From counterfactual simulation to causal judgment (pdf) (bibtex)
T. Gerstenberg, N. D. Goodman, D. A. Lagnado, J. B. Tenenbaum: Proceedings of the 36th Annual Conference of the Cognitive Science Society #causality, #counterfactuals, #simulation, #intuitive physics, #attribution
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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}
}
A Compositional Object-Based Approach To Learning Physical Dynamics (web) (bibtex)
Michael Chang, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum: 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}
}
Thinking inside the box: Motion prediction in contained spaces uses simulation (pdf) (bibtex)
Kevin A Smith, Filipe de A B Peres, Edward Vul, Joshua B Tenenbaum: 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}
}
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding (web) (bibtex)
Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum: Proceedings of the 38th Annual Conference of the Cognitive Science Society #intuitive physics, #simulation, #deep learning, #scene understanding
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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/}
}
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning (web) (bibtex)
Jiajun Wu, Ilker Yildirim, Joseph J. Lim, William T. Freeman, Joshua B. Tenenbaum: 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/}
}
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (web) (bibtex)
Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum: 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/}
}
Generative Modeling of Audible Shapes for Object Perception (pdf) (bibtex)
Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, James Traer, Josh H. McDermott, Joshua B. Tenenbaum, William T. Freeman: 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}
}
Learning to See Physics via Visual De-animation (web) (bibtex)
Jiajun Wu, Erika Lu, Pushmeet Kohli, William T. Freeman, Joshua B. Tenenbaum: 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/}
}
Zhoutong Zhang, Qiujia Li, Zhengjia Huang, Jiajun Wu, Joshua B. Tenenbaum, William T. Freeman: 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/}
}