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Sarah Schwettmann
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Natural language descriptions of deep visual features
E Hernandez, S Schwettmann, D Bau, T Bagashvili, A Torralba, J Andreas
International Conference on Learning Representations, 2021
922021
Invariant representations of mass in the human brain
S Schwettmann, JB Tenenbaum, N Kanwisher
Elife 8, e46619, 2019
522019
The role of multiple neuromodulators in reinforcement learning that is based on competition between eligibility traces
MA Huertas, SE Schwettmann, HZ Shouval
Frontiers in synaptic neuroscience 8, 37, 2016
172016
Toward a visual concept vocabulary for gan latent space
S Schwettmann, E Hernandez, D Bau, S Klein, J Andreas, A Torralba
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
142021
Evidence for an Intuitive Physics Engine in the Human Brain.
S Schwettmann, J Fischer, J Tenenbaum, N Kanwisher
CogSci, 2018
92018
Stable reinforcement learning via temporal competition between LTP and LTD traces
MA Huertas, S Schwettmann, A Kirkwood, H Shouval
BMC Neuroscience 15, 1-1, 2014
62014
Find: A function description benchmark for evaluating interpretability methods
S Schwettmann, T Shaham, J Materzynska, N Chowdhury, S Li, J Andreas, ...
Advances in Neural Information Processing Systems 36, 2024
52024
Multimodal neurons in pretrained text-only transformers
S Schwettmann, N Chowdhury, S Klein, D Bau, A Torralba
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
52023
A multimodal automated interpretability agent
TR Shaham, S Schwettmann, F Wang, A Rajaram, E Hernandez, ...
arXiv preprint arXiv:2404.14394, 2024
22024
A Function Interpretation Benchmark for Evaluating Interpretability Methods
S Schwettmann, TR Shaham, J Materzynska, N Chowdhury, S Li, ...
arXiv preprint arXiv:2309.03886, 2023
22023
Neural representation of the intuitive physical dimension of mass
S Schwettmann, J Fischer, J Tenenbaum, N Kanwisher
Journal of Vision 18 (10), 731-731, 2018
22018
Automatic Discovery of Visual Circuits
A Rajaram, N Chowdhury, A Torralba, J Andreas, S Schwettmann
arXiv preprint arXiv:2404.14349, 2024
12024
A Multimodal Automated Interpretability Agent
T Rott Shaham, S Schwettmann, F Wang, A Rajaram, E Hernandez, ...
arXiv e-prints, arXiv: 2404.14394, 2024
2024
An Alternative to Regulation: The Case for Public AI
N Vincent, D Bau, S Schwettmann, J Tan
arXiv preprint arXiv:2311.11350, 2023
2023
Generalizable Representations for Vision in Biological and Artificial Neural Networks
SE Schwettmann
Massachusetts Institute of Technology, 2021
2021
Latent Compass: Creation by Navigation
S Schwettmann, H Strobelt, M Martino
arXiv preprint arXiv:2012.14283, 2020
2020
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Articles 1–16