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
- Tobias Gerstenberg, Matthew F Peterson, Noah D Goodman, David A Lagnado, Joshua B Tenenbaum:
Eye-Tracking Causality (web) (doi) (bibtex)
Psychological Science
#causality, #counterfactuals, #mental simulation, #intuitive physics, #eye tracking, #open data, #open materials
@article{TobiasGerstenberg:2017:9fd98,
author = {Tobias Gerstenberg and Matthew F Peterson and Noah D Goodman and David A Lagnado and Joshua B Tenenbaum},
journal = {Psychological Science},
title = { Eye-Tracking Causality},
year = {2017},
keywords = {causality, counterfactuals, mental simulation, intuitive physics, eye tracking, open data, open materials},
doi = {10.1177/0956797617713053},
url = {http://journals.sagepub.com/doi/10.1177/0956797617713053}
}
- Michael Chang, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum:
A Compositional Object-Based Approach To Learning Physical Dynamics (web) (bibtex)
Proceedings of the 5th International Conference on Learning Representations
#intuitive physics, #simulation, #deep learning, #unsupervised learning, #scene understanding
@article{MichaelChang:2017:07f51,
author = {Michael Chang and Tomer Ullman and Antonio Torralba and Joshua B. Tenenbaum},
journal = {Proceedings of the 5th International Conference on Learning Representations},
title = {A Compositional Object-Based Approach To Learning Physical Dynamics},
year = {2017},
keywords = {intuitive physics, simulation, deep learning, unsupervised learning, scene understanding},
doi = {},
url = {https://arxiv.org/abs/1612.00341}
}
- Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman:
Building Machines That Learn and Think Like People (web) (doi) (bibtex)
Behavioral and Brain Sciences
#artificial intelligence, #intuitive theories, #intuitive physics, #intuitive psychology, #compositionality, #learning to learn
@article{BrendenMLake:2017:59b19,
author = {Brenden M Lake and Tomer D Ullman and Joshua B Tenenbaum and Samuel J Gershman},
journal = {Behavioral and Brain Sciences},
title = {Building Machines That Learn and Think Like People},
year = {2017},
keywords = {artificial intelligence, intuitive theories, intuitive physics, intuitive psychology, compositionality, learning to learn},
doi = {10.1017/S0140525X16001837},
url = {https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/building-machines-that-learn-and-think-like-people/A9535B1D745A0377E16C590E14B94993}
}
- Neil R. Bramley, Ralf Mayrhofer, Tobias Gerstenberg, David A. Lagnado:
Causal learning from interventions and dynamics in continuous time (pdf) (bibtex)
Proceedings of the 39th Annual Conference of the Cognitive Science Society
#causal learning, #intervention, #time, #causal cycles, #structure induction, #dynamics
@article{NeilR.Bramley:2017:a79d7,
author = {Neil R. Bramley and Ralf Mayrhofer and Tobias Gerstenberg and David A. Lagnado},
journal = {Proceedings of the 39th Annual Conference of the Cognitive Science Society},
title = {Causal learning from interventions and dynamics in continuous time},
year = {2017},
keywords = {causal learning, intervention, time, causal cycles, structure induction, dynamics},
doi = {},
url = {http://web.mit.edu/tger/www/papers/Causal%20learning%20from%20interventions%20and%20dynamics%20in%20continuous%20time,%20Bramley%20et%20al.,%202017.pdf}
}
- David A. Lagnado, Tobias Gerstenberg:
Causation in legal and moral reasoning (pdf) (bibtex)
Oxford Handbook of Causal Reasoning
#causal reasoning, #moral reasoning, #counterfactuals
@article{DavidA.Lagnado:2017:4f10c,
author = {David A. Lagnado and Tobias Gerstenberg},
journal = {Oxford Handbook of Causal Reasoning},
title = {Causation in legal and moral reasoning},
year = {2017},
keywords = {causal reasoning, moral reasoning, counterfactuals},
doi = {},
url = {http://web.mit.edu/tger/www/papers/Causation%20in%20legal%20and%20moral%20reasoning,%20Lagnado,%20Gerstenberg,%202017.pdf}
}
- Tobias Gerstenberg, Liang Zhou, Kevin A. Smith, Joshua B. Tenenbaum:
Faulty towers: A hypothetical simulation model of physical support (pdf) (bibtex)
Proceedings of the 39th Annual Conference of the Cognitive Science Society
#causality, #counterfactual, #hypothetical, #mental simulation, #intuitive physics, #physical support
@article{TobiasGerstenberg:2017:d421a,
author = {Tobias Gerstenberg and Liang Zhou and Kevin A. Smith and Joshua B. Tenenbaum},
journal = {Proceedings of the 39th Annual Conference of the Cognitive Science Society},
title = {Faulty towers: A hypothetical simulation model of physical support},
year = {2017},
keywords = {causality, counterfactual, hypothetical, mental simulation, intuitive physics, physical support},
doi = {},
url = {http://web.mit.edu/tger/www/papers/Intuitive%20Theories,%20Gerstenberg,%20Tenenbaum,%202017.pdf}
}
- Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, James Traer, Josh H. McDermott, Joshua B. Tenenbaum, William T. Freeman:
Generative Modeling of Audible Shapes for Object Perception (pdf) (bibtex)
IEEE International Conference on Computer Vision (ICCV)
#deep learning, #simulation, #auditory perception, #scene understanding
@article{ZhoutongZhang:2017:4f1fd,
author = {Zhoutong Zhang and Jiajun Wu and Qiujia Li and Zhengjia Huang and James Traer and Josh H. McDermott and Joshua B. Tenenbaum and William T. Freeman},
journal = {IEEE International Conference on Computer Vision (ICCV)},
title = {Generative Modeling of Audible Shapes for Object Perception},
year = {2017},
keywords = {deep learning, simulation, auditory perception, scene understanding},
doi = {},
url = {https://jiajunwu.com/papers/gensound_iccv.pdf}
}
- Tobias Gerstenberg, Joshua B. Tenenbaum:
Intuitive Theories (pdf) (bibtex)
Oxford Handbook of Causal Reasoning
#intuitive theories, #causality, #counterfactuals, #intuitive physics, #intuitive psychology
@article{TobiasGerstenberg:2017:9a988,
author = {Tobias Gerstenberg and Joshua B. Tenenbaum},
journal = {Oxford Handbook of Causal Reasoning},
title = {Intuitive Theories},
year = {2017},
keywords = {intuitive theories, causality, counterfactuals, intuitive physics, intuitive psychology},
doi = {},
url = {http://web.mit.edu/tger/www/papers/Intuitive%20Theories,%20Gerstenberg,%20Tenenbaum,%202017.pdf}
}
- Jiajun Wu, Erika Lu, Pushmeet Kohli, William T. Freeman, Joshua B. Tenenbaum:
Learning to See Physics via Visual De-animation (web) (bibtex)
Advances in Neural Information Processing Systems (NIPS)
#intuitive physics, #simulation, #deep learning, #scene understanding
@article{JiajunWu:2017:4849f,
author = {Jiajun Wu and Erika Lu and Pushmeet Kohli and William T. Freeman and Joshua B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems (NIPS)},
title = {Learning to See Physics via Visual De-animation},
year = {2017},
keywords = {intuitive physics, simulation, deep learning, scene understanding},
doi = {},
url = {http://vda.csail.mit.edu/}
}
- Simon Stephan, Pascale Willemsen, Tobias Gerstenberg:
Marbles in Inaction: Counterfactual Simulation and Causation by Omission (pdf) (bibtex)
Proceedings of the 39th Annual Conference of the Cognitive Science Society
#causality, #counterfactuals, #causation by omission, #causal attribution, #mental simulation, #intuitive physics
@article{SimonStephan:2017:26b30,
author = {Simon Stephan and Pascale Willemsen and Tobias Gerstenberg},
journal = {Proceedings of the 39th Annual Conference of the Cognitive Science Society},
title = {Marbles in Inaction: Counterfactual Simulation and Causation by Omission},
year = {2017},
keywords = {causality, counterfactuals, causation by omission, causal attribution, mental simulation, intuitive physics},
doi = {},
url = {http://web.mit.edu/tger/www/papers/Marbles%20in%20Inaction%20Counterfactual%20Simulation%20and%20Causation%20by%20Omission,%20Stephan,%20Willemsen,%20Gerstenberg,%202017.pdf}
}
- Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T. Freeman, Joshua B. Tenenbaum:
MarrNet: 3D Shape Reconstruction via 2.5D Sketches (web) (bibtex)
Advances in Neural Information Processing Systems (NIPS)
#3d vision, #deep learning
@article{JiajunWu:2017:cfe2b,
author = {Jiajun Wu and Yifan Wang and Tianfan Xue and Xingyuan Sun and William T. Freeman and Joshua B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems (NIPS)},
title = {MarrNet: 3D Shape Reconstruction via 2.5D Sketches},
year = {2017},
keywords = {3d vision, deep learning},
doi = {},
url = {http://marrnet.csail.mit.edu/}
}
- Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli:
Neural Scene De-rendering (web) (bibtex)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
#deep learning, #self-supervised learning, #inverse graphics, #computer vision, #scene understanding
@article{JiajunWu:2017:2afa9,
author = {Jiajun Wu and Joshua B. Tenenbaum and Pushmeet Kohli},
journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {Neural Scene De-rendering},
year = {2017},
keywords = {deep learning, self-supervised learning, inverse graphics, computer vision, scene understanding},
doi = {},
url = {http://nsd.csail.mit.edu/}
}
- Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussant, Joshua B. Tenenbaum:
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints (pdf) (bibtex)
Proceedings of the 39th Annual Conference of the Cognitive Science Society
#planning, #problem solving, #logic-geometric programming, #intuitive physics, #scene understanding
@article{IlkerYildirim:2017:b8461,
author = {Ilker Yildirim and Tobias Gerstenberg and Basil Saeed and Marc Toussant and Joshua B. Tenenbaum},
journal = {Proceedings of the 39th Annual Conference of the Cognitive Science Society},
title = {Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints},
year = {2017},
keywords = {planning, problem solving, logic-geometric programming, intuitive physics, scene understanding},
doi = {},
url = {http://web.mit.edu/tger/www/papers/Physical%20problem%20solving%20Joint%20planning%20with%20symbolic,%20geometric,%20and%20dynamic%20constraints,%20Yildirim%20et%20al.,%202017.pdf}
}
- Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Joshua B. Tenenbaum:
Self-Supervised Intrinsic Image Decomposition (web) (bibtex)
Advances in Neural Information Processing Systems (NIPS)
#computer vision, #deep learning, #self-supervised learning
@article{MichaelJanner:2017:e02af,
author = {Michael Janner and Jiajun Wu and Tejas D. Kulkarni and Ilker Yildirim and Joshua B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems (NIPS)},
title = {Self-Supervised Intrinsic Image Decomposition},
year = {2017},
keywords = {computer vision, deep learning, self-supervised learning},
doi = {},
url = {http://rin.csail.mit.edu/}
}
- Zhoutong Zhang, Qiujia Li, Zhengjia Huang, Jiajun Wu, Joshua B. Tenenbaum, William T. Freeman:
Shape and Material from Sound (web) (bibtex)
Advances in Neural Information Processing Systems (NIPS)
#auditory perception, #deep learning, #simulation
@article{ZhoutongZhang:2017:1d3c7,
author = {Zhoutong Zhang and Qiujia Li and Zhengjia Huang and Jiajun Wu and Joshua B. Tenenbaum and William T. Freeman},
journal = {Advances in Neural Information Processing Systems (NIPS)},
title = {Shape and Material from Sound},
year = {2017},
keywords = {auditory perception, deep learning, simulation},
doi = {},
url = {http://sound.csail.mit.edu/}
}
- Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D Kulkarni, Joshua B Tenenbaum:
Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative (web) (doi) (bibtex)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
#2d to 3d, #3d vision, #3d generation, #3d reconstruction, #inverse vision, #scene understanding, #deep learning
@article{AmirArsalanSoltani:2017:4a1d2,
author = {Amir Arsalan Soltani and Haibin Huang and Jiajun Wu and Tejas D Kulkarni and Joshua B Tenenbaum},
journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative },
year = {2017},
keywords = {2d to 3d, 3d vision, 3d generation, 3d reconstruction, inverse vision, scene understanding, deep learning},
doi = {10.1109/CVPR.2017.269},
url = {https://github.com/Amir-Arsalan/Synthesize3DviaDepthOrSil}
}
- Shari Liu, Tomer D Ullman, Joshua B Tenenbaum, Elizabeth S Spelke:
Ten-month-old infants infer the value of goals from the costs of actions (web) (doi) (bibtex)
Science
#intuitive psychology, #inverse planning, #action-value prediction
@article{ShariLiu:2017:c07d1,
author = {Shari Liu and Tomer D Ullman and Joshua B Tenenbaum and Elizabeth S Spelke},
journal = {Science},
title = {Ten-month-old infants infer the value of goals from the costs of actions},
year = {2017},
keywords = {intuitive psychology, inverse planning, action-value prediction},
doi = {10.1126/science.aag2132 },
url = {http://science.sciencemag.org/content/358/6366/1038}
}
- Kevin A Smith, Filipe de A B Peres, Edward Vul, Joshua B Tenenbaum:
Thinking inside the box: Motion prediction in contained spaces uses simulation (pdf) (bibtex)
Cognitive Science Society
#intuitive physics, #simulation, #topology, #containers
@article{KevinASmith:2017:2a5ea,
author = {Kevin A Smith and Filipe de A B Peres and Edward Vul and Joshua B Tenenbaum},
journal = {Cognitive Science Society},
title = {Thinking inside the box: Motion prediction in contained spaces uses simulation},
year = {2017},
keywords = {intuitive physics, simulation, topology, containers},
doi = {},
url = {http://scripts.mit.edu/~k2smith/publications/Smith_CogSci_Topology.pdf}
}
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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