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Joshua B. Tenenbaum
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Year
When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data
E Awad, S Levine, A Loreggia, N Mattei, I Rahwan, F Rossi, ...
Autonomous Agents and Multi-Agent Systems 38 (2), 35, 2024
22024
Sketching With Your Voice:" Non-Phonorealistic" Rendering of Sounds via Vocal Imitation
M Caren, K Chandra, JB Tenenbaum, J Ragan-Kelley, K Ma
arXiv preprint arXiv:2409.13507, 2024
2024
SIFToM: Robust Spoken Instruction Following through Theory of Mind
L Ying, JX Liu, S Aarya, Y Fang, S Tellex, JB Tenenbaum, T Shu
arXiv preprint arXiv:2409.10849, 2024
2024
What Makes a Maze Look Like a Maze?
J Hsu, J Mao, JB Tenenbaum, ND Goodman, J Wu
arXiv preprint arXiv:2409.08202, 2024
2024
Evaluating Multiview Object Consistency in Humans and Image Models
T Bonnen, S Fu, Y Bai, T O'Connell, Y Friedman, N Kanwisher, ...
arXiv preprint arXiv:2409.05862, 2024
2024
When rules are over-ruled: Virtual bargaining as a contractualist method of moral judgment
S Levine, M Kleiman-Weiner, N Chater, F Cushman, JB Tenenbaum
Cognition 250, 105790, 2024
122024
Understanding Epistemic Language with a Bayesian Theory of Mind
L Ying, T Zhi-Xuan, L Wong, V Mansinghka, JB Tenenbaum
arXiv preprint arXiv:2408.12022, 2024
2024
Can Large Language Models Understand Symbolic Graphics Programs?
Z Qiu, W Liu, H Feng, Z Liu, TZ Xiao, KM Collins, JB Tenenbaum, A Weller, ...
arXiv preprint arXiv:2408.08313, 2024
2024
Symbolic metaprogram search improves learning efficiency and explains rule learning in humans
JS Rule, ST Piantadosi, A Cropper, K Ellis, M Nye, JB Tenenbaum
Nature Communications 15 (1), 6847, 2024
12024
Compositional Physical Reasoning of Objects and Events from Videos
Z Chen, S Dong, K Yi, Y Li, M Ding, A Torralba, JB Tenenbaum, C Gan
arXiv preprint arXiv:2408.02687, 2024
2024
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals
T Zhi-Xuan, G Kang, V Mansinghka, JB Tenenbaum
arXiv preprint arXiv:2407.16770, 2024
22024
Building Machines that Learn and Think with People
KM Collins, I Sucholutsky, U Bhatt, K Chandra, L Wong, M Lee, CE Zhang, ...
arXiv preprint arXiv:2408.03943, 2024
12024
People use fast, goal-directed simulation to reason about novel games
CE Zhang, KM Collins, L Wong, A Weller, JB Tenenbaum
arXiv preprint arXiv:2407.14095, 2024
2024
Potential Based Diffusion Motion Planning
Y Luo, C Sun, JB Tenenbaum, Y Du
arXiv preprint arXiv:2407.06169, 2024
12024
Compositional Image Decomposition with Diffusion Models
J Su, N Liu, Y Wang, JB Tenenbaum, Y Du
arXiv preprint arXiv:2406.19298, 2024
2024
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads
A Cherian, KC Peng, S Lohit, J Matthiesen, K Smith, JB Tenenbaum
arXiv preprint arXiv:2406.15736, 2024
2024
Using games to understand the mind
K Allen, F Brändle, M Botvinick, JE Fan, SJ Gershman, A Gopnik, ...
Nature Human Behaviour, 1-9, 2024
162024
Learning Iterative Reasoning through Energy Diffusion
Y Du, J Mao, JB Tenenbaum
arXiv preprint arXiv:2406.11179, 2024
12024
Evaluating language models for mathematics through interactions
KM Collins, AQ Jiang, S Frieder, L Wong, M Zilka, U Bhatt, T Lukasiewicz, ...
Proceedings of the National Academy of Sciences 121 (24), e2318124121, 2024
312024
Representational Alignment Supports Effective Machine Teaching
I Sucholutsky, KM Collins, M Malaviya, N Jacoby, W Liu, TR Sumers, ...
arXiv preprint arXiv:2406.04302, 2024
2024
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