🧑‍🔬 Joshua B. Tenenbaum — all works

42 works · ← Joshua B. Tenenbaum

1. Human-level concept learning through probabilistic program induction ↗Science 350(6266):1332–1338 · no summary yetBrenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum2015 · 2,959 citations
2. Hierarchical Topic Models and the Nested Chinese Restaurant Process ↗no summary yetThomas L. Griffiths et al.2003 · 986 citations
3. Meta-Learning for Semi-Supervised Few-Shot Classification ↗arXiv (Cornell University) · no summary yetMengye Ren et al.2018 · 742 citations
4. Improving Factuality and Reasoning in Language Models through Multiagent DebatearXiv:2305.14325Yilun Du, Shuang Li, Antonio Torralba, et al.2023 · 587 citations
5. Integrating Topics and Syntax ↗no summary yetThomas L. Griffiths et al.2004 · 546 citations
6. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding ↗arXiv:1810.02338 · no summary yetKexin Yi et al.2018 · 407 citations
7. Learning to share visual appearance for multiclass object detection ↗no summary yetRuslan Salakhutdinov, Antonio B. Torralba, Joshua B. Tenenbaum2011 · 338 citations
8. Modelling Relational Data using Bayesian Clustered Tensor Factorization ↗no summary yetIlya Sutskever, Ruslan Salakhutdinov, Joshua B. Tenenbaum2009 · 255 citations
9. The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision ↗arXiv:1904.12584 · no summary yetJiayuan Mao et al.2019 · 241 citations
10. Neural Radiance Flow for 4D View Synthesis and Video Processing ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYilun Du et al.2021 · 236 citations
11. Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAmir Soltani et al.2017 · 190 citations
12. LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversConference on Empirical Methods in Natural Language Processing (EMNLP)Theo X. Olausson, Alex Gu, Benjamin Lipkin, et al.2023 · 172 citations
13. Picture: A probabilistic programming language for scene perception ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetTejas D. Kulkarni et al.2015 · 145 citations
14. Neural Scene De-rendering ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli2017 · 119 citations
15. Generalized Planning in PDDL Domains with Pretrained Large Language Models ↗arXiv:2305.11014 · no summary yetTom Silver et al.2023 · 112 citations
16. Building Cooperative Embodied Agents Modularly with Large Language Models ↗arXiv:2307.02485 · no summary yetHongxin Zhang et al.2023 · 95 citations
17. Planning with Large Language Models for Code Generation ↗arXiv:2303.05510 · no summary yetShun Zhang et al.2023 · 90 citations
18. Write, Execute, Assess: Program Synthesis with a REPL ↗arXiv:1906.04604 · no summary yetKevin Ellis et al.2019 · 86 citations
19. Learning to Infer Program Sketches ↗arXiv:1902.06349 · no summary yetMaxwell Nye et al.2019 · 53 citations
20. The three pillars of machine programming ↗no summary yetJustin Gottschlich et al.2018 · 53 citations
21. MMToM-QA: Multimodal Theory of Mind Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Chuanyang Jin, Yutong Wu, Jing Cao, et al.2024 · 44 citations
22. Evaluating Language Models for Mathematics through Interactions ↗arXiv:2306.01694 · no summary yetKatherine M. Collins et al.2023 · 40 citations
23. 3D-Aware Scene Manipulation via Inverse Graphics ↗arXiv (Cornell University) · no summary yetShunyu Yao et al.2018 · 40 citations
24. LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery ↗arXiv:2405.09783 · no summary yetPingchuan Ma et al.2024 · 33 citations
25. Exploiting compositionality to explore a large space of model structures ↗arXiv (Cornell University) · no summary yetRoger Grosse et al.2012 · 33 citations
26. Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems ↗arXiv (Cornell University) · no summary yetDavid Dalrymple et al.2024 · 24 citations
27. Physion: Evaluating Physical Prediction from Vision in Humans and Machines ↗arXiv:2106.08261 · no summary yetDaniel M. Bear et al.2021 · 23 citations
28. Communicating Natural Programs to Humans and Machines ↗arXiv:2106.07824 · no summary yetSamuel Acquaviva et al.2021 · 22 citations
29. Evaluating statistical language models as pragmatic reasonersarXiv:2305.01020Benjamin Lipkin, Lionel Wong, Gabriel Grand, et al.2023 · 18 citations
30. Learning Iterative Reasoning through Energy Diffusion ↗arXiv:2406.11179 · no summary yetYilun Du, Jiayuan Mao, Joshua B. Tenenbaum2024 · 11 citations
31. Object-Centric Diagnosis of Visual Reasoning ↗arXiv (Cornell University) · no summary yetJianwei Yang et al.2020 · 11 citations
32. DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs ↗International Joint Conference on Artificial Intelligence · no summary yetYunbo Wang et al.2020 · 10 citations
33. The Omniglot challenge: a 3-year progress report ↗arXiv:1902.03477 · no summary yetBrenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum2019 · 8 citations
34. On Benchmarking Human-Like Intelligence in Machines ↗arXiv:2502.20502 · no summary yetLance Ying et al.2025 · 7 citations
35. Physically Compatible 3D Object Modeling from a Single Image ↗neural information processing systems · no summary yetMinghao Guo et al.2024 · 6 citations
36. On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetLinlu Qiu et al.2025 · 3 citations
37. Revisiting the Roles of “Text” in Text Games ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetYi Gu et al.2022 · 3 citations
38. Learning to Learn with Compound HD Models ↗no summary yetRuslan Salakhutdinov, Joshua B. Tenenbaum, Antonio B. Torralba2012 · 2 citations
39. The Three Pillars of Machine-Based Programming. ↗no summary yetJustin Gottschlich et al.2018 · 1 citation
40. Workshop on Unsupervised and Transfer Learning One-Shot Learning with a Hierarchical Nonparametric Bayesian Model ↗no summary yetRuslan Salakhutdinov et al.2013
41. massachusetts institute of technology, cambridge, ma 02,139 usa — www.csail.mit.eduOne-Shot Learning with a Hierarchical Nonparametric Bayesian Model ↗no summary yetRuslan Salakhutdinov et al.2010
42. Hierarchical topic models and the nested Chinese restaurant process. NIPS ↗no summary yetDavid M. Blei et al.2004

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