A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding

Renqiao Zhang, Jiajun Wu 0001, 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. In Anna Papafragou, Daniel Grodner, Daniel Mirman, John C. Trueswell, editors, Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Recogbizing and Representing Events, CogSci 2016, Philadelphia, PA, USA, August 10-13, 2016. cognitivesciencesociety.org, 2016. [doi]

@inproceedings{Zhang0ZFT16,
  title = {A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding},
  author = {Renqiao Zhang and Jiajun Wu 0001 and Chengkai Zhang and William T. Freeman and Joshua B. Tenenbaum},
  year = {2016},
  url = {https://mindmodeling.org/cogsci2016/papers/0312/index.html},
  researchr = {https://researchr.org/publication/Zhang0ZFT16},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Recogbizing and Representing Events, CogSci 2016, Philadelphia, PA, USA, August 10-13, 2016},
  editor = {Anna Papafragou and Daniel Grodner and Daniel Mirman and John C. Trueswell},
  publisher = {cognitivesciencesociety.org},
  isbn = {978-0-9911967-3-9},
}