NeurIPS 2018poster295 citations
Flexible neural representation for physics prediction
Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li F Fei-Fei, Josh Tenenbaum, Daniel L Yamins
Abstract
Humans have a remarkable capacity to understand the physical dynamics of objects in their environment, flexibly capturing complex structures and interactions at multiple levels of detail.
BibTeX
@inproceedings{NEURIPS2018_fd9dd764,
author = {Mrowca, Damian and Zhuang, Chengxu and Wang, Elias and Haber, Nick and Fei-Fei, Li F and Tenenbaum, Josh and Yamins, Daniel L},
booktitle = {Advances in Neural Information Processing Systems},
editor = {S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {Flexible neural representation for physics prediction},
url = {https://proceedings.neurips.cc/paper_files/paper/2018/file/fd9dd764a6f1d73f4340d570804eacc4-Paper.pdf},
volume = {31},
year = {2018}
}