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ORCIDJoshua B. Tenenbaum
Josh Tenenbaum 0001
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- affiliation: Massachusetts Institute of Technology (MIT), Department of Brain and Cognitive Sciences, Cambridge, MA, USA
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2020 – today
- 2023
[j31]Matthew Bowers
, Theo X. Olausson, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama:
Top-Down Synthesis for Library Learning. Proc. ACM Program. Lang. 7(POPL): 1182-1213 (2023)- [j30]Ria Das, Joshua B. Tenenbaum, Armando Solar-Lezama, Zenna Tavares:
Combining Functional and Automata Synthesis to Discover Causal Reactive Programs. Proc. ACM Program. Lang. 7(POPL): 1628-1658 (2023) - [i226]Ilker Yildirim, Max H. Siegel, Amir Arsalan Soltani, Shraman Ray Chaudhari, Joshua B. Tenenbaum:
3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis. CoRR abs/2301.03711 (2023) - [i225]Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. CoRR abs/2301.05223 (2023) - [i224]Kyle Mahowald, Anna A. Ivanova, Idan Asher Blank, Nancy Kanwisher, Joshua B. Tenenbaum, Evelina Fedorenko:
Dissociating language and thought in large language models: a cognitive perspective. CoRR abs/2301.06627 (2023) - [i223]Yilun Du, Mengjiao Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B. Tenenbaum, Dale Schuurmans, Pieter Abbeel:
Learning Universal Policies via Text-Guided Video Generation. CoRR abs/2302.00111 (2023) - [i222]Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka:
3D Neural Embedding Likelihood for Robust Sim-to-Real Transfer in Inverse Graphics. CoRR abs/2302.03744 (2023) - [i221]Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba:
ConceptFusion: Open-set Multimodal 3D Mapping. CoRR abs/2302.07241 (2023) - [i220]Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl:
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. CoRR abs/2302.11552 (2023) - [i219]Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. CoRR abs/2303.05487 (2023) - [i218]Zhezheng Luo, Jiayuan Mao, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
On the Expressiveness and Generalization of Hypergraph Neural Networks. CoRR abs/2303.05490 (2023) - [i217]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
PDSketch: Integrated Planning Domain Programming and Learning. CoRR abs/2303.05501 (2023) - [i216]Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan:
Planning with Large Language Models for Code Generation. CoRR abs/2303.05510 (2023) - [i215]Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum:
Tactile-Filter: Interactive Tactile Perception for Part Mating. CoRR abs/2303.06034 (2023) - [i214]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects. CoRR abs/2303.07308 (2023) - [i213]Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan:
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. CoRR abs/2303.09555 (2023) - [i212]Yining Hong, Chunru Lin, Yilun Du, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan:
3D Concept Learning and Reasoning from Multi-View Images. CoRR abs/2303.11327 (2023) - [i211]Hongyi Chen, Yilun Du, Yiye Chen, Joshua B. Tenenbaum, Patricio A. Vela:
Planning with Sequence Models through Iterative Energy Minimization. CoRR abs/2303.16189 (2023) - [i210]Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. CoRR abs/2304.03223 (2023) - [i209]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CoRR abs/2304.03282 (2023) - [i208]Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following. CoRR abs/2304.03767 (2023) - [i207]Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel L. K. Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CoRR abs/2304.11470 (2023) - [i206]Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik:
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics. CoRR abs/2304.14369 (2023) - [i205]Benjamin Lipkin, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum:
Evaluating statistical language models as pragmatic reasoners. CoRR abs/2305.01020 (2023) - [i204]Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz:
Generalized Planning in PDDL Domains with Pretrained Large Language Models. CoRR abs/2305.11014 (2023) - [i203]Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch:
Improving Factuality and Reasoning in Language Models through Multiagent Debate. CoRR abs/2305.14325 (2023) - [i202]Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley:
Acting as Inverse Inverse Planning. CoRR abs/2305.16913 (2023) - [i201]Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Joshua B. Tenenbaum:
Inferring the Future by Imagining the Past. CoRR abs/2305.17195 (2023) - 2022
- [j29]Kenji Doya, Karl J. Friston, Masashi Sugiyama, Joshua B. Tenenbaum:
Neural Networks special issue on Artificial Intelligence and Brain Science. Neural Networks 155: 328-329 (2022) - [j28]Michael Henry Tessler, Joshua B. Tenenbaum, Noah D. Goodman:
Logic, Probability, and Pragmatics in Syllogistic Reasoning. Top. Cogn. Sci. 14(3): 574-601 (2022) - [c353]Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. AAAI 2022: 1962-1971 - [c352]Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Discovering State and Action Abstractions for Generalized Task and Motion Planning. AAAI 2022: 5377-5384 - [c351]Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRL 2022: 701-714 - [c350]Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following. CoRL 2022: 1743-1754 - [c349]Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CVPR 2022: 1403-1413 - [c348]Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba:
Finding Fallen Objects Via Asynchronous Audio-Visual Integration. CVPR 2022: 10513-10523 - [c347]Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum:
Compositional Visual Generation with Composable Diffusion Models. ECCV (17) 2022: 423-439 - [c346]Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear:
Unsupervised Segmentation in Real-World Images via Spelke Object Inference. ECCV (29) 2022: 719-735 - [c345]Yi Gu, Shunyu Yao, Chuang Gan, Josh Tenenbaum, Mo Yu:
Revisiting the Roles of "Text" in Text Games. EMNLP (Findings) 2022: 6867-6876 - [c344]Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth Narayanaswamy, Samuel Gershman, Joshua B. Tenenbaum:
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface. ICLR 2022 - [c343]Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan:
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation. ICLR 2022 - [c342]Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. ICLR 2022 - [c341]Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. ICLR 2022 - [c340]Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan:
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. ICLR 2022 - [c339]Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum:
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations. ICLR 2022 - [c338]Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R. Fiete:
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments. ICLR 2022 - [c337]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. ICLR 2022 - [c336]Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Learning Iterative Reasoning through Energy Minimization. ICML 2022: 5570-5582 - [c335]Michael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levine:
Planning with Diffusion for Flexible Behavior Synthesis. ICML 2022: 9902-9915 - [c334]Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal:
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. ICML 2022: 16480-16495 - [c333]Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan:
Prompting Decision Transformer for Few-Shot Policy Generalization. ICML 2022: 24631-24645 - [c332]Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann:
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. ICRA 2022: 6394-6400 - [c331]Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George:
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. ICRA 2022: 6674-6680 - [c330]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Incorporating Rich Social Interactions Into MDPs. ICRA 2022: 7395-7401 - [c329]Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum:
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. ICRA 2022: 8847-8854 - [c328]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
Robust Change Detection Based on Neural Descriptor Fields. IROS 2022: 2817-2824 - [c327]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. IROS 2022: 4166-4173 - [c326]Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum:
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. IROS 2022: 9259-9265 - [c325]Samuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Michael Henry Tessler, Josh Tenenbaum:
Communicating Natural Programs to Humans and Machines. NeurIPS 2022 - [c324]Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan:
Learning Physical Dynamics with Subequivariant Graph Neural Networks. NeurIPS 2022 - [c323]Yining Hong, Yilun Du, Chunru Lin, Josh Tenenbaum, Chuang Gan:
3D Concept Grounding on Neural Fields. NeurIPS 2022 - [c322]Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf:
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. NeurIPS 2022 - [c321]Yichao Liang, Josh Tenenbaum, Tuan Anh Le, N. Siddharth:
Drawing out of Distribution with Neuro-Symbolic Generative Models. NeurIPS 2022 - [c320]Andrew Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. NeurIPS 2022 - [c319]Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Pack Kaelbling:
PDSketch: Integrated Domain Programming, Learning, and Planning. NeurIPS 2022 - [c318]Yanming Wan, Jiayuan Mao, Josh Tenenbaum:
HandMeThat: Human-Robot Communication in Physical and Social Environments. NeurIPS 2022 - [c317]Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
Designing Perceptual Puzzles by Differentiating Probabilistic Programs. SIGGRAPH (Conference Paper Track) 2022: 21:1-21:9 - [p2]Rose E. Wang, Sarah A. Wu, James A. Evans, David C. Parkes, Joshua B. Tenenbaum, Max Kleiman-Weiner:
Too Many cooks: Bayesian inference for coordinating Multi-agent Collaboration. Human-Like Machine Intelligence 2022: 152-170 - [i200]Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner:
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data. CoRR abs/2201.07763 (2022) - [i199]Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George:
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. CoRR abs/2202.03697 (2022) - [i198]Jiayuan Mao, Haoyue Shi, Jiajun Wu, Roger P. Levy, Joshua B. Tenenbaum:
Grammar-Based Grounded Lexicon Learning. CoRR abs/2202.08806 (2022) - [i197]Skylar Sutherland, Bernhard Egger, Joshua B. Tenenbaum:
Building 3D Generative Models from Minimal Data. CoRR abs/2203.02554 (2022) - [i196]Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. CoRR abs/2203.09634 (2022) - [i195]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. CoRR abs/2203.13344 (2022) - [i194]Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum:
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations. CoRR abs/2203.16639 (2022) - [i193]Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan:
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. CoRR abs/2203.17275 (2022) - [i192]Andrew Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. CoRR abs/2204.00628 (2022) - [i191]Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
Designing Perceptual Puzzles by Differentiating Probabilistic Programs. CoRR abs/2204.12301 (2022) - [i190]Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. CoRR abs/2205.01089 (2022) - [i189]Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CoRR abs/2205.02834 (2022) - [i188]Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. CoRR abs/2205.02835 (2022) - [i187]Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann:
Unsupervised Discovery and Composition of Object Light Fields. CoRR abs/2205.03923 (2022) - [i186]Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Joshua B. Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan:
Identifying concept libraries from language about object structure. CoRR abs/2205.05666 (2022) - [i185]Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan:
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation. CoRR abs/2205.05678 (2022) - [i184]Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Joshua B. Tenenbaum:
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks. CoRR abs/2205.05718 (2022) - [i183]Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear:
Unsupervised Segmentation in Real-World Images via Spelke Object Inference. CoRR abs/2205.08515 (2022) - [i182]Michael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levine:
Planning with Diffusion for Flexible Behavior Synthesis. CoRR abs/2205.09991 (2022) - [i181]Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum:
Compositional Visual Generation with Composable Diffusion Models. CoRR abs/2206.01714 (2022) - [i180]Yichao Liang, Joshua B. Tenenbaum, Tuan Anh Le, N. Siddharth:
Drawing out of Distribution with Neuro-Symbolic Generative Models. CoRR abs/2206.01829 (2022) - [i179]Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRR abs/2206.10680 (2022) - [i178]Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan:
Prompting Decision Transformer for Few-Shot Policy Generalization. CoRR abs/2206.13499 (2022) - [i177]Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Learning Iterative Reasoning through Energy Minimization. CoRR abs/2206.15448 (2022) - [i176]Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba:
Finding Fallen Objects Via Asynchronous Audio-Visual Integration. CoRR abs/2207.03483 (2022) - [i175]Yining Hong, Yilun Du, Chunru Lin, Joshua B. Tenenbaum, Chuang Gan:
3D Concept Grounding on Neural Fields. CoRR abs/2207.06403 (2022) - [i174]Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann:
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR abs/2207.11232 (2022) - [i173]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
Robust Change Detection Based on Neural Descriptor Fields. CoRR abs/2208.01014 (2022) - [i172]Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok, Dan Gutfreund, Joshua B. Tenenbaum, Vikash K. Mansinghka:
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind. CoRR abs/2208.02914 (2022) - [i171]Tan Zhi-Xuan, Joshua B. Tenenbaum, Vikash K. Mansinghka:
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning. CoRR abs/2208.02938 (2022) - [i170]Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf:
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. CoRR abs/2210.01478 (2022) - [i169]Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - [i168]Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Joshua B. Tenenbaum, Chuang Gan:
Learning Physical Dynamics with Subequivariant Graph Neural Networks. CoRR abs/2210.06876 (2022) - [i167]Yi Gu, Shunyu Yao, Chuang Gan, Joshua B. Tenenbaum, Mo Yu:
Revisiting the Roles of "Text" in Text Games. CoRR abs/2210.08384 (2022) - [i166]Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch:
Composing Ensembles of Pre-trained Models via Iterative Consensus. CoRR abs/2210.11522 (2022) - [i165]Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum:
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. CoRR abs/2210.12521 (2022) - [i164]Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu:
On the Complexity of Bayesian Generalization. CoRR abs/2211.11033 (2022) - [i163]Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal:
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. CoRR abs/2211.15339 (2022) - [i162]Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal:
Is Conditional Generative Modeling all you need for Decision-Making? CoRR abs/2211.15657 (2022) - [i161]Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama:
Top-Down Synthesis for Library Learning. CoRR abs/2211.16605 (2022) - [i160]Robert D. Hawkins, Andrew M. Berdahl, Alex 'Sandy' Pentland, Joshua B. Tenenbaum, Noah D. Goodman, P. M. Krafft:
Flexible social inference facilitates targeted social learning when rewards are not observable. CoRR abs/2212.00869 (2022) - [i159]Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum:
Are Deep Neural Networks SMARTer than Second Graders? CoRR abs/2212.09993 (2022) - 2021
- [j27]Marta Kryven, Tomer D. Ullman, William Cowan, Joshua B. Tenenbaum:
Plans or Outcomes: How Do We Attribute Intelligence to Others? Cogn. Sci. 45(9) (2021) - [j26]Karl J. Friston, Rosalyn J. Moran, Yukie Nagai, Tadahiro Taniguchi, Hiroaki Gomi, Josh Tenenbaum:
World model learning and inference. Neural Networks 144: 573-590 (2021) - [j25]