Joshua B. Tenenbaum
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
256
Venues
21
Active years
1997–2025
Best venue rank
A*
Where they publish
- BCogSci76 papers
- A*ICLR48 papers
- A*ICML26 papers
- A*CVPR18 papers
- A*AAAI16 papers
- A*ICRA15 papers
- AIROS11 papers
- A*ECCV8 papers
- UnrankedCoRL7 papers
- AUAI7 papers
- A*ICCV5 papers
- A*IJCAI5 papers
- A*EMNLP3 papers
- A*ACL2 papers
- A*SIGGRAPH2 papers
- A*PLDI2 papers
- A*SiggraphA1 paper
- CAIES1 paper
- ABMVC1 paper
- AECAI1 paper
- BILP1 paper
Papers
256 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CogSci | Studying Mathematical Reasoning through the Gadget Game. | Jonas Bayer, Jacob Loader, Katherine M. Collins, Simon Frieder, Adrian Weller, Joshua B. Tenenbaum, Timothy Gowers |
| 2025 | CogSci | Surprise isn't symmetrical: Adults' looking suggests non-perceptual considerations during dishabituation. | Qiong Cao, Anjie Cao, Gal Raz, Joshua B. Tenenbaum, Shari Liu |
| 2025 | CogSci | A Computational Model of Human Vocal Imitation. | Matthew Caren, Kartik Chandra, Joshua B. Tenenbaum, Jonathan Ragan-Kelley, Karima Ma |
| 2025 | CogSci | Theories of Mind as Languages of Thought for Thought about Thought. | Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum |
| 2025 | CogSci | Decompose, Deduce, and Dispose: A Memory-Limited Metacognitive Model of Human Problem Solving. | Samuel J. Cheyette, Tony Chen, Matthias Hofer, Frederick Callaway, Neil R. Bramley, Joshua B. Tenenbaum |
| 2025 | CogSci | Language and Experience: A Computational Model of Social Learning in Complex Novel Tasks. | Cdric Colas, Tracey Mills, Ben Prystawski, Michael Henry Tessler, Noah D. Goodman, Jacob Andreas, Joshua B. Tenenbaum |
| 2025 | CogSci | Empathy in Explanation. | Katherine M. Collins, Kartik Chandra, Jonathan Ragan-Kelley, Adrian Weller, Joshua B. Tenenbaum |
| 2025 | CogSci | Generation and Evaluation in the Human Invention Process through the Lens of Game Design. | Katherine M. Collins, Graham Todd, Cedegao E. Zhang, Adrian Weller, Julian Togelius, Junyi Chu, Lionel Wong, Tom Griffiths, Joshua B. Tenenbaum |
| 2025 | CogSci | Seeing through Occlusion: Uncertainty-aware Joint Physical Tracking and Prediction. | Arijit Dasgupta, Andrew D. Bolton, Vikash Mansinghka, Joshua B. Tenenbaum, Kevin A. Smith |
| 2025 | CogSci | Goal Inference using Reward-Producing Programs in a Novel Physics Environment. | Guy Davidson, Graham Todd, Cdric Colas, Junyi Chu, Julian Togelius, Joshua B. Tenenbaum, Todd M. Gureckis, Brenden M. Lake |
| 2025 | CogSci | Tracking Uncertainty During Uncertain Tracking. | Yoni Friedman, Matin Ghavami, Maddy Bowers, Andrew D. Bolton, Max H. Siegel, Vikash Mansinghka, Joshua B. Tenenbaum |
| 2025 | CogSci | Finding structure in logographic writing with library learning II: Grapheme, sound, and meaning systematicity. | Guangyuan Jiang, Matthias Hofer, Jiayuan Mao, Lionel Wong, Joshua B. Tenenbaum, Roger Levy |
| 2025 | CogSci | Calculating probabilities from imagined possibilities: Limitations in 4-year-olds. | Brian Leahy, Vicente Vivanco, Samuel J. Cheyette, Kevin A. Smith, Lucy J. White, Roman Feiman, Laura Schulz, Joshua B. Tenenbaum |
| 2025 | CogSci | Flexible Physical Problem Solving with Strategy Acquisition and Composition. | Jung-Chun Liu, Jiayuan Mao, Joyce Chai, Joshua B. Tenenbaum |
| 2025 | CogSci | Minding the Politeness Gap in Cross-cultural Communication. | Yuka Machino, Max H. Siegel, Matthias Hofer, Joshua B. Tenenbaum, Robert D. Hawkins |
| 2025 | CogSci | Strategy selection in complex tasks through adaptive integration of learned and online metareasoning. | Tracey Mills, Samuel Gershman, Joshua B. Tenenbaum |
| 2025 | CogSci | Reverse-Engineering an Intuitive Psychology of Power. | Junior Chinomso Okoroafor, Rebecca Saxe, Joshua B. Tenenbaum, Max Kleiman-Weiner |
| 2025 | CogSci | The trade-off between rule-based thinking and mutual benefit in tacit coordination. | Arthur Le Pargneux, Sydney Levine, Joshua B. Tenenbaum, Fiery Cushman |
| 2025 | CogSci | Ensemble Physics: Perceiving the Mass of Groups of Objects is More Than the Sum of Its Parts. | Vicente Vivanco, Joshua B. Tenenbaum, Vivian C. Paulun, Kevin A. Smith |
| 2025 | CogSci | From pixels to physics: an image-computable model of physical predictions. | Haoliang Wang, Nishad Gothoskar, Joshua B. Tenenbaum, Kevin A. Smith |
| 2025 | CogSci | Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models. | Lionel Wong, Katherine M. Collins, Lance Ying, Cedegao E. Zhang, Adrian Weller, Tobias Gerstenberg, Timothy O'Donnell, Alexander K. Lew, Jacob Andreas, Tyler Brooke-Wilson, Joshua B. Tenenbaum |
| 2025 | CogSci | Scaling up the think-aloud method. | Daniel Wurgaft, Ben Prystawski, Kanishk Gandhi, Cedegao E. Zhang, Joshua B. Tenenbaum, Noah D. Goodman |
| 2025 | CogSci | Belief Attribution as Mental Explanation: The Role of Accuracy, Informativity, and Causality. | Lance Ying, Almog Hilel, Ryan Truong, Vikash Mansinghka, Joshua B. Tenenbaum, Tan Zhi-Xuan |
| 2025 | CogSci | Adaptive Social Learning using Theory of Mind. | Lance Ying, Ryan Truong, Joshua B. Tenenbaum, Samuel Gershman |
| 2025 | CogSci | What's in the Box? Reasoning about Unseen Objects from Multimodal Cues. | Lance Ying, Daniel Xu, Alicia Zhang, Katherine M. Collins, Max H. Siegel, Joshua B. Tenenbaum |
| 2025 | EMNLP | On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts. | Linlu Qiu, Cedegao E. Zhang, Joshua B. Tenenbaum, Yoon Kim, Roger P. Levy |
| 2025 | EMNLP | Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-the-fly. | Lance Ying, Ryan Truong, Katherine M. Collins, Cedegao E. Zhang, Megan Wei, Tyler Brooke-Wilson, Tan Zhi-Xuan, Lionel Wong, Joshua B. Tenenbaum |
| 2025 | ICLR | What Makes a Maze Look Like a Maze? | Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Noah D. Goodman, Jiajun Wu |
| 2025 | ICLR | VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. | Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, Joo F. Henriques, Kevin Ellis |
| 2025 | ICLR | Can Large Language Models Understand Symbolic Graphics Programs? | Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schlkopf |
| 2025 | ICLR | Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. | Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch |
| 2025 | ICLR | Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations. | Yudi Xie, Weichen Huang, Esther Alter, Jeremy Schwartz, Joshua B. Tenenbaum, James J. DiCarlo |
| 2025 | ICML | Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models. | Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz |
| 2025 | ICRA | KALM: Keypoint Abstraction Using Large Models for Object-Relative Imitation Learning. | Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao, Jasmine Shone, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2025 | ICRA | One-Shot Manipulation Strategy Learning by Making Contact Analogies. | Yuyao Liu, Jiayuan Mao, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2024 | AAAI | Neural Amortized Inference for Nested Multi-Agent Reasoning. | Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu |
| 2024 | AAAI | Generalized Planning in PDDL Domains with Pretrained Large Language Models. | Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz |
| 2024 | ACL | MMToM-QA: Multimodal Theory of Mind Question Answering. | Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu |
| 2024 | ICLR | Video Language Planning. | Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson |
| 2024 | ICLR | LILO: Learning Interpretable Libraries by Compressing and Documenting Code. | Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas |
| 2024 | ICLR | Learning to Act from Actionless Videos through Dense Correspondences. | Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum |
| 2024 | ICLR | Learning to Jointly Understand Visual and Tactile Signals. | Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik |
| 2024 | ICLR | Learning Grounded Action Abstractions from Language. | Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas |
| 2024 | ICLR | Probabilistic Adaptation of Black-Box Text-to-Video Models. | Sherry Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel |
| 2024 | ICLR | Building Cooperative Embodied Agents Modularly with Large Language Models. | Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan |
| 2024 | ICLR | HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments. | Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan |
| 2024 | ICML | Improving Factuality and Reasoning in Language Models through Multiagent Debate. | Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch |
| 2024 | ICML | Learning Iterative Reasoning through Energy Diffusion. | Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum |
| 2024 | ICML | Potential Based Diffusion Motion Planning. | Yunhao Luo, Chen Sun, Joshua B. Tenenbaum, Yilun Du |
| 2024 | ICML | LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. | Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik |
| 2024 | ICML | Compositional Image Decomposition with Diffusion Models. | Jocelin Su, Nan Liu, Yanbo Wang, Joshua B. Tenenbaum, Yilun Du |
| 2024 | ICML | ContPhy: Continuum Physical Concept Learning and Reasoning from Videos. | Zhicheng Zheng, Xin Yan, Zhenfang Chen, Jingzhou Wang, Qin Zhi Eddie Lim, Joshua B. Tenenbaum, Chuang Gan |
| 2024 | ICRA | ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. | Qiao Gu, Ali Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull |
| 2024 | ICRA | Tactile Estimation of Extrinsic Contact Patch for Stable Placement. | Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum |
| 2024 | IROS | PickScan: Object discovery and reconstruction from handheld interactions. | Vincent van der Brugge, Marc Pollefeys, Joshua B. Tenenbaum, Krishna Murthy Jatavallabhula, Ayush Tewari |
| 2024 | IROS | GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. | Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu |
| 2024 | SiggraphA | Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation. | Matthew Caren, Kartik Chandra, Joshua B. Tenenbaum, Jonathan Ragan-Kelley, Karima Ma |
| 2023 | AAAI | Learning Rational Subgoals from Demonstrations and Instructions. | Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Toms Lozano-Prez, Joshua B. Tenenbaum, Leslie Pack Kaelbling |
| 2023 | AAAI | Predicate Invention for Bilevel Planning. | Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Toms Lozano-Prez, Leslie Pack Kaelbling, Joshua B. Tenenbaum |
| 2023 | AAAI | Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. | Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu |
| 2023 | CoRL | Learning Reusable Manipulation Strategies. | Jiayuan Mao, Toms Lozano-Prez, Joshua B. Tenenbaum, Leslie Pack Kaelbling |
| 2023 | CoRL | Compositional Diffusion-Based Continuous Constraint Solvers. | Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2023 | CVPR | Are Deep Neural Networks SMARTer Than Second Graders? | Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum |
| 2023 | CVPR | Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. | Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan |
| 2023 | CVPR | 3D Concept Learning and Reasoning from Multi-View Images. | Yining Hong, Chunru Lin, Yilun Du, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan |
| 2023 | CVPR | 3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. | Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung |
| 2023 | EMNLP | LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers. | Theo Olausson, Alex Gu, Benjamin Lipkin, Cedegao E. Zhang, Armando Solar-Lezama, Joshua B. Tenenbaum, Roger Levy |
| 2023 | ICCV | Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. | Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba |
| 2023 | ICCV | 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation. | Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lzaro-Gredilla, Dileep George, Vikash K. Mansinghka |
| 2023 | ICLR | Is Conditional Generative Modeling all you need for Decision Making? | Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal |
| 2023 | ICLR | Planning with Sequence Models through Iterative Energy Minimization. | Hongyi Chen, Yilun Du, Yiye Chen, Joshua B. Tenenbaum, Patricio A. Vela |
| 2023 | ICLR | Composing Ensembles of Pre-trained Models via Iterative Consensus. | Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch |
| 2023 | ICLR | DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. | Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan |
| 2023 | ICLR | Neural Groundplans: Persistent Neural Scene Representations from a Single Image. | Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frdo Durand, Joshua B. Tenenbaum, Vincent Sitzmann |
| 2023 | ICLR | SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. | Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan |
| 2023 | ICLR | Planning with Large Language Models for Code Generation. | Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan |
| 2023 | ICML | Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics. | Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik |
| 2023 | ICML | Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. | Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl |
| 2023 | ICML | Inferring Relational Potentials in Interacting Systems. | Armand Comas Massague, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia I. Camps |
| 2023 | ICML | On the Complexity of Bayesian Generalization. | Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu |
| 2023 | ICRA | H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. | Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum |
| 2023 | ICRA | NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. | Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba |
| 2023 | SIGGRAPH | Acting as Inverse Inverse Planning. | Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley |
| 2022 | AAAI | Discovering State and Action Abstractions for Generalized Task and Motion Planning. | Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2022 | AAAI | MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. | Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks |
| 2022 | CoRL | Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following. | Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan |
| 2022 | CoRL | Learning Neuro-Symbolic Skills for Bilevel Planning. | Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2022 | CVPR | Finding Fallen Objects Via Asynchronous Audio-Visual Integration. | Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba |
| 2022 | CVPR | Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. | Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan |
| 2022 | ECCV | Unsupervised Segmentation in Real-World Images via Spelke Object Inference. | Honglin Chen, Rahul Mysore Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear |
| 2022 | ECCV | Compositional Visual Generation with Composable Diffusion Models. | Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum |
| 2022 | ICLR | Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface. | Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth Narayanaswamy, Samuel Gershman, Joshua B. Tenenbaum |
| 2022 | ICLR | RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation. | Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan |
| 2022 | ICLR | ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. | Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan |
| 2022 | ICLR | Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. | Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan |
| 2022 | ICLR | DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. | Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan |
| 2022 | ICLR | FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations. | Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum |
| 2022 | ICLR | Map Induction: Compositional spatial submap learning for efficient exploration in novel environments. | Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R. Fiete |
| 2022 | ICLR | Linking Emergent and Natural Languages via Corpus Transfer. | Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan |
| 2022 | ICML | Learning Iterative Reasoning through Energy Minimization. | Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch |
| 2022 | ICML | Planning with Diffusion for Flexible Behavior Synthesis. | Michael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levine |
| 2022 | ICML | Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. | Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal |
| 2022 | ICML | Prompting Decision Transformer for Few-Shot Policy Generalization. | Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan |
| 2022 | ICRA | The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. | 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 |
| 2022 | ICRA | DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. | Nishad Gothoskar, Miguel Lzaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George |
| 2022 | IROS | Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. | Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2022 | IROS | Robust Change Detection Based on Neural Descriptor Fields. | Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard |
| 2022 | IROS | Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. | Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum |
| 2022 | ICRA | Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. | Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann |
| 2022 | ICRA | Incorporating Rich Social Interactions Into MDPs. | Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu |
| 2022 | SIGGRAPH | Designing Perceptual Puzzles by Differentiating Probabilistic Programs. | Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley |
| 2021 | AAAI | GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. | Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2021 | AAAI | PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. | Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum |
| 2021 | AAAI | Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. | Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2021 | AAAI | Augmenting Policy Learning with Routines Discovered from a Single Demonstration. | Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum |
| 2021 | CoRL | Single-Shot Scene Reconstruction. | Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frdo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon |
| 2021 | ICCV | Neural Radiance Flow for 4D View Synthesis and Video Processing. | Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu |
| 2021 | ICLR | Learning with AMIGo: Adversarially Motivated Intrinsic Goals. | Andres Campero, Roberta Raileanu, Heinrich Kttler, Joshua B. Tenenbaum, Tim Rocktschel, Edward Grefenstette |
| 2021 | ICLR | Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning. | Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan |
| 2021 | ICLR | Unsupervised Discovery of 3D Physical Objects from Video. | Yilun Du, Kevin A. Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu |
| 2021 | ICLR | PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. | Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan |
| 2021 | ICLR | Learning Task Decomposition with Ordered Memory Policy Network. | Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan |
| 2021 | ICLR | Representing Partial Programs with Blended Abstract Semantics. | Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama |
| 2021 | ICLR | Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. | Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba |
| 2021 | ICML | A large-scale benchmark for few-shot program induction and synthesis. | Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Toms Lozano-Prez, Leslie Pack Kaelbling, Joshua B. Tenenbaum |
| 2021 | ICML | Improved Contrastive Divergence Training of Energy-Based Models. | Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch |
| 2021 | ICML | AGENT: A Benchmark for Core Psychological Reasoning. | Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman |
| 2021 | ICML | Leveraging Language to Learn Program Abstractions and Search Heuristics. | Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas |
| 2021 | IJCAI | Temporal and Object Quantification Networks. | Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman |
| 2021 | IROS | OPEn: An Open-ended Physics Environment for Learning Without a Task. | Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola |
| 2021 | IROS | Learning Symbolic Operators for Task and Motion Planning. | Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2021 | IROS | Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. | Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba |
| 2021 | PLDI | DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. | Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sabl-Meyer, Lucas Morales, Luke B. Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum |
| 2020 | CoRL | A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects. | Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Robert Hogan, Joshua B. Tenenbaum, Pulkit Agrawal, Alberto Rodriguez |
| 2020 | CVPR | Music Gesture for Visual Sound Separation. | Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba |
| 2020 | CVPR | Perspective Plane Program Induction From a Single Image. | Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2020 | CVPR | End-to-End Optimization of Scene Layout. | Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum |
| 2020 | CVPR | A Morphable Face Albedo Model. | William A. P. Smith, Alassane Seck, Hannah M. Dee, Bernard Tiddeman, Joshua B. Tenenbaum, Bernhard Egger |
| 2020 | CVPR | Probabilistic Video Prediction From Noisy Data With a Posterior Confidence. | Yunbo Wang, Jiajun Wu, Mingsheng Long, Joshua B. Tenenbaum |
| 2020 | ECCV | Foley Music: Learning to Generate Music from Videos. | Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba |
| 2020 | ECCV | Rethinking Few-Shot Image Classification: A Good Embedding is All You Need? | Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola |
| 2020 | ICLR | CLEVRER: Collision Events for Video Representation and Reasoning. | Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum |
| 2020 | ICLR | Deep Audio Priors Emerge From Harmonic Convolutional Networks. | Zhoutong Zhang, Yunyun Wang, Chuang Gan, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman |
| 2020 | ICML | Visual Grounding of Learned Physical Models. | Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba |
| 2020 | IJCAI | DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. | Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum |
| 2020 | ICRA | Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. | Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum |
| 2020 | ICRA | Accurate Vision-based Manipulation through Contact Reasoning. | Alina Kloss, Maria Bauz, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg |
| 2020 | UAI | Learning to learn generative programs with Memoised Wake-Sleep. | Luke B. Hewitt, Tuan Anh Le, Joshua B. Tenenbaum |
| 2019 | AAAI | Theory of Minds: Understanding Behavior in Groups through Inverse Planning. | Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum |
| 2019 | CoRL | Entity Abstraction in Visual Model-Based Reinforcement Learning. | Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine |
| 2019 | ICCV | Program-Guided Image Manipulators. | Xiuming Zhang, Jiayuan Mao, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICLR | GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. | David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba |
| 2019 | ICLR | Visualizing and Understanding GANs. | David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba |
| 2019 | ICLR | Reasoning About Physical Interactions with Object-Oriented Prediction and Planning. | Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu |
| 2019 | ICLR | Learning to Describe Scenes with Programs. | Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICLR | Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. | Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba |
| 2019 | ICLR | The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. | Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICLR | Stochastic Prediction of Multi-Agent Interactions from Partial Observations. | Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy |
| 2019 | ICLR | Learning to Infer and Execute 3D Shape Programs. | Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICLR | Unsupervised Discovery of Parts, Structure, and Dynamics. | Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICML | Infinite Mixture Prototypes for Few-shot Learning. | Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum |
| 2019 | ICML | Neurally-Guided Structure Inference. | Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | ICML | Learning to Infer Program Sketches. | Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama |
| 2019 | IJCAI | Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. | Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum |
| 2019 | ICRA | Combining Physical Simulators and Object-Based Networks for Control. | Anurag Ajay, Maria Bauz, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling |
| 2019 | ICRA | ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics. | Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik |
| 2019 | ICRA | Propagation Networks for Model-Based Control Under Partial Observation. | Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake |
| 2018 | AIES | A Computational Model of Commonsense Moral Decision Making. | Richard Kim, Max Kleiman-Weiner, Andrs Abeliuk, Edmond Awad, Sohan Dsouza, Joshua B. Tenenbaum, Iyad Rahwan |
| 2018 | CVPR | Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. | Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman |
| 2018 | CVPR | Inverting Audio-Visual Simulation for Shape and Material Perception. | Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, Joshua B. Tenenbaum, William T. Freeman |
| 2018 | ECCV | Physical Primitive Decomposition. | Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2018 | ECCV | Learning Shape Priors for Single-View 3D Completion And Reconstruction. | Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum |
| 2018 | ECCV | Seeing Tree Structure from Vibration. | Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman |
| 2018 | ICLR | Meta-Learning for Semi-Supervised Few-Shot Classification. | Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel |
| 2018 | IROS | Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. | Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauz, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez |
| 2018 | IROS | 3D Shape Perception from Monocular Vision, Touch, and Shape Priors. | Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, Edward H. Adelson |
| 2018 | PLDI | The three pillars of machine programming. | Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin C. Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson |
| 2018 | UAI | The Variational Homoencoder: Learning to learn high capacity generative models from few examples. | Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum |
| 2018 | UAI | Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks. | David Zheng, Vinson Luo, Jiajun Wu, Joshua B. Tenenbaum |
| 2017 | CogSci | Learning to Learn Visual Object Categories by Integrating Deep Learning with Hierarchical Bayes. | Andres Campero, Andrew Francl, Joshua B. Tenenbaum |
| 2017 | CogSci | Faulty Towers: A hypothetical simulation model of physical support. | Tobias Gerstenberg, Liang Zhou, Kevin A. Smith, Joshua B. Tenenbaum |
| 2017 | CogSci | Interpreting actions by attributing compositional desires. | Joey Velez-Ginorio, Max H. Siegel, Joshua B. Tenenbaum, Julian Jara-Ettinger |
| 2017 | CVPR | Neural Scene De-rendering. | Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli |
| 2017 | CVPR | Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks. | Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D. Kulkarni, Joshua B. Tenenbaum |
| 2017 | ICCV | Generative Modeling of Audible Shapes for Object Perception. | Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, James Traer, Josh H. McDermott, Joshua B. Tenenbaum, William T. Freeman |
| 2017 | ICLR | A Compositional Object-Based Approach to Learning Physical Dynamics. | Michael Chang, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum |
| 2016 | AAAI | Modeling Human Ad Hoc Coordination. | Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum |
| 2016 | AAAI | Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model. | Ryo Nakahashi, Chris L. Baker, Joshua B. Tenenbaum |
| 2016 | BMVC | Physics 101: Learning Physical Object Properties from Unlabeled Videos. | Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, William T. Freeman |
| 2016 | CogSci | Natural science: Active learning in dynamic physical microworlds. | Neil Bramley, Tobias Gerstenberg, Joshua B. Tenenbaum |
| 2016 | CogSci | A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. | Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum |
| 2016 | ECCV | Single Image 3D Interpreter Network. | Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman |
| 2016 | IROS | Inferring human intent from video by sampling hierarchical plans. | Steven Holtzen, Yibiao Zhao, Tao Gao, Joshua B. Tenenbaum, Song-Chun Zhu |
| 2015 | CogSci | Go fishing! Responsibility judgments when cooperation breaks down. | Kelsey R. Allen, Julian Jara-Ettinger, Tobias Gerstenberg, Max Kleiman-Weiner, Joshua B. Tenenbaum |
| 2015 | CogSci | Humans predict liquid dynamics using probabilistic simulation. | Christopher Bates, Peter W. Battaglia, Ilker Yildirim, Joshua B. Tenenbaum |
| 2015 | CogSci | Phrase similarity in humans and machines. | Samuel Gershman, Joshua B. Tenenbaum |
| 2015 | CogSci | How, whether, why: Causal judgments as counterfactual contrasts. | Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum |
| 2015 | CogSci | Responsibility judgments in voting scenarios. | Tobias Gerstenberg, Joseph Y. Halpern, Joshua B. Tenenbaum |
| 2015 | CogSci | Language & common sense: Integrating across psychology, linguistics, and computer science. | Joshua K. Hartshorne, Joshua B. Tenenbaum |
| 2015 | CogSci | Beliefs about desires: Children's understanding of how knowledge and preference influence choice. | Julian Jara-Ettinger, Emily Lydic, Joshua B. Tenenbaum, Laura Schulz |
| 2015 | CogSci | The nave utility calculus: Joint inferences about the costs and rewards of actions. | Julian Jara-Ettinger, Laura Schulz, Joshua B. Tenenbaum |
| 2015 | CogSci | Inference of Intention and Permissibility in Moral Decision Making. | Max Kleiman-Weiner, Tobias Gerstenberg, Sydney Levine, Joshua B. Tenenbaum |
| 2015 | CogSci | Emergent Collective Sensing in Human Groups. | Peter M. Krafft, Robert X. D. Hawkins, Alex Pentland, Noah D. Goodman, Joshua B. Tenenbaum |
| 2015 | CogSci | Representing and Learning a Large System of Number Concepts with Latent Predicate Networks. | Joshua S. Rule, Eyal Dechter, Joshua B. Tenenbaum |
| 2015 | CogSci | Assessing the Perceived Predictability of Functions. | Eric Schulz, Joshua B. Tenenbaum, David N. Reshef, Maarten Speekenbrink, Samuel Gershman |
| 2015 | CogSci | Hypothesis-Space Constraints in Causal Learning. | Pedro Tsividis, Joshua B. Tenenbaum, Laura Schulz |
| 2015 | CogSci | Efficient analysis-by-synthesis in vision: A computational framework, behavioral tests, and modeling neuronal representations. | Ilker Yildirim, Tejas D. Kulkarni, Winrich Freiwald, Joshua B. Tenenbaum |
| 2015 | CVPR | Picture: A probabilistic programming language for scene perception. | Tejas D. Kulkarni, Pushmeet Kohli, Joshua B. Tenenbaum, Vikash Mansinghka |
| 2015 | ICML | Risk and Regret of Hierarchical Bayesian Learners. | Jonathan H. Huggins, Joshua B. Tenenbaum |
| 2014 | AAAI | Automatic Construction and Natural-Language Description of Nonparametric Regression Models. | James Robert Lloyd, David Duvenaud, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani |
| 2014 | CogSci | From counterfactual simulation to causal judgment. | Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum |
| 2014 | CogSci | Wins above replacement: Responsibility attributions as counterfactual replacements. | Tobias Gerstenberg, Tomer D. Ullman, Max Kleiman-Weiner, David A. Lagnado, Joshua B. Tenenbaum |
| 2014 | CogSci | Probability, programs, and the mind: Building structured Bayesian models of cognition. | Noah D. Goodman, Joshua B. Tenenbaum |
| 2014 | CogSci | I'd do anything for a cookie (but I won't do that): Children's understanding of the costs and rewards underlying rational action. | Julian Jara-Ettinger, Hyowon Gweon, Joshua B. Tenenbaum, Laura Schulz |
| 2014 | CogSci | One-shot learning of generative speech concepts. | Brenden M. Lake, Chia-ying Lee, James R. Glass, Joshua B. Tenenbaum |
| 2014 | CogSci | Error-Driven Stochastic Search for Theories and Concepts. | Owen Lewis, Santiago Perez, Joshua B. Tenenbaum |
| 2014 | CogSci | Black boxes: Hypothesis testing via indirect perceptual evidence. | Max H. Siegel, Rachel Magid, Joshua B. Tenenbaum, Laura Schulz |
| 2014 | CogSci | Information Selection in Noisy Environments with Large Action Spaces. | Pedro Tsividis, Samuel Gershman, Joshua B. Tenenbaum, Laura Schulz |
| 2014 | CogSci | Learning physical theories from dynamical scenes. | Tomer D. Ullman, Andreas Stuhlmller, Noah D. Goodman, Joshua B. Tenenbaum |
| 2014 | CogSci | Joint inferences of belief and desire from facial expressions. | Yang Wu, Chris L. Baker, Joshua B. Tenenbaum, Laura Schulz |
| 2014 | ECAI | Bias reformulation for one-shot function induction. | Dianhuan Lin, Eyal Dechter, Kevin Ellis, Joshua B. Tenenbaum, Stephen H. Muggleton |
| 2013 | CogSci | Bayesian vector analysis and the perception of hierarchical motion. | Samuel Gershman, Frank Jkel, Joshua B. Tenenbaum |
| 2013 | CogSci | Structured cognitive representations and complex inference in neural systems. | Samuel Gershman, Joshua B. Tenenbaum, Alexandre Pouget, Matthew M. Botvinick, Peter Dayan |
| 2013 | CogSci | Inferring mass in complex physical scenes via probabilistic simulation. | Jessica B. Hamrick, Peter W. Battaglia, Thomas L. Griffiths, Joshua B. Tenenbaum |
| 2013 | CogSci | Not so innocent: Reasoning about costs, competence, and culpability in very early childhood. | Julian Jara-Ettinger, Joshua B. Tenenbaum, Laura Schulz |
| 2013 | CogSci | Physical predictions over time. | Kevin A. Smith, Eyal Dechter, Joshua B. Tenenbaum, Edward Vul |
| 2013 | CogSci | Minimal Nativism: How does cognitive development get off the ground? | Tomer D. Ullman, Joshua B. Tenenbaum, Noah D. Goodman, Shimon Ullman, Elizabeth S. Spelke |
| 2013 | ICML | Structure Discovery in Nonparametric Regression through Compositional Kernel Search. | David Duvenaud, James Robert Lloyd, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani |
| 2013 | IJCAI | Bootstrap Learning via Modular Concept Discovery. | Eyal Dechter, Jonathan Malmaud, Ryan P. Adams, Joshua B. Tenenbaum |
| 2012 | CogSci | Computational Models of Intuitive Physics. | Peter W. Battaglia, Tomer D. Ullman, Joshua B. Tenenbaum, Adam Sanborn, Kenneth D. Forbus, Tobias Gerstenberg, David A. Lagnado |
| 2012 | CogSci | Noisy Newtons: Unifying process and dependency accounts of causal attribution. | Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum |
| 2012 | CogSci | Probability, programs, and the mind: Building structured Bayesian models of cognition. | Noah D. Goodman, Joshua B. Tenenbaum |
| 2012 | CogSci | Children's sensitivity to informant's inductive efficiency and learner's epistemic states in pedagogical contexts. | Hyowon Gweon, Patrick Shafto, Joshua B. Tenenbaum, Laura Schulz |
| 2012 | CogSci | Learning What is Where from Social Observations. | Julian Jara-Ettinger, Chris L. Baker, Joshua B. Tenenbaum |
| 2012 | CogSci | Concept learning as motor program induction: A large-scale empirical study. | Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum |
| 2012 | CogSci | Computational, Cognitive, and Neural Models of Decision-making Biases. | Jonathan Malmaud, Joshua B. Tenenbaum, Peter Dayan, Laurence T. Maloney, Edward Vul, Nick Chater |
| 2012 | CogSci | Probabilistic generative models for counterfactual reasoning and blame attribution. | John McCoy, Tomer D. Ullman, Andreas Stuhlmller, Tobias Gerstenberg, Joshua B. Tenenbaum |
| 2012 | CogSci | Exploring the Role of Representation in Models of Grammatical Category Acquisition. | Ting Qian, Patricia Reeder, Richard N. Aslin, Joshua B. Tenenbaum, Elissa L. Newport |
| 2012 | CogSci | The Development of Joint Belief-Desire Inferences. | Hilary Richardson, Chris L. Baker, Joshua B. Tenenbaum, Rebecca Saxe |
| 2012 | CogSci | Modeling the Perception of Intentions. | Barbara Tversky, Shimon Ullman, Dare A. Baldwin, Frank E. Pollick, Joshua B. Tenenbaum, Tao Gao, Peter C. Pantelis, David Pautler |
| 2012 | UAI | Exploiting compositionality to explore a large space of model structures. | Roger B. Grosse, Ruslan Salakhutdinov, William T. Freeman, Joshua B. Tenenbaum |
| 2011 | CogSci | Bayesian Theory of Mind: Modeling Joint Belief-Desire Attribution. | Chris L. Baker, Rebecca Saxe, Joshua B. Tenenbaum |
| 2011 | CogSci | Probabilistic internal physics models guide judgments about object dynamics. | Jessica B. Hamrick, Peter W. Battaglia, Joshua B. Tenenbaum |
| 2011 | CogSci | One shot learning of simple visual concepts. | Brenden M. Lake, Ruslan Salakhutdinov, Jason Gross, Joshua B. Tenenbaum |
| 2011 | CogSci | Productivity and Reuse in Language. | Timothy J. O'Donnell, Jesse Snedeker, Joshua B. Tenenbaum, Noah D. Goodman |
| 2011 | CogSci | Productivity and Reuse in Language: a Developmental Study. | Timothy J. O'Donnell, Jesse Snedeker, Joshua B. Tenenbaum, Noah D. Goodman |
| 2011 | CVPR | Learning to share visual appearance for multiclass object detection. | Ruslan Salakhutdinov, Antonio Torralba, Joshua B. Tenenbaum |
| 2011 | ICML | Infinite Dynamic Bayesian Networks. | Finale Doshi, David Wingate, Joshua B. Tenenbaum, Nicholas Roy |
| 2011 | IJCAI | Bayesian Policy Search with Policy Priors. | David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum |
| 2009 | UAI | The Infinite Latent Events Model. | David Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum |
| 2008 | ILP | Building Theories of the World: Human and Machine Learning Perspectives. | Joshua B. Tenenbaum |
| 2008 | UAI | Church: a language for generative models. | Noah D. Goodman, Vikash K. Mansinghka, Daniel M. Roy, Kallista A. Bonawitz, Joshua B. Tenenbaum |
| 2006 | AAAI | Learning Systems of Concepts with an Infinite Relational Model. | Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda |
| 2006 | ACL | Unsupervised Topic Modelling for Multi-Party Spoken Discourse. | Matthew Purver, Konrad P. Krding, Thomas L. Griffiths, Joshua B. Tenenbaum |
| 2006 | UAI | Structured Priors for Structure Learning. | Vikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum |
| 1997 | CVPR | Learning bilinear models for two-factor problems in vision. | William T. Freeman, Joshua B. Tenenbaum |