Simulation
- 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}
}
- 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}
}
- 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}
}
- 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/}
}
- 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/}
}
- 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/}
}
- 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}
}
- 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/}
}
- 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/}
}
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