---
title: "Joshua B. Tenenbaum — all works — Elamur Research"
description: "All 42 works of Joshua B. Tenenbaum in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/joshua-b-tenenbaum/works/"
---
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# Joshua B. Tenenbaum — all works

42 works · [← Joshua B. Tenenbaum](https://md.research.elamur.ai/free/en/authors/joshua-b-tenenbaum/)

1. **[Human-level concept learning through probabilistic program induction ↗](https://doi.org/10.1126/science.aab3050) Science 350(6266):1332–1338 · no summary yet**Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum*2015 · 2,959 citations*
2. **[Hierarchical Topic Models and the Nested Chinese Restaurant Process ↗](https://openalex.org/W2132827946) no summary yet**Thomas L. Griffiths et al.*2003 · 986 citations*
3. **[Meta-Learning for Semi-Supervised Few-Shot Classification ↗](https://arxiv.org/abs/1803.00676) arXiv (Cornell University) · no summary yet**Mengye Ren et al.*2018 · 742 citations*
4. [**Improving Factuality and Reasoning in Language Models through Multiagent Debate arXiv:2305.14325**Yilun Du, Shuang Li, Antonio Torralba, et al.*2023 · 587 citations*](https://md.research.elamur.ai/free/en/papers/du-2023-improving-factuality-reasoning-language-models/)
5. **[Integrating Topics and Syntax ↗](https://openalex.org/W2112971401) no summary yet**Thomas L. Griffiths et al.*2004 · 546 citations*
6. **[Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding ↗](https://arxiv.org/abs/1810.02338) arXiv:1810.02338 · no summary yet**Kexin Yi et al.*2018 · 407 citations*
7. **[Learning to share visual appearance for multiclass object detection ↗](https://doi.org/10.1109/cvpr.2011.5995720) no summary yet**Ruslan Salakhutdinov, Antonio B. Torralba, Joshua B. Tenenbaum*2011 · 338 citations*
8. **[Modelling Relational Data using Bayesian Clustered Tensor Factorization ↗](https://openalex.org/W2123228027) no summary yet**Ilya Sutskever, Ruslan Salakhutdinov, Joshua B. Tenenbaum*2009 · 255 citations*
9. **[The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision ↗](https://arxiv.org/abs/1904.12584) arXiv:1904.12584 · no summary yet**Jiayuan Mao et al.*2019 · 241 citations*
10. **[Neural Radiance Flow for 4D View Synthesis and Video Processing ↗](https://doi.org/10.1109/iccv48922.2021.01406) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yilun Du et al.*2021 · 236 citations*
11. **[Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks ↗](https://doi.org/10.1109/cvpr.2017.269) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Amir Soltani et al.*2017 · 190 citations*
12. **[LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers](https://md.research.elamur.ai/free/en/papers/olausson-2023-linc-neurosymbolic-approach-logical-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Theo X. Olausson, Alex Gu, Benjamin Lipkin, et al.*2023 · 172 citations*
13. **[Picture: A probabilistic programming language for scene perception ↗](https://doi.org/10.1109/cvpr.2015.7299068) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Tejas D. Kulkarni et al.*2015 · 145 citations*
14. **[Neural Scene De-rendering ↗](https://doi.org/10.1109/cvpr.2017.744) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli*2017 · 119 citations*
15. **[Generalized Planning in PDDL Domains with Pretrained Large Language Models ↗](https://arxiv.org/abs/2305.11014) arXiv:2305.11014 · no summary yet**Tom Silver et al.*2023 · 112 citations*
16. **[Building Cooperative Embodied Agents Modularly with Large Language Models ↗](https://arxiv.org/abs/2307.02485) arXiv:2307.02485 · no summary yet**Hongxin Zhang et al.*2023 · 95 citations*
17. **[Planning with Large Language Models for Code Generation ↗](https://arxiv.org/abs/2303.05510) arXiv:2303.05510 · no summary yet**Shun Zhang et al.*2023 · 90 citations*
18. **[Write, Execute, Assess: Program Synthesis with a REPL ↗](https://arxiv.org/abs/1906.04604) arXiv:1906.04604 · no summary yet**Kevin Ellis et al.*2019 · 86 citations*
19. **[Learning to Infer Program Sketches ↗](https://arxiv.org/abs/1902.06349) arXiv:1902.06349 · no summary yet**Maxwell Nye et al.*2019 · 53 citations*
20. **[The three pillars of machine programming ↗](https://doi.org/10.1145/3211346.3211355) no summary yet**Justin Gottschlich et al.*2018 · 53 citations*
21. **[MMToM-QA: Multimodal Theory of Mind Question Answering](https://md.research.elamur.ai/free/en/papers/jin-2024-mmtom-qa-multimodal-theory-mind/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuanyang Jin, Yutong Wu, Jing Cao, et al.*2024 · 44 citations*
22. **[Evaluating Language Models for Mathematics through Interactions ↗](https://arxiv.org/abs/2306.01694) arXiv:2306.01694 · no summary yet**Katherine M. Collins et al.*2023 · 40 citations*
23. **[3D-Aware Scene Manipulation via Inverse Graphics ↗](https://arxiv.org/abs/1808.09351) arXiv (Cornell University) · no summary yet**Shunyu Yao et al.*2018 · 40 citations*
24. **[LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery ↗](https://arxiv.org/abs/2405.09783) arXiv:2405.09783 · no summary yet**Pingchuan Ma et al.*2024 · 33 citations*
25. **[Exploiting compositionality to explore a large space of model structures ↗](https://arxiv.org/abs/1210.4856) arXiv (Cornell University) · no summary yet**Roger Grosse et al.*2012 · 33 citations*
26. **[Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems ↗](https://arxiv.org/abs/2405.06624) arXiv (Cornell University) · no summary yet**David Dalrymple et al.*2024 · 24 citations*
27. **[Physion: Evaluating Physical Prediction from Vision in Humans and Machines ↗](https://arxiv.org/abs/2106.08261) arXiv:2106.08261 · no summary yet**Daniel M. Bear et al.*2021 · 23 citations*
28. **[Communicating Natural Programs to Humans and Machines ↗](https://arxiv.org/abs/2106.07824) arXiv:2106.07824 · no summary yet**Samuel Acquaviva et al.*2021 · 22 citations*
29. [**Evaluating statistical language models as pragmatic reasoners arXiv:2305.01020**Benjamin Lipkin, Lionel Wong, Gabriel Grand, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/lipkin-2023-evaluating-statistical-language-models-pragmatic/)
30. **[Learning Iterative Reasoning through Energy Diffusion ↗](https://arxiv.org/abs/2406.11179) arXiv:2406.11179 · no summary yet**Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum*2024 · 11 citations*
31. **[Object-Centric Diagnosis of Visual Reasoning ↗](https://arxiv.org/abs/2012.11587) arXiv (Cornell University) · no summary yet**Jianwei Yang et al.*2020 · 11 citations*
32. **[DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs ↗](https://doi.org/10.24963/ijcai.2020/579) International Joint Conference on Artificial Intelligence · no summary yet**Yunbo Wang et al.*2020 · 10 citations*
33. **[The Omniglot challenge: a 3-year progress report ↗](https://arxiv.org/abs/1902.03477) arXiv:1902.03477 · no summary yet**Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum*2019 · 8 citations*
34. **[On Benchmarking Human-Like Intelligence in Machines ↗](https://arxiv.org/abs/2502.20502) arXiv:2502.20502 · no summary yet**Lance Ying et al.*2025 · 7 citations*
35. **[Physically Compatible 3D Object Modeling from a Single Image ↗](https://doi.org/10.52202/079017-3789) neural information processing systems · no summary yet**Minghao Guo et al.*2024 · 6 citations*
36. **[On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts ↗](https://aclanthology.org/2025.emnlp-main.1008/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Linlu Qiu et al.*2025 · 3 citations*
37. **[Revisiting the Roles of “Text” in Text Games ↗](https://aclanthology.org/2022.findings-emnlp.510/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Yi Gu et al.*2022 · 3 citations*
38. **[Learning to Learn with Compound HD Models ↗](https://openalex.org/W7098679922) no summary yet**Ruslan Salakhutdinov, Joshua B. Tenenbaum, Antonio B. Torralba*2012 · 2 citations*
39. **[The Three Pillars of Machine-Based Programming. ↗](https://openalex.org/W2793355796) no summary yet**Justin Gottschlich et al.*2018 · 1 citation*
40. **[Workshop on Unsupervised and Transfer Learning One-Shot Learning with a Hierarchical Nonparametric Bayesian Model ↗](https://openalex.org/W7099767893) no summary yet**Ruslan 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 ↗](https://openalex.org/W7100420980) no summary yet**Ruslan Salakhutdinov et al.*2010*
42. **[Hierarchical topic models and the nested Chinese restaurant process. NIPS ↗](https://openalex.org/W7099976173) no summary yet**David M. Blei et al.*2004*