmann authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Automatic Discovery of Visual Circuits.

Achyuta Rajaram, Neil Chowdhury, Antonio Torralba, Jacob Andreas, Sarah Schwettmann

CoRR, 2024

A Multimodal Automated Interpretability Agent.

Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Nearest Neighbor Normalization Improves Multimodal Retrieval.

Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

An Alternative to Regulation: The Case for Public AI.

Nicholas Vincent, David Bau, Sarah Schwettmann, Joshua Tan

CoRR, 2023

A Function Interpretation Benchmark for Evaluating Interpretability Methods.

Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba

CoRR, 2023

Multimodal Neurons in Pretrained Text-Only Transformers.

Sarah Schwettmann, Neil Chowdhury, Antonio Torralba

CoRR, 2023

FIND: A Function Description Benchmark for Evaluating Interpretability Methods.

Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multimodal Neurons in Pretrained Text-Only Transformers.

Sarah Schwettmann, Neil Chowdhury, Samuel Klein, David Bau, Antonio Torralba

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Natural Language Descriptions of Deep Visual Features.

Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Toward a Visual Concept Vocabulary for GAN Latent Space.

Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Latent Compass: Creation by Navigation.

Sarah Schwettmann, Hendrik Strobelt, Mauro Martino

CoRR, 2020

2018

Evidence for an Intuitive Physics Engine in the Human Brain.

Sarah Schwettmann, Jason Fischer, Josh Tenenbaum, Nancy Kanwisher

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018