Publications

2020

  • William A.P Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Josh Tenenbaum, Bernhard Egger:
    A Morphable Face Albedo Model (pdf) (bibtex)
    Conference on Computer Vision and Pattern Recognition (CVPR)
     #3d morphable model, #inverse rendering
    @article{WilliamA.PSmith:2020:c2ca3,
    author = {William A.P Smith and Alassane Seck and Hannah Dee and Bernard Tiddeman and Josh Tenenbaum and Bernhard Egger},
    journal = {Conference on Computer Vision and Pattern Recognition (CVPR)},
    title = {A Morphable Face Albedo Model},
    year = {2020},
    keywords = {3d morphable model, inverse rendering},
    doi = {},
    url = {https://openaccess.thecvf.com/content_CVPR_2020/papers/Smith_A_Morphable_Face_Albedo_Model_CVPR_2020_paper.pdf}
    }
  • Tianmin Shu, Marta Kryven, Tomer D. Ullman, Joshua B. Tenenbaum:
    Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics (pdf) (bibtex)
    Proceedings of the 42nd Annual Virtual Meeting of the Cognitive Science Society
    #social perception, #theory of mind, #intuitive physics, #bayesian inverse planning, #hierarchical planning
    @article{TianminShu:2020:7d0b7,
    author = {Tianmin Shu and Marta Kryven and Tomer D. Ullman and Joshua B. Tenenbaum},
    journal = {Proceedings of the 42nd Annual Virtual Meeting of the Cognitive Science Society },
    title = {Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics},
    year = {2020},
    keywords = {social perception, theory of mind, intuitive physics, bayesian inverse planning, hierarchical planning},
    doi = {},
    url = {https://www.tshu.io/HeiderSimmel/CogSci20/Flatland_CogSci20.pdf}
    }
  • Tom Silver, Kelsey Allen, Leslie Kaelbling, Josh Tenenbaum:
    Few-shot Bayesian imitation learning with logical program policies (pdf) (bibtex)
    AAAI
     #rl, #imitation learning, #program synthesis
    @article{TomSilver:2020:1c861,
    author = {Tom Silver and Kelsey Allen and Leslie Kaelbling and Josh Tenenbaum},
    journal = {AAAI},
    title = {Few-shot Bayesian imitation learning with logical program policies},
    year = {2020},
    keywords = {rl, imitation learning, program synthesis},
    doi = {},
    url = {https://arxiv.org/pdf/1904.06317.pdf}
    }
  • Tessler, M. H., Bridgers, S., & Tenenbaum, J. B.:
    How many observations is one generic worth? (web) (bibtex)
    Proceedings of the 42nd Annual Virtual Meeting of the Cognitive Science Society
    #language, #pragmatics, #generics, #pedagogy, #bayesian learning
    @article{Tessler:2020:4564a,
    author = {Tessler and M. H. and Bridgers and S. and & Tenenbaum and J. B.},
    journal = {Proceedings of the 42nd Annual Virtual Meeting of the Cognitive Science Society },
    title = {How many observations is one generic worth?},
    year = {2020},
    keywords = {language, pragmatics, generics, pedagogy, bayesian learning},
    doi = {},
    url = {https://psyarxiv.com/cyhmu/}
    }
  • Bernhard Egger, Max Siegel, Riya Arora, Amir Arsalan Soltani, Ilker Yildirm, Josh Tenenbaum:
    Inverse Rendering Best Explains Face Perception Under Extreme Illuminations (bibtex)
    Proceedings of the 42nd Annual Virtual Meeting of the Cognitive Science Society
    #3d morphable model, #inverse rendering
    @article{BernhardEgger:2020:33795,
    author = {Bernhard Egger and Max Siegel and Riya Arora and Amir Arsalan Soltani and Ilker Yildirm and Josh Tenenbaum},
    journal = {Proceedings of the 42nd Annual Virtual Meeting of the Cognitive Science Society },
    title = {Inverse Rendering Best Explains Face Perception Under Extreme Illuminations},
    year = {2020},
    keywords = {3d morphable model, inverse rendering},
    doi = {},
    url = {}
    }
  • Yikai Li*, Jiayuan Mao*, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
    Perspective Plane Program Induction from a Single Image (web) (bibtex)
    Conference on Computer Vision and Pattern Recognition (CVPR)
     #inverse graphics, #image manipulation
    @article{YikaiLi*:2020:8acd2,
    author = {Yikai Li* and Jiayuan Mao* and Xiuming Zhang and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {Conference on Computer Vision and Pattern Recognition (CVPR)},
    title = {Perspective Plane Program Induction from a Single Image},
    year = {2020},
    keywords = {inverse graphics, image manipulation},
    doi = {},
    url = {https://arxiv.org/abs/2006.14708}
    }
  • Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama:
    Program Synthesis with Pragmatic Communication (web) (bibtex)
    2nd ICML 2020 Workshop on Human in the Loop Learning
     #communication, #pragmatics, #program induction
    @article{YewenPu:2020:9db46,
    author = {Yewen Pu and Kevin Ellis and Marta Kryven and Josh Tenenbaum and Armando Solar-Lezama},
    journal = {2nd ICML 2020 Workshop on Human in the Loop Learning},
    title = {Program Synthesis with Pragmatic Communication},
    year = {2020},
    keywords = {communication, pragmatics, program induction},
    doi = {},
    url = {https://arxiv.org/abs/2007.05060}
    }

2019

  • Yunyun Wang, Chuang Gan, Max H. Siegel, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum:
    A Computational Model for Combinatorial Generalization in Physical Perception from Sound (pdf) (bibtex)
    Conference on Cognitive Computational Neuroscience (CCN)
     #auditory scene analysis, #deep learning, #compositionality
    @article{YunyunWang:2019:5e228,
    author = {Yunyun Wang and Chuang Gan and Max H. Siegel and Zhoutong Zhang and Jiajun Wu and Joshua B. Tenenbaum},
    journal = {Conference on Cognitive Computational Neuroscience (CCN)},
    title = {A Computational Model for Combinatorial Generalization in Physical Perception from Sound},
    year = {2019},
    keywords = {auditory scene analysis, deep learning, compositionality},
    doi = {},
    url = {https://jiajunwu.com/papers/combsound_ccn.pdf}
    }
  • Ilker Yildirim, Jiajun Wu, Nancy Kanwisher, Joshua B. Tenenbaum:
    An Integrative Computational Architecture for Object-Driven Cortex (web) (bibtex)
    Current Opinion in Neurobiology (CONEUR)
     #computational neuroscience, #object representation
    @article{IlkerYildirim:2019:443ba,
    author = {Ilker Yildirim and Jiajun Wu and Nancy Kanwisher and Joshua B. Tenenbaum},
    journal = {Current Opinion in Neurobiology (CONEUR)},
    title = {An Integrative Computational Architecture for Object-Driven Cortex},
    year = {2019},
    keywords = {computational neuroscience, object representation},
    doi = {},
    url = {https://www.sciencedirect.com/science/article/pii/S0959438818301995}
    }
  • Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik:
    ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics (web) (bibtex)
    IEEE International Conference on Robotics and Automation (ICRA)
     #dynamics modeling, #deep learning, #robotics
    @article{YuanmingHu:2019:88b13,
    author = {Yuanming Hu and Jiancheng Liu and Andrew Spielberg and Joshua B. Tenenbaum and William T. Freeman and Jiajun Wu and Daniela Rus and Wojciech Matusik},
    journal = {IEEE International Conference on Robotics and Automation (ICRA)},
    title = {ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics},
    year = {2019},
    keywords = {dynamics modeling, deep learning, robotics},
    doi = {},
    url = {https://github.com/yuanming-hu/ChainQueen}
    }
  • Anurag Ajay, Maria Bauza, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie P. Kaelbling:
    Combining Physical Simulators and Object-Based Networks for Control (web) (bibtex)
    IEEE International Conference on Robotics and Automation (ICRA)
     #dynamics modeling, #deep learning, #robotics
    @article{AnuragAjay:2019:95128,
    author = {Anurag Ajay and Maria Bauza and Jiajun Wu and Nima Fazeli and Joshua B. Tenenbaum and Alberto Rodriguez and Leslie P. Kaelbling},
    journal = {IEEE International Conference on Robotics and Automation (ICRA)},
    title = {Combining Physical Simulators and Object-Based Networks for Control},
    year = {2019},
    keywords = {dynamics modeling, deep learning, robotics},
    doi = {},
    url = {http://sain.csail.mit.edu/}
    }
  • Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song:
    DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions (web) (bibtex)
    Robotics: Science and Systems (RSS)
     #deep learning, #robotics, #intuitive physics
    @article{ZhenjiaXu:2019:b51cb,
    author = {Zhenjia Xu and Jiajun Wu and Andy Zeng and Joshua B. Tenenbaum and Shuran Song},
    journal = {Robotics: Science and Systems (RSS)},
    title = {DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions},
    year = {2019},
    keywords = {deep learning, robotics, intuitive physics},
    doi = {},
    url = {http://www.zhenjiaxu.com/DensePhysNet/}
    }
  • Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba:
    Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, Fluids (web) (bibtex)
    International Conference on Learning Representations (ICLR)
     #dynamics predicting, #planning and control
    @article{YunzhuLi:2019:bda8a,
    author = {Yunzhu Li and Jiajun Wu and Russ Tedrake and Joshua B. Tenenbaum and Antonio Torralba},
    journal = {International Conference on Learning Representations (ICLR)},
    title = {Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, Fluids},
    year = {2019},
    keywords = {dynamics predicting, planning and control},
    doi = {},
    url = {http://dpi.csail.mit.edu/}
    }
  • Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
    Learning to Describe Scenes with Programs (web) (bibtex)
    International Conference on Learning Representations (ICLR)
     #neuro-symbolic algorithms, #computer vision, #scene understanding
    @article{YunchaoLiu:2019:11ea4,
    author = {Yunchao Liu and Zheng Wu and Daniel Ritchie and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {International Conference on Learning Representations (ICLR)},
    title = {Learning to Describe Scenes with Programs},
    year = {2019},
    keywords = {neuro-symbolic algorithms, computer vision, scene understanding},
    doi = {},
    url = {https://openreview.net/pdf?id=SyNPk2R9K7}
    }
  • Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
    Learning to Infer and Execute 3D Shape Programs (web) (bibtex)
    International Conference on Learning Representations (ICLR)
     #neuro-symbolic algorithms, #shape modeling, #computer vision
    @article{YonglongTian:2019:d433c,
    author = {Yonglong Tian and Andrew Luo and Xingyuan Sun and Kevin Ellis and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {International Conference on Learning Representations (ICLR)},
    title = {Learning to Infer and Execute 3D Shape Programs},
    year = {2019},
    keywords = {neuro-symbolic algorithms, shape modeling, computer vision},
    doi = {},
    url = {http://shape2prog.csail.mit.edu}
    }
  • C. Wong, K. Ellis, M. Sable-Meyer, J. Tenenbaum:
    Modeling expertise with neurally-guided Bayesian program induction (web) (bibtex)
    Proceedings of the 41st Annual Meeting of the Cognitive Science Society
     #expertise, #program induction
    @article{C.Wong:2019:905d3,
    author = {C. Wong and K. Ellis and M. Sable-Meyer and J. Tenenbaum},
    journal = {Proceedings of the 41st Annual Meeting of the Cognitive Science Society},
    title = {Modeling expertise with neurally-guided Bayesian program induction},
    year = {2019},
    keywords = {expertise, program induction},
    doi = {},
    url = {http://cocosci.mit.edu/?attachment_id=463}
    }
  • Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
    Neurally-Guided Structure Inference (web) (bibtex)
    International Conference on Machine Learning (ICML)
     #machine learning, #compositionality
    @article{SidiLu:2019:1adc0,
    author = {Sidi Lu and Jiayuan Mao and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {International Conference on Machine Learning (ICML)},
    title = {Neurally-Guided Structure Inference},
    year = {2019},
    keywords = {machine learning, compositionality},
    doi = {},
    url = {http://ngsi.csail.mit.edu/}
    }
  • Jiayuan Mao, Xiuming Zhang, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
    Program-Guided Image Manipulators (bibtex)
    IEEE International Conference on Computer Vision (ICCV)
     #neuro-symbolic algorithms, #deep learning, #computer vision
    @article{JiayuanMao:2019:a60ea,
    author = {Jiayuan Mao and Xiuming Zhang and Yikai Li and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
    journal = { IEEE International Conference on Computer Vision (ICCV)},
    title = {Program-Guided Image Manipulators},
    year = {2019},
    keywords = {neuro-symbolic algorithms, deep learning, computer vision},
    doi = {},
    url = {}
    }
  • Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Antonio Torralba, Joshua B. Tenenbaum, Russ Tedrake:
    Propagation Networks for Model-Based Control Under Partial Observation (web) (bibtex)
    IEEE International Conference on Robotics and Automation (ICRA)
     #dynamics modeling, #deep learning, #robotics
    @article{YunzhuLi:2019:dfe34,
    author = {Yunzhu Li and Jiajun Wu and Jun-Yan Zhu and Antonio Torralba and Joshua B. Tenenbaum and Russ Tedrake},
    journal = {IEEE International Conference on Robotics and Automation (ICRA)},
    title = {Propagation Networks for Model-Based Control Under Partial Observation},
    year = {2019},
    keywords = {dynamics modeling, deep learning, robotics},
    doi = {},
    url = {http://propnet.csail.mit.edu/}
    }
  • Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu:
    Reasoning About Physical Interactions with Object-Oriented Prediction and Planning (web) (bibtex)
    International Conference on Learning Representations (ICLR)
     #computer vision, #dynamics prediction, #planning
    @article{MichaelJanner:2019:572c1,
    author = {Michael Janner and Sergey Levine and William T. Freeman and Joshua B. Tenenbaum and Chelsea Finn and Jiajun Wu},
    journal = {International Conference on Learning Representations (ICLR)},
    title = {Reasoning About Physical Interactions with Object-Oriented Prediction and Planning},
    year = {2019},
    keywords = {computer vision, dynamics prediction, planning},
    doi = {},
    url = {https://people.eecs.berkeley.edu/~janner/o2p2/}
    }
  • Nima Fazeli, Miquel Oller, Jiajun Wu, Zheng Wu, Joshua B. Tenenbaum, Alberto Rodriguez:
    See, Feel, Act: Hierarchical Learning for Complex Manipulation Skills with Multi-sensory Fusion (web) (bibtex)
    Science Robotics
     #robotics, #deep learning, #dynamics modeling, #manipulation
    @article{NimaFazeli:2019:a5ddd,
    author = {Nima Fazeli and Miquel Oller and Jiajun Wu and Zheng Wu and Joshua B. Tenenbaum and Alberto Rodriguez},
    journal = {Science Robotics},
    title = {See, Feel, Act: Hierarchical Learning for Complex Manipulation Skills with Multi-sensory Fusion},
    year = {2019},
    keywords = {robotics, deep learning, dynamics modeling, manipulation},
    doi = {},
    url = {http://robotics.sciencemag.org/content/4/26/eaav3123}
    }
  • Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy:
    Stochastic Prediction of Multi-Agent Interactions from Partial Observations (web) (bibtex)
    International Conference on Learning Representations (ICLR)
     #dynamics prediction
    @article{ChenSun:2019:6f938,
    author = {Chen Sun and Per Karlsson and Jiajun Wu and Joshua B. Tenenbaum and Kevin Murphy},
    journal = {International Conference on Learning Representations (ICLR)},
    title = {Stochastic Prediction of Multi-Agent Interactions from Partial Observations},
    year = {2019},
    keywords = {dynamics prediction},
    doi = {},
    url = {https://openreview.net/pdf?id=r1xdH3CcKX}
    }
  • Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
    The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, Sentences From Natural Supervision (web) (bibtex)
    International Conference on Learning Representations (ICLR)
     #computer vision, #visual reasoning, #neuro-symbolic algorithms
    @article{JiayuanMao:2019:208a5,
    author = {Jiayuan Mao and Chuang Gan and Pushmeet Kohli and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {International Conference on Learning Representations (ICLR)},
    title = {The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, Sentences From Natural Supervision},
    year = {2019},
    keywords = {computer vision, visual reasoning, neuro-symbolic algorithms},
    doi = {},
    url = {http://nscl.csail.mit.edu}
    }
  • Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
    Unsupervised Discovery of Parts, Structure, and Dynamics (web) (bibtex)
    International Conference on Learning Representations (ICLR)
     #dynamics prediction, #computer vision
    @article{ZhenjiaXu:2019:4110f,
    author = {Zhenjia Xu and Zhijian Liu and Chen Sun and Kevin Murphy and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {International Conference on Learning Representations (ICLR)},
    title = {Unsupervised Discovery of Parts, Structure, and Dynamics},
    year = {2019},
    keywords = {dynamics prediction, computer vision},
    doi = {},
    url = {http://psd.csail.mit.edu}
    }
  • Chi Han*, Jiayuan Mao*, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu:
    Visual Concept-Metaconcept Learning (web) (bibtex)
    Advances in Neural Information Processing Systems
     #language, #concept learning
    @article{ChiHan*:2019:3cbf4,
    author = {Chi Han* and Jiayuan Mao* and Chuang Gan and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {Advances in Neural Information Processing Systems},
    title = {Visual Concept-Metaconcept Learning},
    year = {2019},
    keywords = {language, concept learning},
    doi = {},
    url = {https://arxiv.org/abs/2002.01464}
    }

2018

  • Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
    3D Interpreter Networks for Viewer-Centered Wireframe Modeling (web) (bibtex)
    International Journal of Computer Vision (IJCV)
     #3d vision, #deep learning
    @article{JiajunWu:2018:ad749,
    author = {Jiajun Wu and Tianfan Xue and Joseph J. Lim and Yuandong Tian and Joshua B. Tenenbaum and Antonio Torralba and William T. Freeman},
    journal = {International Journal of Computer Vision (IJCV)},
    title = {3D Interpreter Networks for Viewer-Centered Wireframe Modeling},
    year = {2018},
    keywords = {3d vision, deep learning},
    doi = {},
    url = {http://3dinterpreter.csail.mit.edu/}
    }
  • Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, Edward H. Adelson:
    3D Shape Perception from Monocular Vision, Touch, and Shape Priors (web) (bibtex)
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
     #3d vision, #multi-modal learning, #deep learning
    @article{ShaoxiongWang:2018:158c4,
    author = {Shaoxiong Wang and Jiajun Wu and Xingyuan Sun and Wenzhen Yuan and William T. Freeman and Joshua B. Tenenbaum and Edward H. Adelson},
    journal = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    title = {3D Shape Perception from Monocular Vision, Touch, and Shape Priors},
    year = {2018},
    keywords = {3d vision, multi-modal learning, deep learning},
    doi = {},
    url = {http://touch.csail.mit.edu}
    }
  • Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, William T. Freeman, Joshua B. Tenenbaum:
    3D-Aware Scene Manipulation via Inverse Graphics (web) (bibtex)
    Advances in Neural Information Processing Systems (NeurIPS)
     #3d vision, #deep learning, #scene understanding
    @article{ShunyuYao:2018:a9aef,
    author = {Shunyu Yao and Tzu-Ming Harry Hsu and Jun-Yan Zhu and Jiajun Wu and Antonio Torralba and William T. Freeman and Joshua B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NeurIPS)},
    title = {3D-Aware Scene Manipulation via Inverse Graphics},
    year = {2018},
    keywords = {3d vision, deep learning, scene understanding},
    doi = {},
    url = {http://3dsdn.csail.mit.edu/}
    }
  • J. K. Hartshorne, J. B. Tenenbaum, S. Pinker:
    A critical period for second language acquisition: Evidence from 2/3 million English speakers. (pdf) (bibtex)
    Cognition
     #language
    @article{J.K.Hartshorne:2018:fe638,
    author = {J. K. Hartshorne and J. B. Tenenbaum and S. Pinker},
    journal = {Cognition},
    title = {A critical period for second language acquisition: Evidence from 2/3 million English speakers.},
    year = {2018},
    keywords = {language},
    doi = {},
    url = {https://s3.amazonaws.com/l3atbc-public/pub_pdfs/JK_Hartshorne_JB_Tenenbaum_S_Pinker_2018.pdf}
    }
  • Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauza, Leslie P. Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez:
    Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing (web) (bibtex)
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
     #dynamics modeling, #deep learning, #robotics
    @article{AnuragAjay:2018:2ddc2,
    author = {Anurag Ajay and Jiajun Wu and Nima Fazeli and Maria Bauza and Leslie P. Kaelbling and Joshua B. Tenenbaum and Alberto Rodriguez},
    journal = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    title = {Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing},
    year = {2018},
    keywords = {dynamics modeling, deep learning, robotics},
    doi = {},
    url = {http://physplus.csail.mit.edu}
    }
  • Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
    Learning Shape Priors for Single-View 3D Completion and Reconstruction (web) (bibtex)
    European Conference on Computer Vision (ECCV)
     #3d vision, #deep learning
    @article{JiajunWu:2018:11782,
    author = {Jiajun Wu and Chengkai Zhang and Xiuming Zhang and Zhoutong Zhang and William T. Freeman and Joshua B. Tenenbaum},
    journal = {European Conference on Computer Vision (ECCV)},
    title = {Learning Shape Priors for Single-View 3D Completion and Reconstruction},
    year = {2018},
    keywords = {3d vision, deep learning},
    doi = {},
    url = {http://shapehd.csail.mit.edu/}
    }
  • Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
    Learning to Exploit Stability for 3D Scene Parsing (web) (bibtex)
    Advances in Neural Information Processing Systems (NeurIPS)
     #3d vision, #deep learning, #scene understanding
    @article{YilunDu:2018:b73f5,
    author = {Yilun Du and Zhijian Liu and Hector Basevi and Ales Leonardis and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {Advances in Neural Information Processing Systems (NeurIPS)},
    title = {Learning to Exploit Stability for 3D Scene Parsing},
    year = {2018},
    keywords = {3d vision, deep learning, scene understanding},
    doi = {},
    url = {http://scenephys.csail.mit.edu/}
    }
  • Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
    Learning to Reconstruct Shapes from Unseen Classes (web) (bibtex)
    Advances in Neural Information Processing Systems (NeurIPS)
     #3d vision, #deep learning
    @article{XiumingZhang:2018:0b69d,
    author = {Xiuming Zhang and Zhoutong Zhang and Chengkai Zhang and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {Advances in Neural Information Processing Systems (NeurIPS)},
    title = {Learning to Reconstruct Shapes from Unseen Classes},
    year = {2018},
    keywords = {3d vision, deep learning},
    doi = {},
    url = {http://genre.csail.mit.edu/}
    }
  • Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Joshua B. Tenenbaum:
    Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding (web) (bibtex)
    Advances in Neural Information Processing Systems (NeurIPS)
     #visual reasoning, #deep learning, #scene understanding
    @article{KexinYi:2018:18b7f,
    author = {Kexin Yi and Jiajun Wu and Chuang Gan and Antonio Torralba and Pushmeet Kohli and Joshua B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NeurIPS)},
    title = {Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding},
    year = {2018},
    keywords = {visual reasoning, deep learning, scene understanding},
    doi = {},
    url = {http://nsvqa.csail.mit.edu/}
    }
  • Ilker Yildirim, Kevin Smith, Mario Belledonne, Jiajun Wu, Joshua B. Tenenbaum:
    Neurocomputational Modeling of Human Physical Scene Understanding (pdf) (bibtex)
    Conference on Cognitive Computational Neuroscience (CCN)
     #intuitive physics, #deep learning, #scene understanding
    @article{IlkerYildirim:2018:068cb,
    author = {Ilker Yildirim and Kevin Smith and Mario Belledonne and Jiajun Wu and Joshua B. Tenenbaum},
    journal = {Conference on Cognitive Computational Neuroscience (CCN)},
    title = {Neurocomputational Modeling of Human Physical Scene Understanding},
    year = {2018},
    keywords = {intuitive physics, deep learning, scene understanding},
    doi = {},
    url = {https://jiajunwu.com/papers/humanphys_ccn.pdf}
    }
  • Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
    Physical Primitive Decomposition (web) (bibtex)
    European Conference on Computer Vision (ECCV)
     #3d vision, #deep learning, #intuitive physics
    @article{ZhijianLiu:2018:7414d,
    author = {Zhijian Liu and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {European Conference on Computer Vision (ECCV)},
    title = {Physical Primitive Decomposition},
    year = {2018},
    keywords = {3d vision, deep learning, intuitive physics},
    doi = {},
    url = {http://ppd.csail.mit.edu/}
    }
  • Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
    Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling (web) (bibtex)
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
     #3d vision, #deep learning
    @article{XingyuanSun:2018:02ad6,
    author = {Xingyuan Sun and Jiajun Wu and Xiuming Zhang and Zhoutong Zhang and Chengkai Zhang and Tianfan Xue and Joshua B. Tenenbaum and William T. Freeman},
    journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    title = {Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling},
    year = {2018},
    keywords = {3d vision, deep learning},
    doi = {},
    url = {http://pix3d.csail.mit.edu}
    }
  • Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman:
    Seeing Tree Structure from Vibration (web) (bibtex)
    European Conference on Computer Vision (ECCV)
     #computer vision, #hierarchical bayes, #scene understanding
    @article{TianfanXue:2018:4ccba,
    author = {Tianfan Xue and Jiajun Wu and Zhoutong Zhang and Chengkai Zhang and Joshua B. Tenenbaum and William T. Freeman},
    journal = {European Conference on Computer Vision (ECCV)},
    title = {Seeing Tree Structure from Vibration},
    year = {2018},
    keywords = {computer vision, hierarchical bayes, scene understanding},
    doi = {},
    url = {http://tree.csail.mit.edu/}
    }
  • David Zheng, Vinson Luo, Jiajun Wu, Joshua B. Tenenbaum:
    Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks (web) (bibtex)
    Conference on Uncertainty in Artificial Intelligence (UAI)
     #intuitive physics, #scene understanding, #graph networks
    @article{DavidZheng:2018:91c7a,
    author = {David Zheng and Vinson Luo and Jiajun Wu and Joshua B. Tenenbaum},
    journal = {Conference on Uncertainty in Artificial Intelligence (UAI)},
    title = {Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks},
    year = {2018},
    keywords = {intuitive physics, scene understanding, graph networks},
    doi = {},
    url = {http://ppn.csail.mit.edu}
    }
  • Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman:
    Visual Object Networks: Image Generation with Disentangled 3D Representations (web) (bibtex)
    Advances in Neural Information Processing Systems (NeurIPS)
     #3d vision, #deep learning
    @article{Jun-YanZhu:2018:3aa73,
    author = {Jun-Yan Zhu and Zhoutong Zhang and Chengkai Zhang and Jiajun Wu and Antonio Torralba and Joshua B. Tenenbaum and William T. Freeman},
    journal = {Advances in Neural Information Processing Systems (NeurIPS)},
    title = {Visual Object Networks: Image Generation with Disentangled 3D Representations},
    year = {2018},
    keywords = {3d vision, deep learning},
    doi = {},
    url = {http://von.csail.mit.edu/}
    }

2017

2016

  • Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
    A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding (web) (bibtex)
    Proceedings of the 38th Annual Conference of the Cognitive Science Society
     #intuitive physics, #simulation, #deep learning, #scene understanding
    @article{RenqiaoZhang:2016:84ee7,
    author = {Renqiao Zhang and Jiajun Wu and Chengkai Zhang and William T. Freeman and Joshua B. Tenenbaum},
    journal = {Proceedings of the 38th Annual Conference of the Cognitive Science Society},
    title = {A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding},
    year = {2016},
    keywords = {intuitive physics, simulation, deep learning, scene understanding},
    doi = {},
    url = {http://blocks.csail.mit.edu/}
    }
  • Tejas D Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum:
    Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation (web) (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
     #reinforcement learning, #hierarchical modeling, #deep learning
    @article{TejasDKulkarni:2016:847fe,
    author = {Tejas D Kulkarni and Karthik Narasimhan and Ardavan Saeedi and Josh Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation},
    year = {2016},
    keywords = {reinforcement learning, hierarchical modeling, deep learning},
    doi = {},
    url = {http://papers.nips.cc/paper/6232-hierarchical-deep-reinforcement-learning-integrating-temporal-abstraction-and-intrinsic-motivation}
    }
  • Laura Niemi, Joshua Hartshorne, Tobias Gerstenberg, Liane Young:
    Implicit measurement of motivated causal attribution (pdf) (bibtex)
    Proceedings of the 38th Annual Conference of the Cognitive Science Society
     #morality, #causality, #language
    @article{LauraNiemi:2016:e3941,
    author = {Laura Niemi and Joshua Hartshorne and Tobias Gerstenberg and Liane Young},
    journal = {Proceedings of the 38th Annual Conference of the Cognitive Science Society},
    title = {Implicit measurement of motivated causal attribution},
    year = {2016},
    keywords = {morality, causality, language},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Implicit%20measurement%20of%20motivated%20causal%20attribution,%20Niemi%20et%20al.,%202016.pdf}
    }
  • Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum:
    Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (web) (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
     #simulation, #deep learning, #generative adversarial learning, #3d vision
    @article{JiajunWu:2016:3471d,
    author = {Jiajun Wu and Chengkai Zhang and Tianfan Xue and William T. Freeman and Joshua B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling},
    year = {2016},
    keywords = {simulation, deep learning, generative adversarial learning, 3d vision},
    doi = {},
    url = {http://3dgan.csail.mit.edu/}
    }
  • Neil Bramley, Tobias Gerstenberg, Joshua B. Tenenbaum:
    Natural science: Active learning in dynamic physical microworlds (pdf) (bibtex)
    Proceedings of the 38th Annual Conference of the Cognitive Science Society
     #causality, #learning, #intuitive physics
    @article{NeilBramley:2016:87d9f,
    author = {Neil Bramley and Tobias Gerstenberg and Joshua B. Tenenbaum},
    journal = {Proceedings of the 38th Annual Conference of the Cognitive Science Society},
    title = {Natural science: Active learning in dynamic physical microworlds},
    year = {2016},
    keywords = {causality, learning, intuitive physics},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Natural%20science%20Active%20learning%20in%20dynamic%20physical%20microworlds,%20Bramley,%20Gerstenberg,%20Tenenbaum,%202016.pdf}
    }
  • Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, William T. Freeman:
    Physics 101: Learning Physical Object Properties from Unlabeled Videos (web) (bibtex)
    British Machine Vision Conference (BMVC)
     #intuitive physics, #unsupervised learning, #deep learning, #scene understanding
    @article{JiajunWu:2016:9e6c9,
    author = {Jiajun Wu and Joseph J. Lim and Hongyi Zhang and Joshua B. Tenenbaum and William T. Freeman},
    journal = {British Machine Vision Conference (BMVC)},
    title = {Physics 101: Learning Physical Object Properties from Unlabeled Videos},
    year = {2016},
    keywords = {intuitive physics, unsupervised learning, deep learning, scene understanding},
    doi = {},
    url = {http://phys101.csail.mit.edu/}
    }
  • Sam Gershman*, Tobias Gerstenberg*, Chris Baker, Fiery Cushman:
    Plans, habits, and theory of mind (web) (bibtex)
    PLoS ONE
     #planning, #theory of mind, #habit
    @article{SamGershman*:2016:ce34e,
    author = {Sam Gershman* and Tobias Gerstenberg* and Chris Baker and Fiery Cushman},
    journal = {PLoS ONE},
    title = {Plans, habits, and theory of mind},
    year = {2016},
    keywords = {planning, theory of mind, habit},
    doi = {},
    url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0162246}
    }
  • Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
    Single Image 3D Interpreter Network (web) (bibtex)
    European Conference in Computer Vision (ECCV)
     #deep learning, #self-supervised learning, #3d vision
    @article{JiajunWu:2016:770f7,
    author = {Jiajun Wu and Tianfan Xue and Joseph J. Lim and Yuandong Tian and Joshua B. Tenenbaum and Antonio Torralba and William T. Freeman},
    journal = {European Conference in Computer Vision (ECCV)},
    title = {Single Image 3D Interpreter Network},
    year = {2016},
    keywords = {deep learning, self-supervised learning, 3d vision},
    doi = {},
    url = {http://3dinterpreter.csail.mit.edu/}
    }
  • Tobias Gerstenberg, Joshua B. Tenenbaum:
    Understanding “almost”: Empirical and computational studies of near misses (pdf) (bibtex)
    Proceedings of the 38th Annual Conference of the Cognitive Science Society
     #counterfactuals, #causality, #intuitive physics, #language, #almost
    @article{TobiasGerstenberg:2016:5328e,
    author = {Tobias Gerstenberg and Joshua B. Tenenbaum},
    journal = {Proceedings of the 38th Annual Conference of the Cognitive Science Society},
    title = {Understanding “almost”: Empirical and computational studies of near misses},
    year = {2016},
    keywords = {counterfactuals, causality, intuitive physics, language, almost},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Understanding%20almost%20Empirical%20and%20computational%20studies%20of%20near%20misses,%20Gerstenberg,%20Tenenbaum,%202016.pdf}
    }

2015

  • David Lagnado, Tobias Gerstenberg:
    A difference-making framework for intuitive judgments of responsibility (pdf) (bibtex)
    Oxford Studies in Agency and Responsibility
     #responsibility, #causality, #counterfactuals
    @article{DavidLagnado:2015:1ec9c,
    author = {David Lagnado and Tobias Gerstenberg},
    journal = {Oxford Studies in Agency and Responsibility},
    title = {A difference-making framework for intuitive judgments of responsibility},
    year = {2015},
    keywords = {responsibility, causality, counterfactuals},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/A%20Difference-Making%20Framework%20for%20Intuitive%20Judgments%20of%20Responsibility,%20Lagnado,%20Gerstenberg,%202015.pdf}
    }
  • Schulz E., Tenenbaum J.B., Reshef D.N., Speekenbrink M., Gershman, S.J.:
    Assessing the perceived predictability of functions (pdf) (bibtex)
    Proceedings of the 37th Annual Conference of the Cognitive Science Society.
     #function learning, #predictability, #smoothness, #gaussian processes
    @article{SchulzE.:2015:12ad0,
    author = {Schulz E. and Tenenbaum J.B. and Reshef D.N. and Speekenbrink M. and Gershman and S.J.},
    journal = {Proceedings of the 37th Annual Conference of the Cognitive Science Society.},
    title = {Assessing the perceived predictability of functions},
    year = {2015},
    keywords = {function learning, predictability, smoothness, gaussian processes},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/Schulz15.pdf}
    }
  • Mark Alicke, David Mandel, Denis Hilton, Tobias Gerstenberg, David Lagnado:
    Causal conceptions in social explanation and moral evaluation: A historical tour (pdf) (bibtex)
    Perspectives on Psychological Science
     #causality, #attribution, #counterfactuals, #theory of mind
    @article{MarkAlicke:2015:3d8b0,
    author = {Mark Alicke and David Mandel and Denis Hilton and Tobias Gerstenberg and David Lagnado},
    journal = {Perspectives on Psychological Science},
    title = {Causal conceptions in social explanation and moral evaluation: A historical tour},
    year = {2015},
    keywords = {causality, attribution, counterfactuals, theory of mind},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Causal%20Conceptions%20in%20Social%20Explanation%20and%20Moral%20Evaluation%20A%20Historical%20Tour,%20Alicke%20et%20al.,%202015.pdf}
    }
  • Jonathan Kominsky, Jonathan Phillips, Tobias Gerstenberg, David Lagnado, Joshua Knobe:
    Causal superseding (pdf) (bibtex)
    Cognition
     #causality, #attribution, #counterfactuals, #normality
    @article{JonathanKominsky:2015:4e74a,
    author = {Jonathan Kominsky and Jonathan Phillips and Tobias Gerstenberg and David Lagnado and Joshua Knobe},
    journal = {Cognition},
    title = {Causal superseding},
    year = {2015},
    keywords = {causality, attribution, counterfactuals, normality},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Causal%20superseding,%20Kominsky%20et%20al.,%202015.pdf}
    }
  • Jara-Ettinger J., Gweon H., Tenenbaum J.B., Schulz E.:
    Children’s understanding of the costs and rewards underlying rational action (web) (bibtex)
    Cognition
     #social cognition, #theory of mind
    @article{Jara-EttingerJ.:2015:6bcc0,
    author = {Jara-Ettinger J. and Gweon H. and Tenenbaum J.B. and Schulz E.},
    journal = {Cognition},
    title = {Children’s understanding of the costs and rewards underlying rational action},
    year = {2015},
    keywords = {social cognition, theory of mind},
    doi = {},
    url = {http://www.sciencedirect.com/science/article/pii/S0010027715000566}
    }
  • S.J. Gershman, E.J. Horvitz, J.B. Tenenbaum:
    Computational rationality: a converging paradigm for intelligence in brains, minds, and machines (pdf) (bibtex)
    Science
     #decision making, #reinforcement learning, #hypothesis sampling
    @article{S.J.Gershman:2015:79191,
    author = {S.J. Gershman and E.J. Horvitz and J.B. Tenenbaum},
    journal = {Science},
    title = {Computational rationality: a converging paradigm for intelligence in brains, minds, and machines},
    year = {2015},
    keywords = {decision making, reinforcement learning, hypothesis sampling},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/GershmanHorvitzTenenbaum15.pdf}
    }
  • Noah Goodman, Joshua Tenenbaum, Tobias Gerstenberg:
    Concepts in a probabilistic language of thought (pdf) (bibtex)
    The Conceptual Mind: New Directions in the Study of Concepts
     #concepts, #representation, #learning, #causality, #intuitive physics, #intuitive psychology
    @article{NoahGoodman:2015:d2016,
    author = {Noah Goodman and Joshua Tenenbaum and Tobias Gerstenberg},
    journal = {The Conceptual Mind: New Directions in the Study of Concepts},
    title = {Concepts in a probabilistic language of thought},
    year = {2015},
    keywords = {concepts, representation, learning, causality, intuitive physics, intuitive psychology},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Concepts%20in%20a%20probabilistic%20language%20of%20thought%20(Goodman,%20Tenenbaum,%20Gerstenberg,%202014).pdf}
    }
  • Tejas D Kulkarni, William F Whitney, Pushmeet Kohli, Josh Tenenbaum:
    Deep Convolutional Inverse Graphics Network (web) (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
     #inverse vision, #deep learning, #disentangled representation,
    @article{TejasDKulkarni:2015:19456,
    author = {Tejas D Kulkarni and William F Whitney and Pushmeet Kohli and Josh Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Deep Convolutional Inverse Graphics Network},
    year = {2015},
    keywords = {inverse vision, deep learning, disentangled representation,},
    doi = {},
    url = {http://papers.nips.cc/paper/5851-deep-convolutional-inverse-graphics-network}
    }
  • S.J. Gershman, J.B. Tenenbaum, F. Jaekel:
    Discovering hierarchical motion structure (pdf) (bibtex)
    Vision Research
     #motion perception; structure learning
    @article{S.J.Gershman:2015:dcd05,
    author = {S.J. Gershman and J.B. Tenenbaum and F. Jaekel},
    journal = {Vision Research},
    title = {Discovering hierarchical motion structure},
    year = {2015},
    keywords = {motion perception; structure learning},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/GershmanTenenbaumJakel15.pdf}
    }
  • Ilker Yildirim, Tejas D. Kulkarni, Winrich A. Freiwald, Joshua B. Tenenbaum:
    Efficient analysis-by-synthesis in vision: A computational framework, behavioral tests, and modeling neuronal representations (pdf) (bibtex)
    Proceedings of the Thirty-Seventh Annual Conference of the Cognitive Science Society
     #analysis-by-synthesis, #psychophysics, #neural modeling, #face perception, #macaque face patches
    @article{IlkerYildirim:2015:65e3f,
    author = {Ilker Yildirim and Tejas D. Kulkarni and Winrich A. Freiwald and Joshua B. Tenenbaum},
    journal = {Proceedings of the Thirty-Seventh Annual Conference of the Cognitive Science Society},
    title = {Efficient analysis-by-synthesis in vision: A computational framework, behavioral tests, and modeling neuronal representations},
    year = {2015},
    keywords = {analysis-by-synthesis, psychophysics, neural modeling, face perception, macaque face patches},
    doi = {},
    url = {http://www.mit.edu/~ilkery/papers/yildirimetal_cogsci15.pdf}
    }
  • Jiajun Wu, Ilker Yildirim, Joseph J. Lim, William T. Freeman, Joshua B. Tenenbaum:
    Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning (web) (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
     #intuitive physics, #simulation, #deep learning, #unsupervised learning, #scene understanding
    @article{JiajunWu:2015:27dc4,
    author = {Jiajun Wu and Ilker Yildirim and Joseph J. Lim and William T. Freeman and Joshua B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning},
    year = {2015},
    keywords = {intuitive physics, simulation, deep learning, unsupervised learning, scene understanding},
    doi = {},
    url = {http://galileo.csail.mit.edu/}
    }
  • Kelsey Allen, Julian Jara-Ettinger, Tobias Gerstenberg, Max Kleiman-Weiner, Joshua Tenenbaum:
    Go fishing! Responsibility judgments when cooperation breaks down (pdf) (bibtex)
    Proceedings of the 37th Annual Conference of the Cognitive Science Society
     #responsibility, #cooperation, #counterfactuals, #causality, #social cognition
    @article{KelseyAllen:2015:2070d,
    author = {Kelsey Allen and Julian Jara-Ettinger and Tobias Gerstenberg and Max Kleiman-Weiner and Joshua Tenenbaum},
    journal = {Proceedings of the 37th Annual Conference of the Cognitive Science Society},
    title = {Go fishing! Responsibility judgments when cooperation breaks down},
    year = {2015},
    keywords = {responsibility, cooperation, counterfactuals, causality, social cognition},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Go%20fishing!%20Responsibility%20judgments%20when%20cooperation%20breaks%20down,%20Allen%20et%20al.,%202015.pdf}
    }
  • Tobias Gerstenberg, Noah Goodman, David Lagnado, Joshua Tenenbaum:
    How, whether, why: Causal judgments as counterfactual contrasts (pdf) (bibtex)
    Proceedings of the 37th Annual Conference of the Cognitive Science Society
     #causality, #counterfactuals, #intuitive physics
    @article{TobiasGerstenberg:2015:8b39b,
    author = {Tobias Gerstenberg and Noah Goodman and David Lagnado and Joshua Tenenbaum},
    journal = {Proceedings of the 37th Annual Conference of the Cognitive Science Society},
    title = {How, whether, why: Causal judgments as counterfactual contrasts},
    year = {2015},
    keywords = {causality, counterfactuals, intuitive physics},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/How,%20whether,%20why%20Causal%20judgments%20as%20counterfactual%20contrasts,%20Gerstenberg%20et%20al.,%202015.pdf}
    }
  • Brenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum:
    Human-Level Concept Learning Through Probabilistic Program Induction (web) (doi) (bibtex)
    Science
     #concept learning, #program induction, #motor skills, #artificial intelligence, #learning to learn, #bayesian, #one-shot learning
    @article{BrendenMLake:2015:e5493,
    author = {Brenden M Lake and Ruslan Salakhutdinov and Joshua B Tenenbaum},
    journal = {Science},
    title = {Human-Level Concept Learning Through Probabilistic Program Induction},
    year = {2015},
    keywords = {concept learning, program induction, motor skills, artificial intelligence, learning to learn, bayesian, one-shot learning},
    doi = {10.1126/science.aab3050},
    url = {science.sciencemag.org/content/350/6266/1332.short}
    }
  • Max Kleiman-Weiner, Tobias Gerstenberg, Sydney Levine, Joshua B. Tenebaum:
    Inference of intention and permissibility in moral decision making (pdf) (bibtex)
    Proceedings of the 37th Annual Conference of the Cognitive Science Society
     #moral judgment, #social cognition, #intention, #theory of mind, #influence diagrams, #counterfactuals
    @article{MaxKleiman-Weiner:2015:c9207,
    author = {Max Kleiman-Weiner and Tobias Gerstenberg and Sydney Levine and Joshua B. Tenebaum},
    journal = {Proceedings of the 37th Annual Conference of the Cognitive Science Society},
    title = {Inference of intention and permissibility in moral decision making},
    year = {2015},
    keywords = {moral judgment, social cognition, intention, theory of mind, influence diagrams, counterfactuals},
    doi = {},
    url = {http://www.mit.edu/~maxkw/pdf/kleiman2015inference.pdf}
    }
  • S.J. Gershman, J.B. Tenenbaum:
    Phrase similarity in humans and machines (pdf) (bibtex)
    Proceedings of the 37th Annual Conference of the Cognitive Science Society.
     #similarity; semantics; neural networks
    @article{S.J.Gershman:2015:37e02,
    author = {S.J. Gershman and J.B. Tenenbaum},
    journal = {Proceedings of the 37th Annual Conference of the Cognitive Science Society.},
    title = {Phrase similarity in humans and machines},
    year = {2015},
    keywords = {similarity; semantics; neural networks},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/GershmanTenenbaum15.pdf}
    }
  • Tejas D Kulkarni, Pushmeet Kohli, Joshua B Tenenbaum, Vikash Mansinghka:
    Picture : A Probabilistic Programming Language for Scene Perception (pdf) (doi) (bibtex)
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
     #analysis-by-synthesis, #inference, #deep learning, #inverse vision, #3d vision, #probabilistic programming
    @article{TejasDKulkarni:2015:cf27d,
    author = {Tejas D Kulkarni and Pushmeet Kohli and Joshua B Tenenbaum and Vikash Mansinghka},
    journal = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    title = {Picture : A Probabilistic Programming Language for Scene Perception},
    year = {2015},
    keywords = {analysis-by-synthesis, inference, deep learning, inverse vision, 3d vision, probabilistic programming},
    doi = {10.1109/CVPR.2015.7299068},
    url = {http://openaccess.thecvf.com/content_cvpr_2015/papers/Kulkarni_Picture_A_Probabilistic_2015_CVPR_paper.pdf}
    }
  • Tobias Gerstenberg, Joseph Halpern, Joshua Tenenbaum:
    Responsibility judgments in voting scenarios (pdf) (bibtex)
    Proceedings of the 37th Annual Conference of the Cognitive Science Society
     #responsibility, #causality, #counterfactuals
    @article{TobiasGerstenberg:2015:2e47d,
    author = {Tobias Gerstenberg and Joseph Halpern and Joshua Tenenbaum},
    journal = {Proceedings of the 37th Annual Conference of the Cognitive Science Society},
    title = {Responsibility judgments in voting scenarios},
    year = {2015},
    keywords = {responsibility, causality, counterfactuals},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Responsibility%20judgments%20in%20voting%20scenarios,%20Gerstenberg,%20Halpern,%20Tenenbaum,%202015.pdf}
    }
  • Jonathan H. Huggins, Joshua B. Tenenbaum:
    Risk and Regret of Hierarchical Bayesian Learners (pdf) (bibtex)
    Proceedings of the 32nd International Conference on Machine Learning
     #learning theory, #hierarchical modeling
    @article{JonathanH.Huggins:2015:2be49,
    author = {Jonathan H. Huggins and Joshua B. Tenenbaum},
    journal = {Proceedings of the 32nd International Conference on Machine Learning},
    title = {Risk and Regret of Hierarchical Bayesian Learners},
    year = {2015},
    keywords = {learning theory, hierarchical modeling},
    doi = {},
    url = {http://arxiv.org/pdf/1505.04984.pdf}
    }
  • Austerweil, J.L., S.J. Gershman, J.B. Tenenbaum, T.L. Griffiths:
    Structure and flexibility in Bayesian models of cognition (pdf) (bibtex)
    Oxford Handbook of Computational and Mathematical Psychology
     #bayesian nonparametrics; structure learning
    @article{Austerweil:2015:5842a,
    author = {Austerweil and J.L. and S.J. Gershman and J.B. Tenenbaum and T.L. Griffiths},
    journal = {Oxford Handbook of Computational and Mathematical Psychology},
    title = {Structure and flexibility in Bayesian models of cognition},
    year = {2015},
    keywords = {bayesian nonparametrics; structure learning},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/Austerweil15.pdf}
    }
  • J. K. Hartshorne, T. J. O’Donnell, J. B. Tenenbaum:
    The causes and consequences explicit in verbs (pdf) (bibtex)
    Language, Cognition, and Neuroscience
     #language, #common sense
    @article{J.K.Hartshorne:2015:35fef,
    author = {J. K. Hartshorne and T. J. O’Donnell and J. B. Tenenbaum},
    journal = {Language, Cognition, and Neuroscience},
    title = {The causes and consequences explicit in verbs},
    year = {2015},
    keywords = {language, common sense},
    doi = {},
    url = {https://d2dg4e62b1gc8m.cloudfront.net/pub_pdfs/HartshorneODonnellTenenbaum.pdf}
    }
  • Jara-Ettinger J., Tenenbaum J.B., Schulz E.:
    Toddlers’ inferences about costs and culpability (bibtex)
    Psychological Science
     #social cognition, #theory of mind
    @article{Jara-EttingerJ.:2015:4cb84,
    author = {Jara-Ettinger J. and Tenenbaum J.B. and Schulz E.},
    journal = {Psychological Science},
    title = {Toddlers’ inferences about costs and culpability},
    year = {2015},
    keywords = {social cognition, theory of mind},
    doi = {},
    url = {}
    }

2014

  • J. F. Kominsky, J. Phillips, J. Knobe, T. Gerstenberg, D. A. Lagnado:
    Causal supersession (pdf) (bibtex)
    Proceedings of the 36th Annual Conference of the Cognitive Science Society
     #counterfactuals, #causality, #morality
    @article{J.F.Kominsky:2014:3ff18,
    author = {J. F. Kominsky and J. Phillips and J. Knobe and T. Gerstenberg and D. A. Lagnado},
    journal = { Proceedings of the 36th Annual Conference of the Cognitive Science Society},
    title = {Causal supersession},
    year = {2014},
    keywords = {counterfactuals, causality, morality},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Causal%20supersession%20(Kominsky%20et%20al,%202014).pdf}
    }
  • T. Gerstenberg, N. D. Goodman, D. A. Lagnado, J. B. Tenenbaum:
    From counterfactual simulation to causal judgment (pdf) (bibtex)
    Proceedings of the 36th Annual Conference of the Cognitive Science Society
     #causality, #counterfactuals, #simulation, #intuitive physics, #attribution
    @article{T.Gerstenberg:2014:10b25,
    author = {T. Gerstenberg and N. D. Goodman and D. A. Lagnado and J. B. Tenenbaum},
    journal = { Proceedings of the 36th Annual Conference of the Cognitive Science Society},
    title = {From counterfactual simulation to causal judgment},
    year = {2014},
    keywords = {causality, counterfactuals, simulation, intuitive physics, attribution},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/From%20counterfactual%20simulation%20to%20causal%20judgment%20(Gerstenberg%20et%20al,%202014).pdf}
    }
  • N. R. Bramley, T. Gerstenberg, D. A. Lagnado:
    The order of things: Inferring causal structure from temporal patterns (pdf) (bibtex)
    Proceedings of the 36th Annual Conference of the Cognitive Science Society
     #causality, #inference, #learning, #bayesian modeling
    @article{N.R.Bramley:2014:4113b,
    author = {N. R. Bramley and T. Gerstenberg and D. A. Lagnado},
    journal = { Proceedings of the 36th Annual Conference of the Cognitive Science Society},
    title = {The order of things: Inferring causal structure from temporal patterns},
    year = {2014},
    keywords = {causality, inference, learning, bayesian modeling},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/The%20order%20of%20things%20(Bramley,%20Gerstenberg,%20Lagnado,%202014).pdf}
    }
  • T. Gerstenberg, T. D. Ullman, M. Kleiman-Weiner, D. A. Lagnado, J. B. Tenenbaum:
    Wins above replacement: Responsibility attributions as counterfactual replacements (pdf) (bibtex)
    Proceedings of the 36th Annual Conference of the Cognitive Science Society
     #responsibility, #attribution, #counterfactuals, #causality, #bayesian modeling, #theory of mind
    @article{T.Gerstenberg:2014:8eaf9,
    author = {T. Gerstenberg and T. D. Ullman and M. Kleiman-Weiner and D. A. Lagnado and J. B. Tenenbaum},
    journal = { Proceedings of the 36th Annual Conference of the Cognitive Science Society},
    title = {Wins above replacement: Responsibility attributions as counterfactual replacements},
    year = {2014},
    keywords = {responsibility, attribution, counterfactuals, causality, bayesian modeling, theory of mind},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Wins%20above%20replacement%20(Gerstenberg%20et%20al,%202014).pdf}
    }

2013

  • Smith KA, Battaglia PW, Vul E:
    Consistent physics underlying ballistic motion prediction (pdf) (bibtex)
    Proceedings of the 35th Annual Conference of the Cognitive Science Society
     #intuitive physics, #bayesian model
    @article{SmithKA:2013:18706,
    author = {Smith KA and Battaglia PW and Vul E},
    journal = {Proceedings of the 35th Annual Conference of the Cognitive Science Society},
    title = { Consistent physics underlying ballistic motion prediction},
    year = {2013},
    keywords = {intuitive physics, bayesian model},
    doi = {},
    url = {http://web.mit.edu/~pbatt/www/publications/SmitBattVul13CogSci35.pdf}
    }
  • Vikash Mansinghka*, Tejas Kulkarni*, Yura Perov, Josh Tenenbaum:
    Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs (pdf) (bibtex)
    NIPS 2013
     #probabilistic programming, #computational vision, #inverse graphics, #mcmc
    @article{VikashMansinghka*:2013:ea642,
    author = {Vikash Mansinghka* and Tejas Kulkarni* and Yura Perov and Josh Tenenbaum},
    journal = {NIPS 2013},
    title = {Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs},
    year = {2013},
    keywords = {probabilistic programming, computational vision, inverse graphics, mcmc},
    doi = {},
    url = {http://arxiv.org/pdf/1307.0060v1.pdf}
    }
  • T. Gerstenberg, C. Bechlivanidis, D.A. Lagnado:
    Back on track: Backtracking in counterfactual reasoning (pdf) (bibtex)
    Proceedings of the 35th Annual Conference of the Cognitive Science Society
     #counterfactuals, #causality, #inference, #backtracking
    @article{T.Gerstenberg:2013:333a7,
    author = {T. Gerstenberg and C. Bechlivanidis and D.A. Lagnado},
    journal = {Proceedings of the 35th Annual Conference of the Cognitive Science Society},
    title = {Back on track: Backtracking in counterfactual reasoning},
    year = {2013},
    keywords = {counterfactuals, causality, inference, backtracking},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Back%20on%20track%20Backtracking%20in%20counterfactual%20reasoning,%20Gerstenberg,%20Bechlivanidis,%20Lagnado,%202013.pdf}
    }
  • S.J. Gershman, F.J. Jaekel, J.B. Tenenbaum:
    Bayesian vector analysis and the perception of hierarchical motion (pdf) (bibtex)
    Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science Society
     #vision, #motion perception
    @article{S.J.Gershman:2013:8a458,
    author = {S.J. Gershman and F.J. Jaekel and J.B. Tenenbaum},
    journal = {Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science Society},
    title = {Bayesian vector analysis and the perception of hierarchical motion},
    year = {2013},
    keywords = {vision, motion perception},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/GershmanJaekelTenenbaum13.pdf}
    }
  • D.A. Lagnado, T. Gerstenberg, R. Zultan:
    Causal responsibility and counterfactuals (pdf) (bibtex)
    Cognitive Science
     #causality, #counterfactuals, #responsibility attribution, #shared responsibility, #pivotality, #criticality
    @article{D.A.Lagnado:2013:0e33c,
    author = {D.A. Lagnado and T. Gerstenberg and R. Zultan},
    journal = {Cognitive Science},
    title = {Causal responsibility and counterfactuals},
    year = {2013},
    keywords = {causality, counterfactuals, responsibility attribution, shared responsibility, pivotality, criticality},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Causal%20responsibility%20and%20counterfactuals.,%20Lagnado,%20Gerstenberg,%20Zultan,%202013.pdf}
    }
  • D. Wingate, C. Diuk, T. O’Donnell, J.B. Tenenbaum, S.J. Gershman:
    Compositional policy priors (pdf) (bibtex)
    MIT CSAIL Technical Report 2013-007
     #reinforcement learning, #grammar induction
    @article{D.Wingate:2013:8a8cd,
    author = {D. Wingate and C. Diuk and T. O’Donnell and J.B. Tenenbaum and S.J. Gershman},
    journal = {MIT CSAIL Technical Report 2013-007},
    title = {Compositional policy priors},
    year = {2013},
    keywords = {reinforcement learning, grammar induction},
    doi = {},
    url = {http://web.mit.edu/sjgershm/www/MIT-CSAIL-TR-2013-007.pdf}
    }
  • N. D. Goodman, A. Stuhlmueller:
    Knowledge and implicature: Modeling language understanding as social cognition (pdf) (bibtex)
    Topics in Cognitive Science
     #language, #pragmatics
    @article{N.D.Goodman:2013:23996,
    author = {N. D. Goodman and A. Stuhlmueller},
    journal = {Topics in Cognitive Science},
    title = {Knowledge and implicature: Modeling language understanding as social cognition},
    year = {2013},
    keywords = {language, pragmatics},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/implicature-topics2013.pdf}
    }
  • J. Jara-Ettinger, J. Tenenbaum, L. Schulz.:
    Not so innocent: Reasoning about costs, competence, and culpability in very early childhood. (pdf) (bibtex)
    Proceedings of the 35th Annual Conference of the Cognitive Science Society.
     #social cognition, #theory of mind, #cognitive development, #morality
    @article{J.Jara-Ettinger:2013:bdd5c,
    author = {J. Jara-Ettinger and J. Tenenbaum and L. Schulz.},
    journal = {Proceedings of the 35th Annual Conference of the Cognitive Science Society.},
    title = {Not so innocent: Reasoning about costs, competence, and culpability in very early childhood.},
    year = {2013},
    keywords = {social cognition, theory of mind, cognitive development, morality},
    doi = {},
    url = {http://eccl.mit.edu/papers/jaraett_tenenbaum_schulz2013.pdf}
    }
  • A. Stuhlmueller, N. D. Goodman:
    Reasoning about Reasoning by Nested Conditioning: Modeling Theory of Mind with Probabilistic Programs (pdf) (bibtex)
    Journal of Cognitive Systems Research
     #theory of mind, #probabilistic programming
    @article{A.Stuhlmueller:2013:55d25,
    author = {A. Stuhlmueller and N. D. Goodman},
    journal = {Journal of Cognitive Systems Research},
    title = {Reasoning about Reasoning by Nested Conditioning: Modeling Theory of Mind with Probabilistic Programs},
    year = {2013},
    keywords = {theory of mind, probabilistic programming},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/nested-conditioning-cogsys2013.pdf}
    }
  • D. Duvenaud, J. R. Lloyd, R. B. Grosse, J. B. Tenenbaum, Z. Ghahramani:
    Structure discovery in nonparametric regression through compositional kernel search (pdf) (bibtex)
    International Conference on Machine Learning
     #structure discovery, #unsupervised learning, #bayesian model
    @article{D.Duvenaud:2013:29ae2,
    author = {D. Duvenaud and J. R. Lloyd and R. B. Grosse and J. B. Tenenbaum and Z. Ghahramani},
    journal = {International Conference on Machine Learning},
    title = {Structure discovery in nonparametric regression through compositional kernel search},
    year = {2013},
    keywords = {structure discovery, unsupervised learning, bayesian model},
    doi = {},
    url = {http://people.csail.mit.edu/rgrosse/icml2013-gp.pdf}
    }
  • J. K. Hamlin, T. D. Ullman, J. B. Tenenbaum, N. D. Goodman, C. L. Baker:
    The mentalistic basis of core social cognition: Experiments in preverbal infants and a computational model (web) (bibtex)
    Developmental Science
     #morality, #infants, #goal inference, #theory of mind, #inverse planning
    @article{J.K.Hamlin:2013:c9046,
    author = {J. K. Hamlin and T. D. Ullman and J. B. Tenenbaum and N. D. Goodman and C. L. Baker},
    journal = {Developmental Science},
    title = {The mentalistic basis of core social cognition: Experiments in preverbal infants and a computational model},
    year = {2013},
    keywords = {morality, infants, goal inference, theory of mind, inverse planning},
    doi = {},
    url = {http://onlinelibrary.wiley.com/doi/10.1111/desc.12017/abstract}
    }

2012

  • T. D. Ullman, N. D. Goodman and J. B. Tenenbaum:
    Theory learning as stochastic search in the language of thought (pdf) (bibtex)
    Cognitive Development
     #children, #theory learning, #intuitive theories, #mcmc, #search
    @article{T.D.Ullman:2012:1b1b6,
    author = {T. D. Ullman and N. D. Goodman and J. B. Tenenbaum},
    journal = {Cognitive Development},
    title = { Theory learning as stochastic search in the language of thought},
    year = {2012},
    keywords = {children, theory learning, intuitive theories, mcmc, search},
    doi = {},
    url = {http://www.mit.edu/~tomeru/papers/tlss-final.pdf}
    }
  • A. Stuhlmueller, N. D. Goodman:
    A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs (web) (bibtex)
    Second Statistical Relational AI workshop at UAI 2012 (StaRAI-12)
     #dynamic programming, #inference, #probabilistic programming
    @article{A.Stuhlmueller:2012:da21e,
    author = {A. Stuhlmueller and N. D. Goodman},
    journal = {Second Statistical Relational AI workshop at UAI 2012 (StaRAI-12)},
    title = {A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs},
    year = {2012},
    keywords = {dynamic programming, inference, probabilistic programming},
    doi = {},
    url = {http://arxiv.org/abs/1206.3555}
    }
  • R. B. Grosse, R. Salakhutdinov, W. T. Freeman, J. B. Tenenbaum:
    Exploiting compositionality to explore a large space of model structures (pdf) (bibtex)
    Proceedings of the 28th Conference on Uncertainty in AI (UAI)
     #structure discovery, #unsupervised learning, #bayesian model
    @article{R.B.Grosse:2012:f3693,
    author = {R. B. Grosse and R. Salakhutdinov and W. T. Freeman and J. B. Tenenbaum},
    journal = {Proceedings of the 28th Conference on Uncertainty in AI (UAI)},
    title = {Exploiting compositionality to explore a large space of model structures},
    year = {2012},
    keywords = {structure discovery, unsupervised learning, bayesian model},
    doi = {},
    url = {http://people.csail.mit.edu/rgrosse/uai2012-matrix.pdf}
    }
  • R. Zultan, T. Gerstenberg, D.A. Lagnado:
    Finding fault: Causality and counterfactuals in group attributions (pdf) (bibtex)
    Cognition
     #responsibility attribution, #counterfactuals, #causality, #groups
    @article{R.Zultan:2012:4cebb,
    author = {R. Zultan and T. Gerstenberg and D.A. Lagnado},
    journal = {Cognition},
    title = {Finding fault: Causality and counterfactuals in group attributions},
    year = {2012},
    keywords = {responsibility attribution, counterfactuals, causality, groups},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Finding%20fault%20Causality%20and%20counterfactuals%20in%20group%20attributions,%20Zultan,%20Gerstenberg,%20Lagnado,%202012.pdf}
    }
  • S.J. Gershman, E. Vul, J.B. Tenenbaum:
    Multistability and Perceptual Inference (pdf) (bibtex)
    Neural Computation
     #vision, #mcmc
    @article{S.J.Gershman:2012:21525,
    author = {S.J. Gershman and E. Vul and J.B. Tenenbaum},
    journal = {Neural Computation},
    title = {Multistability and Perceptual Inference},
    year = {2012},
    keywords = {vision, mcmc},
    doi = {},
    url = {http://www.princeton.edu/~sjgershm/GershmanVulTenenbaum12.pdf}
    }
  • T. Gerstenberg, N.D. Goodman, D.A. Lagnado, J.B. Tenenbaum:
    Noisy Newtons: Unifying process and dependency accounts of causal attribution (pdf) (bibtex)
    Proceedings of the 34th Annual Conference of the Cognitive Science Society
     #causality, #counterfactuals, #attribution, #intuitive physics
    @article{T.Gerstenberg:2012:8162b,
    author = {T. Gerstenberg and N.D. Goodman and D.A. Lagnado and J.B. Tenenbaum},
    journal = {Proceedings of the 34th Annual Conference of the Cognitive Science Society},
    title = {Noisy Newtons: Unifying process and dependency accounts of causal attribution},
    year = {2012},
    keywords = {causality, counterfactuals, attribution, intuitive physics},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Noisy%20Newtons%20Unifying%20process%20and%20dependency%20accounts%20of%20causal%20attribution,%20Gerstenberg%20et%20al.,%202012.pdf}
    }
  • E. Bonawitz, T.D. Ullman, A. Gopnik, J. B. Tenenbaum:
    Sticking to the evidence? A computational and behavioral case study of micro-theory change in the domain of magnetism (pdf) (bibtex)
    IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)
     #children, #theory learning, #intuitive theories, #magnetism
    @article{E.Bonawitz:2012:e7f24,
    author = {E. Bonawitz and T.D. Ullman and A. Gopnik and J. B. Tenenbaum},
    journal = {IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)},
    title = {Sticking to the evidence? A computational and behavioral case study of micro-theory change in the domain of magnetism},
    year = {2012},
    keywords = {children, theory learning, intuitive theories, magnetism},
    doi = {},
    url = {http://cocosci.berkeley.edu/Liz/BonawitzetalICDL12.pdf}
    }
  • C. E. Freer, D. M. Roy, J. B. Tenenbaum:
    Towards common-sense reasoning via conditional simulation: Legacies of Turing in Artificial Intelligence (web) (bibtex)
    Turing’s Legacy (ASL Lecture Notes in Logic)
     #probabilistic programming, #artificial intelligence, #reasoning, #decision making, #structure learning
    @article{C.E.Freer:2012:ed3e0,
    author = {C. E. Freer and D. M. Roy and J. B. Tenenbaum},
    journal = {Turing’s Legacy (ASL Lecture Notes in Logic)},
    title = {Towards common-sense reasoning via conditional simulation: Legacies of Turing in Artificial Intelligence},
    year = {2012},
    keywords = {probabilistic programming, artificial intelligence, reasoning, decision making, structure learning},
    doi = {},
    url = {http://arxiv.org/abs/1212.4799}
    }
  • T. Gerstenberg, D.A. Lagnado:
    When contributions make a difference: Explaining order effects in responsibility attributions (pdf) (bibtex)
    Psychonomic Bulletin & Review
     #responsibility attribution, #order effect, #counterfactuals, #causal chain, #causal reasoning, #judgment and decision making, #social cognition
    @article{T.Gerstenberg:2012:ae79a,
    author = {T. Gerstenberg and D.A. Lagnado},
    journal = {Psychonomic Bulletin & Review},
    title = {When contributions make a difference: Explaining order effects in responsibility attributions},
    year = {2012},
    keywords = {responsibility attribution, order effect, counterfactuals, causal chain, causal reasoning, judgment and decision making, social cognition},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/When%20contributions%20make%20a%20difference%20(gerstenberg,%20lagnado,%202012).pdf}
    }
  • J. McCoy, T. D. Ullman, A. Stuhlmueller, T. Gerstenberg, J. B. Tenenbaum:
    Why blame Bob? Probabilistic generative models, counterfactual reasoning, and blame attribution (pdf) (bibtex)
    Proceedings of the Thirty-Fourth Annual Conference of the Cognitive Science Society
     #counterfactuals, #blame attribution, #probabilistic models, #causal reasoning
    @article{J.McCoy:2012:73e9e,
    author = {J. McCoy and T. D. Ullman and A. Stuhlmueller and T. Gerstenberg and J. B. Tenenbaum},
    journal = {Proceedings of the Thirty-Fourth Annual Conference of the Cognitive Science Society},
    title = {Why blame Bob? Probabilistic generative models, counterfactual reasoning, and blame attribution},
    year = {2012},
    keywords = {counterfactuals, blame attribution, probabilistic models, causal reasoning},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/blame-cogsci2012.pdf}
    }

2011

  • Hamrick JB, Battaglia PW, Tenenbaum JB:
    Internal physics models guide probabilistic judgments about object dynamics (pdf) (bibtex)
    33rd Annual Conference of the Cognitive Science Society
     #intuitive physics, #bayesian model
    @article{HamrickJB:2011:c46f3,
    author = {Hamrick JB and Battaglia PW and Tenenbaum JB},
    journal = {33rd Annual Conference of the Cognitive Science Society},
    title = { Internal physics models guide probabilistic judgments about object dynamics},
    year = {2011},
    keywords = {intuitive physics, bayesian model},
    doi = {},
    url = {http://web.mit.edu/~pbatt/www/publications/HamrBattTene11CogSci33.pdf}
    }
  • S. Schaechtele, T. Gerstenberg, D.A. Lagnado:
    Beyond outcomes: The influence of intentions and deception (pdf) (bibtex)
    Proceedings of the 33rd Annual Conference of the Cognitive Science Society
     #intentions, #outcomes, #preferences, #deception, # punishment, #reward, #experimental games
    @article{S.Schaechtele:2011:bd23d,
    author = {S. Schaechtele and T. Gerstenberg and D.A. Lagnado},
    journal = {Proceedings of the 33rd Annual Conference of the Cognitive Science Society},
    title = {Beyond outcomes: The influence of intentions and deception},
    year = {2011},
    keywords = {intentions, outcomes, preferences, deception, punishment, reward, experimental games},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Beyond%20outcomes%20(Schaechtele,%20Gerstenberg,%20Lagnado,%202011).pdf}
    }
  • T. Gerstenberg, A. Ejova, D. A. Lagnado:
    Blame the skilled (pdf) (bibtex)
    Proceedings of the 33rd Annual Conference of the Cognitive Science Society
     #responsibility attribution, #counterfactual thinking, #control, #skil
    @article{T.Gerstenberg:2011:4a264,
    author = {T. Gerstenberg and A. Ejova and D. A. Lagnado},
    journal = {Proceedings of the 33rd Annual Conference of the Cognitive Science Society},
    title = {Blame the skilled},
    year = {2011},
    keywords = {responsibility attribution, counterfactual thinking, control, skil},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Blame%20the%20skilled%20(Gerstenberg,%20Ejova,%20Lagnado,%202011).pdf}
    }
  • I. Hwang, A. Stuhlmueller, N. D. Goodman:
    Inducing Probabilistic Programs by Bayesian Program Merging (web) (bibtex)
    Technical Report. arXiv:1110.5667 [cs.AI]
     #probabilistic programming, #program induction
    @article{I.Hwang:2011:0c73e,
    author = {I. Hwang and A. Stuhlmueller and N. D. Goodman},
    journal = {Technical Report. arXiv:1110.5667 [cs.AI]},
    title = {Inducing Probabilistic Programs by Bayesian Program Merging},
    year = {2011},
    keywords = {probabilistic programming, program induction},
    doi = {},
    url = {http://arxiv.org/abs/1110.5667}
    }
  • J Jara-Ettinger, C. Baker, J. Tenenbaum:
    Learning What is Where From Social Observations (pdf) (bibtex)
    Proceedings of the 34th Annual Conference of the Cognitive Science Society
     #social cognition, #theory of mind
    @article{JJara-Ettinger:2011:7559f,
    author = {J Jara-Ettinger and C. Baker and J. Tenenbaum},
    journal = {Proceedings of the 34th Annual Conference of the Cognitive Science Society},
    title = {Learning What is Where From Social Observations},
    year = {2011},
    keywords = {social cognition, theory of mind},
    doi = {},
    url = {http://web.mit.edu/jjara/www/docs/jaraettcogsci2012.pdf}
    }
  • N. D. Goodman, T. D. Ullman, and J. B. Tenenbaum:
    Learning a theory of causality (pdf) (bibtex)
    Psychological review
     #causality, #theory learning, #causal networks
    @article{N.D.Goodman:2011:7e2b8,
    author = {N. D. Goodman and T. D. Ullman and and J. B. Tenenbaum},
    journal = {Psychological review},
    title = {Learning a theory of causality},
    year = {2011},
    keywords = {causality, theory learning, causal networks},
    doi = {},
    url = {http://www.stanford.edu/~ngoodman/papers/LTBC_psychreview_final.pdf}
    }
  • D. Wingate, A. Stuhlmueller, N. D. Goodman:
    Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation (pdf) (bibtex)
    Proceedings of the 14th international conference on Artificial Intelligence and Statistics
     #probabilistic programming, #mcmc, #inference
    @article{D.Wingate:2011:f0689,
    author = {D. Wingate and A. Stuhlmueller and N. D. Goodman},
    journal = {Proceedings of the 14th international conference on Artificial Intelligence and Statistics},
    title = {Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation},
    year = {2011},
    keywords = {probabilistic programming, mcmc, inference},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/lightweight-mcmc-aistats2011.pdf}
    }
  • D. Wingate, N. D. Goodman, A. Stuhlmueller, J. M. Siskind:
    Nonstandard Interpretations of Probabilistic Programs for Efficient Inference (pdf) (bibtex)
    Advances in Neural Information Processing Systems (NIPS) 24
     #probabilistic programming, #inference
    @article{D.Wingate:2011:ac593,
    author = {D. Wingate and N. D. Goodman and A. Stuhlmueller and J. M. Siskind},
    journal = {Advances in Neural Information Processing Systems (NIPS) 24},
    title = {Nonstandard Interpretations of Probabilistic Programs for Efficient Inference},
    year = {2011},
    keywords = {probabilistic programming, inference},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/nonstandard-interpretations-nips2011.pdf}
    }
  • T. Gerstenberg, N.D. Goodman:
    Ping Pong in Church: Productive use of concepts in human probabilistic inference (pdf) (bibtex)
    Proceedings of the 34th Annual Conference of the Cognitive Science Society
     #inference, #reasoning, #causality, #language of thought, #probabilistic programming
    @article{T.Gerstenberg:2011:ac923,
    author = {T. Gerstenberg and N.D. Goodman},
    journal = {Proceedings of the 34th Annual Conference of the Cognitive Science Society},
    title = {Ping Pong in Church: Productive use of concepts in human probabilistic inference},
    year = {2011},
    keywords = {inference, reasoning, causality, language of thought, probabilistic programming},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Ping%20Pong%20in%20Church%20Productive%20use%20of%20concepts%20in%20human%20probabilistic%20inference,%20Gerstenberg,%20Goodman,%202012.pdf}
    }
  • T. Gerstenberg, D.A. Lagnado, M. Speekenbrink, C. Cheung:
    Rational order effects in responsibility attributions (pdf) (bibtex)
    Proceedings of the 33rd Annual Conference of the Cognitive Science Society
     #responsibility attribution, #causal chain, #order effect
    @article{T.Gerstenberg:2011:11386,
    author = {T. Gerstenberg and D.A. Lagnado and M. Speekenbrink and C. Cheung},
    journal = {Proceedings of the 33rd Annual Conference of the Cognitive Science Society},
    title = {Rational order effects in responsibility attributions},
    year = {2011},
    keywords = {responsibility attribution, causal chain, order effect},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Rational%20order%20effects%20(Gerstenberg,%20Lagnado,%20Speekenbrink,%20Cheung,%202011).pdf}
    }

2010

  • S. T. Piantadosi, N. D. Goodman, J. B. Tenenbaum:
    Beyond Boolean Logic: Exploring Representation Languages for Learning Complex Concepts (pdf) (bibtex)
    Proceedings of the 32nd Cognitive Science Conference
     #concept learning, #language
    @article{S.T.Piantadosi:2010:298f2,
    author = {S. T. Piantadosi and N. D. Goodman and J. B. Tenenbaum},
    journal = {Proceedings of the 32nd Cognitive Science Conference},
    title = {Beyond Boolean Logic: Exploring Representation Languages for Learning Complex Concepts},
    year = {2010},
    keywords = {concept learning, language},
    doi = {},
    url = {http://web.mit.edu/piantado/www/papers/PiantadosiTenenbaumGoodman2010-CogsciFINAL.pdf}
    }
  • B. M. Lake, J. B. Tenenbaum:
    Discovering structure by learning sparse graphs (pdf) (bibtex)
    Proceedings of the 32nd Cognitive Science Conference
     #structure discovery, #semantic cognition, #unsupervised learning
    @article{B.M.Lake:2010:9f55c,
    author = {B. M. Lake and J. B. Tenenbaum},
    journal = {Proceedings of the 32nd Cognitive Science Conference},
    title = {Discovering structure by learning sparse graphs},
    year = {2010},
    keywords = {structure discovery, semantic cognition, unsupervised learning},
    doi = {},
    url = {http://web.mit.edu/brenden/www/LakeTenenbaum09CogSci.pdf}
    }
  • T.D. Ullman, C.L. Baker, O. Macindoe, O. Evans, N.D. Goodman, J.B. Tenenbaum:
    Help or hinder: Bayesian models of social goal inference (pdf) (bibtex)
    Advances in Neural Information Processing Systems
     #morality
    @article{T.D.Ullman:2010:0d18c,
    author = {T.D. Ullman and C.L. Baker and O. Macindoe and O. Evans and N.D. Goodman and J.B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems},
    title = {Help or hinder: Bayesian models of social goal inference},
    year = {2010},
    keywords = {morality},
    doi = {},
    url = {http://web.mit.edu/clbaker/www/papers/nips2010.pdf}
    }
  • A. Stuhlmueller, J. B. Tenenbaum, N. D. Goodman:
    Learning Structured Generative Concepts (pdf) (bibtex)
    Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society
     #concepts
    @article{A.Stuhlmueller:2010:6d11a,
    author = {A. Stuhlmueller and J. B. Tenenbaum and N. D. Goodman},
    journal = {Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society},
    title = {Learning Structured Generative Concepts},
    year = {2010},
    keywords = {concepts},
    doi = {},
    url = {http://www.mit.edu/~ast/papers/structured-generative-concepts-cogsci2010.pdf}
    }
  • B. Meder, T. Gerstenberg, Y. Hagmayer, M. Waldmann:
    Observing and intervening: Rational and heuristic models of causal decision making (pdf) (bibtex)
    The Open Psychology Journal
     #causal reasoning, #causal decision making, #bayesian networks, #rational inference, #bounded rationality, #heuristics, # computer simulation
    @article{B.Meder:2010:812bb,
    author = {B. Meder and T. Gerstenberg and Y. Hagmayer and M. Waldmann},
    journal = {The Open Psychology Journal},
    title = {Observing and intervening: Rational and heuristic models of causal decision making},
    year = {2010},
    keywords = {causal reasoning, causal decision making, bayesian networks, rational inference, bounded rationality, heuristics, computer simulation},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Observing%20and%20Intervening%20(Meder,%20Gerstenberg,%20Hagmayer,%20Waldmann,%202010).pdf}
    }
  • J. Eastep, D. Wingate, M. D. Santambrogio, A. Agarwal:
    Smartlocks: Lock Acquisition Scheduling for Self-Aware Synchronization (pdf) (bibtex)
    IEEE International Conference on Autonomic Computing and Communications
     #mutex, #reinforcement learning, #adaptive
    @article{J.Eastep:2010:75b1e,
    author = {J. Eastep and D. Wingate and M. D. Santambrogio and A. Agarwal},
    journal = {IEEE International Conference on Autonomic Computing and Communications},
    title = {Smartlocks: Lock Acquisition Scheduling for Self-Aware Synchronization },
    year = {2010},
    keywords = {mutex, reinforcement learning, adaptive},
    doi = {},
    url = {http://web.mit.edu/~wingated/www/papers/icac10.pdf}
    }
  • T. Gerstenberg, D.A. Lagnado:
    Spreading the blame: The allocation of responsibility amongst multiple agents (pdf) (bibtex)
    Cognition
     #collective responsibility, #attribution, #counterfactual reasoning, #causal models, #experimental games
    @article{T.Gerstenberg:2010:cbfa3,
    author = {T. Gerstenberg and D.A. Lagnado},
    journal = {Cognition},
    title = {Spreading the blame: The allocation of responsibility amongst multiple agents},
    year = {2010},
    keywords = {collective responsibility, attribution, counterfactual reasoning, causal models, experimental games},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/Spreading%20the%20blame%20(Gerstenberg,%20Lagnado,%202010).pdf}
    }
  • T. Gerstenberg, D.A. Lagnado, Y. Kareev:
    The dice are cast: The role of intended versus actual contributions in responsibility attribution (pdf) (bibtex)
    Proceedings of the 32nd Annual Conference of the Cognitive Science Society
     #responsibility, #attribution, #intentionality, #outcome bias, #experimental game
    @article{T.Gerstenberg:2010:5f8d9,
    author = {T. Gerstenberg and D.A. Lagnado and Y. Kareev},
    journal = {Proceedings of the 32nd Annual Conference of the Cognitive Science Society},
    title = {The dice are cast: The role of intended versus actual contributions in responsibility attribution},
    year = {2010},
    keywords = {responsibility, attribution, intentionality, outcome bias, experimental game},
    doi = {},
    url = {http://web.mit.edu/tger/www/papers/The%20Dice%20are%20Cast%20(Gerstenberg,%20Lagnado,%20Kareev,%202010).pdf}
    }
  • T. D. Ullman, N. D. Goodman and J. B. Tenenbaum:
    Theory acquisition as stochastic search (pdf) (bibtex)
    Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society
     #theory learning, #intuitive theories, #development, #mcmc
    @article{T.D.Ullman:2010:08551,
    author = {T. D. Ullman and N. D. Goodman and J. B. Tenenbaum},
    journal = {Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society},
    title = {Theory acquisition as stochastic search},
    year = {2010},
    keywords = {theory learning, intuitive theories, development, mcmc},
    doi = {},
    url = {http://web.mit.edu/tomeru/www/papers/tlss2010.pdf}
    }
  • A. F. Perfors, E. Wonnacott, J.B. Tenenbaum:
    Variability, negative evidence, and the acquisition of verb argument constructions (pdf) (bibtex)
    Journal of Child Language
     #language
    @article{A.F.Perfors:2010:a48c0,
    author = {A. F. Perfors and E. Wonnacott and J.B. Tenenbaum},
    journal = {Journal of Child Language},
    title = {Variability, negative evidence, and the acquisition of verb argument constructions},
    year = {2010},
    keywords = {language},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/vcpaper-forweb-finaldec09.pdf}
    }
  • C. E. Freer, V. K. Mansinghka, D. M. Roy:
    When are probabilistic programs probably computationally tractable? (pdf) (bibtex)
    NIPS Workshop on Monte Carlo Methods for Modern Applications
     #probabilistic programming
    @article{C.E.Freer:2010:f8bd8,
    author = {C. E. Freer and V. K. Mansinghka and D. M. Roy},
    journal = {NIPS Workshop on Monte Carlo Methods for Modern Applications},
    title = {When are probabilistic programs probably computationally tractable? },
    year = {2010},
    keywords = {probabilistic programming},
    doi = {},
    url = {http://danroy.org/papers/FreerManRoy-NIPSMC-2010.pdf}
    }

2009

  • J. Asmuth, L. Li, M. L. Littman, A. Nouri and D. Wingate:
    A Bayesian Sampling Approach to Exploration in Reinforcement Learning (pdf) (bibtex)
    Uncertainty in Artificial Intelligence
     #bayesian, #sampling, #reinforcement learning
    @article{J.Asmuth:2009:0134d,
    author = {J. Asmuth and L. Li and M. L. Littman and A. Nouri and D. Wingate},
    journal = {Uncertainty in Artificial Intelligence},
    title = {A Bayesian Sampling Approach to Exploration in Reinforcement Learning },
    year = {2009},
    keywords = {bayesian, sampling, reinforcement learning},
    doi = {},
    url = {http://web.mit.edu/~wingated/www/papers/boss.pdf}
    }
  • C. L. Baker, R. Saxe, J. B. Tenenbaum:
    Action understanding as inverse planning (pdf) (bibtex)
    Cognition
     #action understanding, #goal inference, #theory of mind, #inverse reinforcement learning
    @article{C.L.Baker:2009:bfb25,
    author = {C. L. Baker and R. Saxe and J. B. Tenenbaum},
    journal = {Cognition},
    title = {Action understanding as inverse planning},
    year = {2009},
    keywords = {action understanding, goal inference, theory of mind, inverse reinforcement learning},
    doi = {},
    url = {http://web.mit.edu/clbaker/www/papers/cognition2009.pdf}
    }
  • C. E. Freer, D. M. Roy:
    Computable exchangeable sequences have computable de Finetti measures (pdf) (doi) (bibtex)
    Computability in Europe (CiE)
     #de finetti, #exchangeability, #computable probability theory, #probabilistic programming, #mutation
    @article{C.E.Freer:2009:e8caa,
    author = {C. E. Freer and D. M. Roy},
    journal = {Computability in Europe (CiE)},
    title = {Computable exchangeable sequences have computable de Finetti measures},
    year = {2009},
    keywords = {de finetti, exchangeability, computable probability theory, probabilistic programming, mutation},
    doi = {10.1007/978-3-642-03073-4_23},
    url = {http://danroy.org/papers/FreerRoy-CIE-2009.pdf}
    }
  • V. K. Mansinghka, D. M. Roy, E. Jonas, J. B. Tenenbaum:
    Exact and approximate sampling by systematic stochastic search (pdf) (bibtex)
    AISTATS 2009
     #inference
    @article{V.K.Mansinghka:2009:9e63d,
    author = {V. K. Mansinghka and D. M. Roy and E. Jonas and J. B. Tenenbaum},
    journal = {AISTATS 2009},
    title = {Exact and approximate sampling by systematic stochastic search},
    year = {2009},
    keywords = {inference},
    doi = {},
    url = {http://danroy.org/papers/ManRoyJonTen-AISTATS-2009.pdf}
    }
  • N. D. Goodman, T. D. Ullman, and J. B. Tenenbaum:
    Learning a theory of causality (pdf) (bibtex)
    Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society
     #causality, #theory learning, #causal networks
    @article{N.D.Goodman:2009:c52b4,
    author = {N. D. Goodman and T. D. Ullman and and J. B. Tenenbaum},
    journal = {Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society},
    title = {Learning a theory of causality},
    year = {2009},
    keywords = {causality, theory learning, causal networks},
    doi = {},
    url = {http://www.stanford.edu/~ngoodman/papers/LTBC_v2.pdf}
    }
  • C. Kemp, J. B. Tenenbaum:
    Structured statistical models of inductive reasoning (pdf) (bibtex)
    Psychological Review
     #inductive reasoning
    @article{C.Kemp:2009:098d8,
    author = {C. Kemp and J. B. Tenenbaum},
    journal = {Psychological Review},
    title = {Structured statistical models of inductive reasoning},
    year = {2009},
    keywords = {inductive reasoning},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/struct-stat-inpress.pdf}
    }
  • D. Wingate, N. D. Goodman, D. M. Roy and J. B. Tenenbaum:
    The Infinite Latent Events Model (pdf) (bibtex)
    Uncertainty in Artificial Intelligence
     #bayesian nonparametrics, #infinite, #dynamical system
    @article{D.Wingate:2009:566a9,
    author = {D. Wingate and N. D. Goodman and D. M. Roy and J. B. Tenenbaum},
    journal = {Uncertainty in Artificial Intelligence},
    title = {The Infinite Latent Events Model },
    year = {2009},
    keywords = {bayesian nonparametrics, infinite, dynamical system},
    doi = {},
    url = {http://web.mit.edu/~wingated/www/papers/ilem.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Theory-based causal induction (pdf) (bibtex)
    Psychological Review
     #causality
    @article{T.L.Griffiths:2009:7bcd8,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Psychological Review},
    title = {Theory-based causal induction},
    year = {2009},
    keywords = {causality},
    doi = {},
    url = {http://cocosci.berkeley.edu/tom/papers/tbci.pdf}
    }
  • M. C. Frank, N. D. Goodman, J. B. Tenenbaum:
    Using speakers’ referential intentions to model early cross-situational word learning (pdf) (bibtex)
    Psychological Science XX
     #language
    @article{M.C.Frank:2009:06462,
    author = {M. C. Frank and N. D. Goodman and J. B. Tenenbaum},
    journal = {Psychological Science XX},
    title = {Using speakers’ referential intentions to model early cross-situational word learning},
    year = {2009},
    keywords = {language},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/FGT-PsychScience.pdf}
    }

2008

  • M. C. Frank, N. D. Goodman, J. B. Tenenbaum:
    A Bayesian framework for cross-situational word-learning (pdf) (bibtex)
    Advances in Neural Information Processing Systems 20
     #language
    @article{M.C.Frank:2008:08550,
    author = {M. C. Frank and N. D. Goodman and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 20},
    title = {A Bayesian framework for cross-situational word-learning},
    year = {2008},
    keywords = {language},
    doi = {},
    url = {http://tedlab.mit.edu/~mcfrank/papers/frank-nips-2007.pdf}
    }
  • N. D. Goodman, J. B. Tenenbaum, J. Feldman, T. L. Griffiths:
    A rational analysis of rule-based concept learning (pdf) (bibtex)
    Cognitive Science
     #concepts, #language of thought
    @article{N.D.Goodman:2008:fb22c,
    author = {N. D. Goodman and J. B. Tenenbaum and J. Feldman and T. L. Griffiths},
    journal = {Cognitive Science},
    title = {A rational analysis of rule-based concept learning},
    year = {2008},
    keywords = {concepts, language of thought},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/RRfinal3.pdf}
    }
  • T. L. Griffiths, C. Kemp, J. B. Tenenbaum:
    Bayesian models of cognition (pdf) (bibtex)
    Cambridge Handbook of Computational Cognitive Modeling
     #chapter
    @article{T.L.Griffiths:2008:dd194,
    author = {T. L. Griffiths and C. Kemp and J. B. Tenenbaum},
    journal = {Cambridge Handbook of Computational Cognitive Modeling},
    title = {Bayesian models of cognition},
    year = {2008},
    keywords = {chapter},
    doi = {},
    url = {http://cocosci.berkeley.edu/tom/papers/bayeschapter.pdf}
    }
  • N. D. Goodman, V. K. Mansinghka, D. M. Roy, K. Bonawitz, J. B. Tenenbaum:
    Church: a language for generative models (pdf) (bibtex)
    Uncertainty in Artificial Intelligence 2008
     #church, #probabilistic programming, #generative models
    @article{N.D.Goodman:2008:f5d3f,
    author = {N. D. Goodman and V. K. Mansinghka and D. M. Roy and K. Bonawitz and J. B. Tenenbaum},
    journal = {Uncertainty in Artificial Intelligence 2008},
    title = {Church: a language for generative models},
    year = {2008},
    keywords = {church, probabilistic programming, generative models},
    doi = {},
    url = {http://danroy.org/papers/church_GooManRoyBonTen-UAI-2008.pdf}
    }
  • P. Shafto, C. Kemp, E. R. Baraff, J. Coley, J. B. Tenenbaum:
    Inductive reasoning about causally transmitted properties (pdf) (bibtex)
    Cognition
     #property induction, #inductive reasoning
    @article{P.Shafto:2008:49ac6,
    author = {P. Shafto and C. Kemp and E. R. Baraff and J. Coley and J. B. Tenenbaum},
    journal = {Cognition},
    title = {Inductive reasoning about causally transmitted properties},
    year = {2008},
    keywords = {property induction, inductive reasoning},
    doi = {},
    url = {http://louisville.edu/psychology/shafto/files/shaftoetal08.pdf}
    }
  • C. Kemp, N. D. Goodman, J. B. Tenenbaum:
    Learning and using relational theories (pdf) (bibtex)
    Advances in Neural Information Processing Systems 20
     #theories, #language of thought
    @article{C.Kemp:2008:bc9fb,
    author = {C. Kemp and N. D. Goodman and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 20},
    title = {Learning and using relational theories},
    year = {2008},
    keywords = {theories, language of thought},
    doi = {},
    url = {http://www.psy.cmu.edu/~ckemp/papers/kempgt07_paper.pdf}
    }
  • C. Kemp, J. B. Tenenbaum:
    The discovery of structural form (pdf) (bibtex)
    Proceedings of the National Academy of Sciences
     #cognitive development, #structure discovery, #unsupervised learning
    @article{C.Kemp:2008:eeacc,
    author = {C. Kemp and J. B. Tenenbaum},
    journal = {Proceedings of the National Academy of Sciences},
    title = {The discovery of structural form},
    year = {2008},
    keywords = {cognitive development, structure discovery, unsupervised learning},
    doi = {},
    url = {http://www.psy.cmu.edu/~ckemp/papers/kempt08.pdf}
    }
  • C.L. Baker, N.D. Goodman, J.B. Tenenbaum:
    Theory-based social goal inference (pdf) (bibtex)
    Proceedings of the Thirtieth Annual Conference of the Cognitive Science Society
     #social cognition, #theory of mind, #action understanding, #goal inference, #inverse planning
    @article{C.L.Baker:2008:34d8a,
    author = {C.L. Baker and N.D. Goodman and J.B. Tenenbaum},
    journal = {Proceedings of the Thirtieth Annual Conference of the Cognitive Science Society},
    title = {Theory-based social goal inference},
    year = {2008},
    keywords = {social cognition, theory of mind, action understanding, goal inference, inverse planning},
    doi = {},
    url = {http://web.mit.edu/clbaker/www/papers/cogsci2008.pdf}
    }

2007

  • N. D. Goodman, T. L. Griffiths, J. Feldman, J. B. Tenenbaum:
    A rational analysis of rule-based concept learning (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
     #concepts, #categorization
    @article{N.D.Goodman:2007:fb1d0,
    author = {N. D. Goodman and T. L. Griffiths and J. Feldman and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {A rational analysis of rule-based concept learning},
    year = {2007},
    keywords = {concepts, categorization},
    doi = {},
    url = {http://www.mit.edu/~ndg/papers/op322-goodman.pdf}
    }
  • V. K. Mansinghka, D. M. Roy, R. Rifkin, J. B. Tenenbaum:
    AClass: An online algorithm for generative classification (pdf) (bibtex)
    Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS07)
     #classification, #dirichlet process mixture, #particle filter
    @article{V.K.Mansinghka:2007:f870b,
    author = {V. K. Mansinghka and D. M. Roy and R. Rifkin and J. B. Tenenbaum},
    journal = {Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS07)},
    title = {AClass: An online algorithm for generative classification},
    year = {2007},
    keywords = {classification, dirichlet process mixture, particle filter},
    doi = {},
    url = {http://danroy.org/papers/ManRoyRifTen-AISTATS-2007.pdf}
    }
  • A. Gopnik, J. B. Tenenbaum:
    Bayesian networks, Bayesian learning, and cognitive development (pdf) (bibtex)
    Developmental Science 10
    @article{A.Gopnik:2007:27691,
    author = {A. Gopnik and J. B. Tenenbaum},
    journal = {Developmental Science 10},
    title = {Bayesian networks, Bayesian learning, and cognitive development},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/devsci07_gopnik_tenenbaum.pdf}
    }
  • K. P. Kording, U. Beierholm, W. J. Ma, S. Quartz, J. B. Tenenbaum, L. Shams:
    Causal inference in multisensory perception (web) (bibtex)
    PLoS ONE
    @article{K.P.Kording:2007:5eaab,
    author = {K. P. Kording and U. Beierholm and W. J. Ma and S. Quartz and J. B. Tenenbaum and L. Shams},
    journal = {PLoS ONE},
    title = {Causal inference in multisensory perception},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://dx.plos.org/10.1371/journal.pone.0000943}
    }
  • K. Kording, J. B. Tenenbaum:
    Causal inference in sensorimotor integration. (pdf) (bibtex)
    Advances in Neural Information Processing Systems 19
    @article{K.Kording:2007:90056,
    author = {K. Kording and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 19},
    title = {Causal inference in sensorimotor integration.},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/na.pdf}
    }
  • C. Kemp, P. Shafto, A. Berke, J. B. Tenenbaum:
    Combining causal and similarity-based reasoning (pdf) (bibtex)
    Advances in Neural Information Processing Systems 19
    @article{C.Kemp:2007:4d1d8,
    author = {C. Kemp and P. Shafto and A. Berke and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 19},
    title = {Combining causal and similarity-based reasoning},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/~ckemp/www/papers/KempSBT.pdf}
    }
  • V. Savova, D. M. Roy, L. Schmidt, J. B. Tenenbaum:
    Discovering syntactic hierarchies (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
     #annotated hierarchies, #stochastic blockmodels
    @article{V.Savova:2007:ff9bc,
    author = {V. Savova and D. M. Roy and L. Schmidt and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Discovering syntactic hierarchies},
    year = {2007},
    keywords = {annotated hierarchies, stochastic blockmodels},
    doi = {},
    url = {http://danroy.org/papers/SavRoySchTen-COGSCI-2007.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    From mere coincidences to meaningful discoveries (pdf) (bibtex)
    Cognition 103
    @article{T.L.Griffiths:2007:30452,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Cognition 103},
    title = {From mere coincidences to meaningful discoveries},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/coincidences5.pdf}
    }
  • C. L. Baker, J. B. Tenenbaum, R. Saxe:
    Goal inference as inverse planning (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
     #social cognition
    @article{C.L.Baker:2007:a653b,
    author = {C. L. Baker and J. B. Tenenbaum and R. Saxe},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Goal inference as inverse planning},
    year = {2007},
    keywords = {social cognition},
    doi = {},
    url = {http://web.mit.edu/clbaker/www/papers/cogsci2007.pdf}
    }
  • J. B. Tenenbaum, T. L. Griffiths, S. Niyogi:
    Intuitive theories as grammars for causal inference (pdf) (bibtex)
    Causal learning: Psychology, philosophy, and computation.
     #causality
    @article{J.B.Tenenbaum:2007:e64ed,
    author = {J. B. Tenenbaum and T. L. Griffiths and S. Niyogi},
    journal = {Causal learning: Psychology, philosophy, and computation.},
    title = {Intuitive theories as grammars for causal inference},
    year = {2007},
    keywords = {causality},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/tgn-grammar.pdf}
    }
  • D. M. Roy, C. Kemp, V. K. Mansinghka, J. B. Tenenbaum:
    Learning annotated hierarchies from relational data (pdf) (bibtex)
    Advances in Neural Information Processing Systems 19
     #stochastic blockmodels, #annotated hierarchies, #hierachical
    @article{D.M.Roy:2007:273ef,
    author = {D. M. Roy and C. Kemp and V. K. Mansinghka and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 19},
    title = {Learning annotated hierarchies from relational data},
    year = {2007},
    keywords = {stochastic blockmodels, annotated hierarchies, hierachical},
    doi = {},
    url = {http://danroy.org/papers/RoyKemManTen-NIPS-2007.pdf}
    }
  • C. Kemp, N. D. Goodman, J. B. Tenenbaum:
    Learning causal schemata (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
    @article{C.Kemp:2007:4607e,
    author = {C. Kemp and N. D. Goodman and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Learning causal schemata},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://www.mit.edu/~ndg/papers/KempGT07.pdf}
    }
  • N. D. Goodman, V. K. Mansignhka, J. B. Tenenbaum:
    Learning grounded causal models (pdf) (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
    @article{N.D.Goodman:2007:522c6,
    author = {N. D. Goodman and V. K. Mansignhka and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Learning grounded causal models},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://www.mit.edu/~ndg/papers/op510-goodman.pdf}
    }
  • C. Kemp, A. Perfors, J. B. Tenenbaum:
    Learning overhypotheses with hierarchical Bayesian models (pdf) (bibtex)
    Developmental Science 10
    @article{C.Kemp:2007:ade21,
    author = {C. Kemp and A. Perfors and J. B. Tenenbaum},
    journal = {Developmental Science 10},
    title = {Learning overhypotheses with hierarchical Bayesian models},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/devsci07_kempetal.pdf}
    }
  • M. Frank, S. Goldwater, T. L. Griffiths, V. K. Mansinghka, J. B. Tenenbaum:
    Modeling human performance in statistical word segmentation (bibtex)
    Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society
    @article{M.Frank:2007:0937b,
    author = {M. Frank and S. Goldwater and T. L. Griffiths and V. K. Mansinghka and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society},
    title = {Modeling human performance in statistical word segmentation},
    year = {2007},
    keywords = {},
    doi = {},
    url = {}
    }
  • K. Kording, J. B. Tenenbaum, R. Shadmehr:
    Multiple timescales and uncertainty in motor adaptation. (pdf) (bibtex)
    Advances in Neural Information Processing Systems 19
    @article{K.Kording:2007:fc8fe,
    author = {K. Kording and J. B. Tenenbaum and R. Shadmehr},
    journal = {Advances in Neural Information Processing Systems 19},
    title = {Multiple timescales and uncertainty in motor adaptation.},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/na.pdf}
    }
  • T. Iwata, K. Saito, N. Ueda, S. Stromsten, T. L. Griffiths, J. B. Tenenbaum:
    Parametric embedding for class visualization (pdf) (bibtex)
    Neural Computation 19
    @article{T.Iwata:2007:cf4a0,
    author = {T. Iwata and K. Saito and N. Ueda and S. Stromsten and T. L. Griffiths and J. B. Tenenbaum},
    journal = {Neural Computation 19},
    title = {Parametric embedding for class visualization},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/pe060912.pdf}
    }
  • F. Xu, J. B. Tenenbaum:
    Sensitivity to sampling in Bayesian word learning (pdf) (bibtex)
    Developmental Science 10
    @article{F.Xu:2007:034cd,
    author = {F. Xu and J. B. Tenenbaum},
    journal = {Developmental Science 10},
    title = {Sensitivity to sampling in Bayesian word learning},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/devsci07_xu_tenenbaum.pdf}
    }
  • K. P. Kording, J. B. Tenenbaum, R. Shadmehr:
    The dynamics of memory are a consequence of optimal adaptation to a changing body (pdf) (bibtex)
    Nature Neuroscience 10
    @article{K.P.Kording:2007:eb657,
    author = {K. P. Kording and J. B. Tenenbaum and R. Shadmehr},
    journal = {Nature Neuroscience 10},
    title = {The dynamics of memory are a consequence of optimal adaptation to a changing body},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/Kording-Tenenbaum-Shadmehr-07.pdf}
    }
  • T. R. Krynski, J. B. Tenenbaum:
    The role of causality in judgment under uncertainty (pdf) (bibtex)
    Journal of Experimental Psychology: General 136
    @article{T.R.Krynski:2007:33389,
    author = {T. R. Krynski and J. B. Tenenbaum},
    journal = {Journal of Experimental Psychology: General 136},
    title = {The role of causality in judgment under uncertainty},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/krynski-tenenbaum-jepgen07.pdf}
    }
  • J. B. Tenenbaum, C. Kemp, P. Shafto:
    Theory-based Bayesian models of inductive reasoning (pdf) (bibtex)
    Inductive reasoning.
    @article{J.B.Tenenbaum:2007:7d016,
    author = {J. B. Tenenbaum and C. Kemp and P. Shafto},
    journal = {Inductive reasoning.},
    title = {Theory-based Bayesian models of inductive reasoning},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/tenenbaum-kemp-shafto-final.pdf}
    }
  • T. L. Griffiths, M. Steyvers, J. B. Tenenbaum:
    Topics in semantic representation (pdf) (bibtex)
    Psychological Review 114
    @article{T.L.Griffiths:2007:7e3d8,
    author = {T. L. Griffiths and M. Steyvers and J. B. Tenenbaum},
    journal = {Psychological Review 114},
    title = {Topics in semantic representation},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/topics15.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Two proposals for causal grammars (pdf) (bibtex)
    Causal learning: Psychology, philosophy, and computation.
    @article{T.L.Griffiths:2007:1edca,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Causal learning: Psychology, philosophy, and computation.},
    title = {Two proposals for causal grammars},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/gt-grammar.pdf}
    }
  • F. Xu, J. B. Tenenbaum:
    Word learning as Bayesian inference (pdf) (bibtex)
    Psychological Review 114
    @article{F.Xu:2007:6a865,
    author = {F. Xu and J. B. Tenenbaum},
    journal = {Psychological Review 114},
    title = {Word learning as Bayesian inference},
    year = {2007},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/XT-PsychRev-InPress.pdf}
    }

2006

  • C. L. Baker, J. B. Tenenbaum, R. Saxe:
    Bayesian models of human action understanding (pdf) (bibtex)
    Advances in Neural Information Processing Systems 18
     #social cognition
    @article{C.L.Baker:2006:86902,
    author = {C. L. Baker and J. B. Tenenbaum and R. Saxe},
    journal = {Advances in Neural Information Processing Systems 18},
    title = {Bayesian models of human action understanding},
    year = {2006},
    keywords = {social cognition},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips05-clb-jbt-rrs-final.pdf}
    }
  • N. D. Goodman, C. L. Baker, E. B. Bonawitz, V. K Mansinghka, A. Gopnik, H. Wellman, L. Schulz, J. B. Tenenbaum:
    Intuitive theories of mind: A rational approach to false belief (pdf) (bibtex)
    Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society
     #social cognition
    @article{N.D.Goodman:2006:a0079,
    author = {N. D. Goodman and C. L. Baker and E. B. Bonawitz and V. K Mansinghka and A. Gopnik and H. Wellman and L. Schulz and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society},
    title = {Intuitive theories of mind: A rational approach to false belief},
    year = {2006},
    keywords = {social cognition},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/pos785-goodman.pdf}
    }
  • P. Shafto, C. Kemp, V. Mansignhka, M. Gordon, J. B. Tenenbaum:
    Learning cross-cutting systems of categories. (pdf) (bibtex)
    Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society
    @article{P.Shafto:2006:de72c,
    author = {P. Shafto and C. Kemp and V. Mansignhka and M. Gordon and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society},
    title = {Learning cross-cutting systems of categories.},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/shafto_etal_cogsci06.pdf}
    }
  • C. Kemp, A. Perfors, J. B. Tenenbaum:
    Learning overhypotheses. (pdf) (bibtex)
    Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society
    @article{C.Kemp:2006:287b7,
    author = {C. Kemp and A. Perfors and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society},
    title = {Learning overhypotheses.},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/KempPerforsTenenbaum06.pdf}
    }
  • C. Kemp, J. B. Tenenbaum, T. L. Griffiths, T. Yamada, N. Ueda:
    Learning systems of concepts with an infinite relational model. (pdf) (bibtex)
    Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06)
    @article{C.Kemp:2006:53fd9,
    author = {C. Kemp and J. B. Tenenbaum and T. L. Griffiths and T. Yamada and N. Ueda},
    journal = {Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06)},
    title = {Learning systems of concepts with an infinite relational model.},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/Kemp-etal-AAAI06.pdf}
    }
  • L. A. Schmidt, C. Kemp, J. B. Tenenbaum:
    Nonsense and sensibility: Inferring unseen possibilities. (pdf) (bibtex)
    Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society
    @article{L.A.Schmidt:2006:eaf9a,
    author = {L. A. Schmidt and C. Kemp and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society},
    title = {Nonsense and sensibility: Inferring unseen possibilities.},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/SchmidtKempTenenbaum06.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Optimal predictions in everyday cognition (pdf) (bibtex)
    Psychological Science 17
    @article{T.L.Griffiths:2006:70081,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Psychological Science 17},
    title = {Optimal predictions in everyday cognition},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/Griffiths-Tenenbaum-PsychSci06.pdf}
    }
  • A. Perfors, T. Regier, Tenenbaum, J. B.:
    Poverty of the Stimulus? A rational approach. (pdf) (bibtex)
    Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society
    @article{A.Perfors:2006:1568b,
    author = {A. Perfors and T. Regier and Tenenbaum and J. B.},
    journal = {Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society},
    title = {Poverty of the Stimulus? A rational approach.},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/PerforsTenenbaumRegier06.pdf}
    }
  • N. Chater, J. B. Tenenbaum, A. Yuille:
    Probabilistic models of cognition: Conceptual foundations (pdf) (bibtex)
    Trends in Cognitive Sciences, 10
    @article{N.Chater:2006:1f9ca,
    author = {N. Chater and J. B. Tenenbaum and A. Yuille},
    journal = {Trends in Cognitive Sciences, 10},
    title = {Probabilistic models of cognition: Conceptual foundations},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/ChaterTenenbaumYuille-TICS06.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Statistics and the Bayesian mind (pdf) (bibtex)
    Significance 3
    @article{T.L.Griffiths:2006:4b2a0,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Significance 3},
    title = {Statistics and the Bayesian mind},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/significance.pdf}
    }
  • V. K. Mansinghka, C. Kemp, J. B. Tenenbaum, T. L. Griffiths:
    Structured priors for structure learning. (pdf) (bibtex)
    Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI 2006)
    @article{V.K.Mansinghka:2006:8d66d,
    author = {V. K. Mansinghka and C. Kemp and J. B. Tenenbaum and T. L. Griffiths},
    journal = {Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI 2006)},
    title = {Structured priors for structure learning.},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://cocosci.berkeley.edu/tom/papers/structure.pdf}
    }
  • J. B. Tenenbaum, T. L. Griffiths, C. Kemp:
    Theory-based Bayesian models of inductive learning and reasoning (pdf) (bibtex)
    Trends in Cognitive Sciences, 10
    @article{J.B.Tenenbaum:2006:619f6,
    author = {J. B. Tenenbaum and T. L. Griffiths and C. Kemp},
    journal = {Trends in Cognitive Sciences, 10},
    title = {Theory-based Bayesian models of inductive learning and reasoning},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/tics-theories-reprint.pdf}
    }
  • M. Purver, K. P. Kording, T. L. Griffiths, J. B. Tenenbaum:
    Unsupervised topic modelling for multi-party spoken discourse (pdf) (bibtex)
    Proceedings of Coling/ACL 2006.
    @article{M.Purver:2006:13efa,
    author = {M. Purver and K. P. Kording and T. L. Griffiths and J. B. Tenenbaum},
    journal = {Proceedings of Coling/ACL 2006.},
    title = {Unsupervised topic modelling for multi-party spoken discourse},
    year = {2006},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/purver-et-al06acl.pdf}
    }

2005

  • C. Kemp, A. Bernstein, J. B. Tenenbaum:
    A generative theory of similarity (pdf) (bibtex)
    Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.
    @article{C.Kemp:2005:ab95b,
    author = {C. Kemp and A. Bernstein and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.},
    title = {A generative theory of similarity},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://www.mit.edu/~ckemp/papers/KempBT05.pdf}
    }
  • P. Shafto, C. Kemp, L. Baraff, J. Coley, J. B. Tenenbaum:
    Context-sensitive induction (pdf) (bibtex)
    Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.
    @article{P.Shafto:2005:148ca,
    author = {P. Shafto and C. Kemp and L. Baraff and J. Coley and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.},
    title = {Context-sensitive induction},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/shaftoetal05.pdf}
    }
  • T. L. Griffiths, M. Steyvers, D. Blei, J. B. Tenenbaum:
    Integrating topics and syntax (pdf) (bibtex)
    Advances in Neural Information Processing Systems 17.
    @article{T.L.Griffiths:2005:261e1,
    author = {T. L. Griffiths and M. Steyvers and D. Blei and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 17.},
    title = {Integrating topics and syntax},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://cocosci.berkeley.edu/tom/papers/composite.pdf}
    }
  • T. Iwata, K. Saito, N. Ueda, S. Stromsten, T. L. Griffiths, J. B. Tenenbaum:
    Parametric Embedding for Class Visualization (pdf) (bibtex)
    Advances in Neural Information Processing Systems 17
    @article{T.Iwata:2005:086e6,
    author = {T. Iwata and K. Saito and N. Ueda and S. Stromsten and T. L. Griffiths and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 17},
    title = {Parametric Embedding for Class Visualization},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips04pe.pdf}
    }
  • R. Saxe, J. B. Tenenbaum, S. Carey:
    Secret agents: inferences about hidden causes by 10- and 12-month-old infants (pdf) (bibtex)
    Psychological Science 16
     #social cognition
    @article{R.Saxe:2005:f22a4,
    author = {R. Saxe and J. B. Tenenbaum and S. Carey},
    journal = {Psychological Science 16},
    title = {Secret agents: inferences about hidden causes by 10- and 12-month-old infants},
    year = {2005},
    keywords = {social cognition},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/secret-agent-05.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Structure and strength in causal induction (pdf) (bibtex)
    Cognitive Psychology 51
    @article{T.L.Griffiths:2005:6f45f,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Cognitive Psychology 51},
    title = {Structure and strength in causal induction},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/structure-strength-reprint.pdf}
    }
  • M. Steyvers, J. B. Tenenbaum:
    The large-scale structure of semantic networks: statistical analyses and a model of semantic growth (pdf) (bibtex)
    Cognitive Science
    @article{M.Steyvers:2005:8e1fc,
    author = {M. Steyvers and J. B. Tenenbaum},
    journal = {Cognitive Science},
    title = {The large-scale structure of semantic networks: statistical analyses and a model of semantic growth},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/03nSteyvers.pdf}
    }
  • F. Xu, J. B. Tenenbaum:
    Word learning as Bayesian inference: Evidence from preschoolers (pdf) (bibtex)
    Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.
    @article{F.Xu:2005:6bccc,
    author = {F. Xu and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society.},
    title = {Word learning as Bayesian inference: Evidence from preschoolers},
    year = {2005},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/f881-XuTenenbaum.pdf}
    }

2004

  • D. Sobel, J. B. Tenenbaum, A. Gopnik:
    Children’s causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers (pdf) (bibtex)
    Cognitive Science
    @article{D.Sobel:2004:68050,
    author = {D. Sobel and J. B. Tenenbaum and A. Gopnik},
    journal = {Cognitive Science},
    title = {Children’s causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/backwards_blocking_2004.pdf}
    }
  • C. Kemp, T. L. Griffiths, J. B. Tenenbaum:
    Discovering latent classes in relational data (pdf) (bibtex)
    MIT AI Memo
    @article{C.Kemp:2004:3640e,
    author = {C. Kemp and T. L. Griffiths and J. B. Tenenbaum},
    journal = {MIT AI Memo},
    title = {Discovering latent classes in relational data},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/~ckemp/www/papers/blockTR.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    From algorithmic to subjective randomness (pdf) (bibtex)
    Advances in Neural Information Processing Systems 16.
    @article{T.L.Griffiths:2004:124b1,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 16.},
    title = {From algorithmic to subjective randomness},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://www-psych.stanford.edu/%7Egruffydd/papers/algrand.pdf}
    }
  • D. Blei, T. L. Griffiths, M. I. Jordan, J. B. Tenenbaum:
    Hierarchical topic models and the nested Chinese restaurant process (pdf) (bibtex)
    Advances in Neural Information Processing Systems 16.
    @article{D.Blei:2004:e3764,
    author = {D. Blei and T. L. Griffiths and M. I. Jordan and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 16.},
    title = {Hierarchical topic models and the nested Chinese restaurant process},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://cog.brown.edu/~gruffydd/papers/ncrp.pdf}
    }
  • C. S. Kemp, A. Perfors, J. B. Tenenbaum:
    Learning domain structures (pdf) (bibtex)
    Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.
    @article{C.S.Kemp:2004:55f3e,
    author = {C. S. Kemp and A. Perfors and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.},
    title = {Learning domain structures},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/mselect-cogsci.pdf}
    }
  • C. Kemp, T. L Griffiths, S. Stromsten, J. B. Tenenbaum:
    Semi-supervised learning with trees (pdf) (bibtex)
    Advances in Neural Information Processing Systems 16.
    @article{C.Kemp:2004:1b63e,
    author = {C. Kemp and T. L Griffiths and S. Stromsten and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 16.},
    title = {Semi-supervised learning with trees},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/~ckemp/www/papers/treessl.pdf}
    }
  • T. L. Griffiths, E. R. Baraff, J. B. Tenenbaum:
    Using physical theories to infer hidden causal structure (pdf) (bibtex)
    Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.
    @article{T.L.Griffiths:2004:063b5,
    author = {T. L. Griffiths and E. R. Baraff and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.},
    title = {Using physical theories to infer hidden causal structure},
    year = {2004},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/hidden-final.pdf}
    }

2003

  • D. Danks, T.L. Griffiths, J. B. Tenenbaum:
    Dynamical causal learning (pdf) (bibtex)
    Advances in Neural Information Processing Systems 15
    @article{D.Danks:2003:33c78,
    author = {D. Danks and T.L. Griffiths and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 15},
    title = {Dynamical causal learning},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/causal3.pdf}
    }
  • M. Steyvers, J. B. Tenenbaum, E. J. Wagenmakers, B. Blum:
    Inferring causal networks from observations and interventions (pdf) (bibtex)
    Cognitive Science
    @article{M.Steyvers:2003:66abf,
    author = {M. Steyvers and J. B. Tenenbaum and E. J. Wagenmakers and B. Blum},
    journal = {Cognitive Science},
    title = {Inferring causal networks from observations and interventions},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/steyvers-etal-2003.pdf}
    }
  • J. B. Tenenbaum, S. Niyogi:
    Learning causal laws (pdf) (bibtex)
    Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.
    @article{J.B.Tenenbaum:2003:5996e,
    author = {J. B. Tenenbaum and S. Niyogi},
    journal = {Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.},
    title = {Learning causal laws},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/cl.pdf}
    }
  • W.T. Freeman, J.B. Tenenbaum, E. Pasztor:
    Learning style translation for the lines of a drawing (pdf) (bibtex)
    ACM Transactions on Graphics
    @article{W.T.Freeman:2003:a429c,
    author = {W.T. Freeman and J.B. Tenenbaum and E. Pasztor},
    journal = {ACM Transactions on Graphics},
    title = {Learning style translation for the lines of a drawing},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/line-drawings-in-press.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Probability, algorithmic complexity, and subjective randomness (pdf) (bibtex)
    Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.
    @article{T.L.Griffiths:2003:63e26,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.},
    title = {Probability, algorithmic complexity, and subjective randomness},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/complex.pdf}
    }
  • T. R. Krynski, J. B. Tenenbaum:
    The role of causal models in reasoning under uncertainty (pdf) (bibtex)
    Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.
    @article{T.R.Krynski:2003:d67aa,
    author = {T. R. Krynski and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.},
    title = {The role of causal models in reasoning under uncertainty},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/KrynskiTenenbaum2003.pdf}
    }
  • J. B. Tenenbaum, T. L. Griffiths:
    Theory-based causal inference (pdf) (bibtex)
    Advances in Neural Information Processing Systems 15
    @article{J.B.Tenenbaum:2003:ecffb,
    author = {J. B. Tenenbaum and T. L. Griffiths},
    journal = {Advances in Neural Information Processing Systems 15},
    title = {Theory-based causal inference},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/theory-final.pdf}
    }
  • C. S. Kemp, J. B. Tenenbaum:
    Theory-based induction (pdf) (bibtex)
    Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.
    @article{C.S.Kemp:2003:1f489,
    author = {C. S. Kemp and J. B. Tenenbaum},
    journal = {Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society.},
    title = {Theory-based induction},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/KempTenenbaum.pdf}
    }
  • J. Sharma, V. Dragoi, J. B. Tenenbaum, E. K. Miller, M. Sur:
    V1 neurons signal acquisition of an internal representation of stimulus location (pdf) (bibtex)
    Science
    @article{J.Sharma:2003:104ea,
    author = {J. Sharma and V. Dragoi and J. B. Tenenbaum and E. K. Miller and M. Sur},
    journal = {Science},
    title = {V1 neurons signal acquisition of an internal representation of stimulus location},
    year = {2003},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/sharma-etal-2003.pdf}
    }

2002

  • N. Sanjana, J. B. Tenenbaum:
    Bayesian models of inductive generalization (pdf) (bibtex)
    Advances in Neural Information Processing Systems 15.
    @article{N.Sanjana:2002:d53e5,
    author = {N. Sanjana and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 15.},
    title = {Bayesian models of inductive generalization},
    year = {2002},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips02-induction-in-press.pdf}
    }
  • V. de Silva, J. B. Tenenbaum:
    Global versus local methods in nonlinear dimensionality reduction (pdf) (bibtex)
    Advances in Neural Information Processing Systems 15.
    @article{V.deSilva:2002:e343b,
    author = {V. de Silva and J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 15.},
    title = {Global versus local methods in nonlinear dimensionality reduction},
    year = {2002},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips02-localglobal-in-press.pdf}
    }
  • M. Balasubramanian, E. L. Shwartz, J. B. Tenenbaum, V. de Silva, J. C. Langford:
    The Isomap Algorithm and Topological Stability (pdf) (bibtex)
    Science
    @article{M.Balasubramanian:2002:0510c,
    author = {M. Balasubramanian and E. L. Shwartz and J. B. Tenenbaum and V. de Silva and J. C. Langford},
    journal = {Science},
    title = {The Isomap Algorithm and Topological Stability},
    year = {2002},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/Balasubramanian-etal-2003.pdf}
    }
  • V. de Silva, J.B. Tenenbaum:
    Unsupervised learning of curved manifolds (pdf) (bibtex)
    Nonlinear Estimation and Classification ,
    @article{V.deSilva:2002:43893,
    author = {V. de Silva and J.B. Tenenbaum},
    journal = {Nonlinear Estimation and Classification ,},
    title = {Unsupervised learning of curved manifolds},
    year = {2002},
    keywords = {},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/conformal4.pdf}
    }

2001

  • J. B. Tenenbaum, T. L. Griffiths:
    Generalization, similarity, and Bayesian inference (pdf) (bibtex)
    Behavioral and Brain Sciences
     #additive clustering, #categorization, #concept learning, #contrast model, #features, #generalization, #psychological space, #similarity
    @article{J.B.Tenenbaum:2001:3148d,
    author = {J. B. Tenenbaum and T. L. Griffiths},
    journal = {Behavioral and Brain Sciences},
    title = {Generalization, similarity, and Bayesian inference},
    year = {2001},
    keywords = {additive clustering, categorization, concept learning, contrast model, features, generalization, psychological space, similarity},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/tenenbaum_griffiths01.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Randomness and coincidences: Reconciling intuition and probability theory (pdf) (bibtex)
    23rd Annual Conference of the Cognitive Science Society
     #coincidences
    @article{T.L.Griffiths:2001:dff20,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {23rd Annual Conference of the Cognitive Science Society},
    title = {Randomness and coincidences: Reconciling intuition and probability theory},
    year = {2001},
    keywords = {coincidences},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/random.pdf}
    }
  • J. B. Tenenbaum, T. L. Griffiths:
    Some specifics about generalization (bibtex)
    Behavioral and Brain Sciences
     #generalization
    @article{J.B.Tenenbaum:2001:37912,
    author = {J. B. Tenenbaum and T. L. Griffiths},
    journal = {Behavioral and Brain Sciences},
    title = {Some specifics about generalization},
    year = {2001},
    keywords = {generalization},
    doi = {},
    url = {}
    }
  • J. B. Tenenbaum, T. L. Griffiths:
    Structure learning in human causal induction (pdf) (bibtex)
    Advances in Neural Information Processing Systems 13
     #causality, #structure
    @article{J.B.Tenenbaum:2001:d746f,
    author = {J. B. Tenenbaum and T. L. Griffiths},
    journal = {Advances in Neural Information Processing Systems 13},
    title = {Structure learning in human causal induction},
    year = {2001},
    keywords = {causality, structure},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips00.pdf}
    }
  • J. B. Tenenbaum, T. L. Griffiths:
    The rational basis of representativeness (pdf) (bibtex)
    23rd Annual Conference of the Cognitive Science Society
     #categories
    @article{J.B.Tenenbaum:2001:c0d6a,
    author = {J. B. Tenenbaum and T. L. Griffiths},
    journal = {23rd Annual Conference of the Cognitive Science Society},
    title = {The rational basis of representativeness},
    year = {2001},
    keywords = {categories},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/cogsci01_final.pdf}
    }

2000

  • J. B. Tenenbaum, V. De Silva, J. C. Langford:
    A global geometric framework for nonlinear dimensionality reduction (pdf) (bibtex)
    Science
     #dimensionality reduction
    @article{J.B.Tenenbaum:2000:0833c,
    author = {J. B. Tenenbaum and V. De Silva and J. C. Langford},
    journal = {Science},
    title = {A global geometric framework for nonlinear dimensionality reduction},
    year = {2000},
    keywords = {dimensionality reduction},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/sci_reprint.pdf}
    }
  • J. B. Tenenbaum:
    Rules and similarity in concept learning (pdf) (bibtex)
    Advances in Neural Information Processing Systems 12
     #exemplars, #rules
    @article{J.B.Tenenbaum:2000:ce656,
    author = {J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 12},
    title = {Rules and similarity in concept learning},
    year = {2000},
    keywords = {exemplars, rules},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips99preprint.pdf}
    }
  • J. B. Tenenbaum, W. T. Freeman:
    Separating style and content with bilinear models (pdf) (bibtex)
    Neural Computation
     #singular value decomposition, #expectation-maximization
    @article{J.B.Tenenbaum:2000:7c055,
    author = {J. B. Tenenbaum and W. T. Freeman},
    journal = {Neural Computation},
    title = {Separating style and content with bilinear models},
    year = {2000},
    keywords = {singular value decomposition, expectation-maximization},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/NC120601.pdf}
    }
  • T. L. Griffiths, J. B. Tenenbaum:
    Teacakes, trains, toxins, and taxicabs: A Bayesian account of predicting the future (pdf) (bibtex)
    Proceedings of the 22nd Annual Conference of the Cognitive Science Society
     #prediction
    @article{T.L.Griffiths:2000:e6a13,
    author = {T. L. Griffiths and J. B. Tenenbaum},
    journal = {Proceedings of the 22nd Annual Conference of the Cognitive Science Society},
    title = {Teacakes, trains, toxins, and taxicabs: A Bayesian account of predicting the future},
    year = {2000},
    keywords = {prediction},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/future.pdf}
    }
  • J. B. Tenenbaum, F. Xu:
    Word learning as Bayesian inference (pdf) (bibtex)
    Proceedings of the 22nd Annual Conference of the Cognitive Science Society
     #language
    @article{J.B.Tenenbaum:2000:833ee,
    author = {J. B. Tenenbaum and F. Xu},
    journal = {Proceedings of the 22nd Annual Conference of the Cognitive Science Society},
    title = {Word learning as Bayesian inference},
    year = {2000},
    keywords = {language},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/cogsci00_FINAL.pdf}
    }

1999

  • J. B. Tenenbaum:
    A Bayesian Framework for Concept Learning (pdf) (bibtex)
    Ph.D. Thesis, MIT
     #concept learning
    @article{J.B.Tenenbaum:1999:7385c,
    author = {J. B. Tenenbaum},
    journal = {Ph.D. Thesis, MIT},
    title = {A Bayesian Framework for Concept Learning},
    year = {1999},
    keywords = {concept learning},
    doi = {},
    url = {https://dspace.mit.edu/bitstream/1721.1/16714/1/42471842.pdf}
    }
  • J. B. Tenenbaum:
    Bayesian modeling of human concept learning (pdf) (bibtex)
    Advances in Neural Information Processing Systems 11
     #concept learning
    @article{J.B.Tenenbaum:1999:fcf51,
    author = {J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 11},
    title = {Bayesian modeling of human concept learning},
    year = {1999},
    keywords = {concept learning},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/bayes.pdf}
    }

1998

  • J. B. Tenenbaum:
    Mapping a manifold of perceptual observations (pdf) (bibtex)
    Advances in Neural Information Processing Systems 10
     #dimensionality reduction
    @article{J.B.Tenenbaum:1998:a2b22,
    author = {J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 10},
    title = {Mapping a manifold of perceptual observations},
    year = {1998},
    keywords = {dimensionality reduction},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/man_nips.pdf}
    }

1995

  • J. B. Tenenbaum:
    Learning the structure of similarity (pdf) (bibtex)
    Advances in Neural Information Processing Systems 8
     #structure, #generalization
    @article{J.B.Tenenbaum:1995:ab9ec,
    author = {J. B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems 8},
    title = {Learning the structure of similarity},
    year = {1995},
    keywords = {structure, generalization},
    doi = {},
    url = {http://web.mit.edu/cocosci/Papers/nips95.pdf}
    }

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