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OPEn: An Open-ended Physics Environment for Learning Without a Task


Oct 13, 2021
Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola

* IROS 2021. Project page: http://open.csail.mit.edu/ 

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Discovering State and Action Abstractions for Generalized Task and Motion Planning


Sep 23, 2021
Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomas Lozano-Perez, Leslie Pack Kaelbling


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Dynamic Modeling of Hand-Object Interactions via Tactile Sensing


Sep 09, 2021
Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba

* IROS 2021. First two authors contributed equally. Project page: http://phystouch.csail.mit.edu/ 

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Growing knowledge culturally across generations to solve novel, complex tasks


Jul 28, 2021
Michael Henry Tessler, Pedro A. Tsividis, Jason Madeano, Brin Harper, Joshua B. Tenenbaum

* Poster presentation at the 43rd Annual Meeting of the Cognitive Science Society 

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Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning


Jul 27, 2021
Pedro A. Tsividis, Joao Loula, Jake Burga, Nathan Foss, Andres Campero, Thomas Pouncy, Samuel J. Gershman, Joshua B. Tenenbaum


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Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning


Jul 06, 2021
Maxwell Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake


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Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface


Jul 04, 2021
Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth N, Samuel J. Gershman, Joshua B. Tenenbaum


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Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind


Jun 24, 2021
Arwa Alanqary, Gloria Z. Lin, Joie Le, Tan Zhi-Xuan, Vikash K. Mansinghka, Joshua B. Tenenbaum

* Accepted to CogSci 2021. 6 pages, 5 figures. (Appendix: 1 page, 1 figure) 

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Leveraging Language to Learn Program Abstractions and Search Heuristics


Jun 18, 2021
Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas

* appeared in Thirty-eighth International Conference on Machine Learning (ICML 2021) 

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Physion: Evaluating Physical Prediction from Vision in Humans and Machines


Jun 17, 2021
Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiau-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan

* 27 pages 

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Communicating Natural Programs to Humans and Machines


Jun 15, 2021
Samuel Acquaviva, Yewen Pu, Marta Kryven, Catherine Wong, Gabrielle E Ecanow, Maxwell Nye, Theodoros Sechopoulos, Michael Henry Tessler, Joshua B. Tenenbaum

* equal contributions: (author 3, 4), (author 5,6,7) 

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Temporal and Object Quantification Networks


Jun 10, 2021
Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman

* IJCAI 2021. First two authors contributed equally. Project page: http://toqnet.csail.mit.edu/ 

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Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering


Jun 04, 2021
Vincent Sitzmann, Semon Rezchikov, William T. Freeman, Joshua B. Tenenbaum, Fredo Durand

* First two authors contributed equally. Project website: https://vsitzmann.github.io/lfns/ 

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Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning


May 28, 2021
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomas Lozano-Perez, Leslie Pack Kaelbling


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PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics


Apr 07, 2021
Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan

* Accepted to ICLR 2021 as a spotlight presentation. Project page: http://plasticinelab.csail.mit.edu/ 

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Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning


Mar 30, 2021
Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan

* ICLR 2021. Project page: http://dcl.csail.mit.edu/ 

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The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI


Mar 25, 2021
Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J DiCarlo, Josh McDermott, Antonio Torralba, Joshua B. Tenenbaum

* Project page: http://tdw-transport.csail.mit.edu/ 

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PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception


Mar 19, 2021
Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum

* The first two authors contributed equally; AAAI 2021; 13 pages, 7 figures; Project page: https://www.tshu.io/PHASE 

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Learning Task Decomposition with Ordered Memory Policy Network


Mar 19, 2021
Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron Courville, Joshua B. Tenenbaum, Chuang Gan


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AGENT: A Benchmark for Core Psychological Reasoning


Feb 25, 2021
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth Spelke, Joshua B. Tenenbaum, Tomer D. Ullman

* 12 pages, 7 figures 

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Augmenting Policy Learning with Routines Discovered from a Demonstration


Dec 24, 2020
Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum

* To appear in AAAI-21. Code is available at https://github.com/sjtuytc/-AAAI21-RoutineAugmentedPolicyLearning-RAPL

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Representing Partial Programs with Blended Abstract Semantics


Dec 23, 2020
Maxwell Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama


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Object-Centric Diagnosis of Visual Reasoning


Dec 21, 2020
Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David D. Cox, Joshua B. Tenenbaum, Chuang Gan


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Neural Radiance Flow for 4D View Synthesis and Video Processing


Dec 17, 2020
Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu

* Website: https://yilundu.github.io/nerflow/ 

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Multi-Plane Program Induction with 3D Box Priors


Nov 22, 2020
Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Noah Snavely, Jiajun Wu

* NeurIPS 2020. First two authors contributed equally. Project page: http://bpi.csail.mit.edu 

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Towards Human-Level Learning of Complex Physical Puzzles


Nov 14, 2020
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum

* 10 pages, 7 figures 

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Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration


Oct 19, 2020
Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba


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Learning abstract structure for drawing by efficient motor program induction


Aug 08, 2020
Lucas Y. Tian, Kevin Ellis, Marta Kryven, Joshua B. Tenenbaum


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