Thread: Differentiable Self-Organizing Systems
Abstract
Distill articles are interactive publications and do not include traditional abstracts. This summary was written for the ML Anthology. Introduces a research thread exploring differentiable self-organizing systems, collecting articles that investigate how neural cellular automata can learn to grow, maintain, and regenerate complex patterns from simple local rules.
Cite
Text
Mordvintsev et al. "Thread: Differentiable Self-Organizing Systems." Distill, 2020. doi:10.23915/distill.00027Markdown
[Mordvintsev et al. "Thread: Differentiable Self-Organizing Systems." Distill, 2020.](https://mlanthology.org/distill/2020/mordvintsev2020distill-thread/) doi:10.23915/distill.00027BibTeX
@article{mordvintsev2020distill-thread,
title = {{Thread: Differentiable Self-Organizing Systems}},
author = {Mordvintsev, Alexander and Randazzo, Ettore and Niklasson, Eyvind and Levin, Michael and Greydanus, Sam},
journal = {Distill},
year = {2020},
doi = {10.23915/distill.00027},
url = {https://mlanthology.org/distill/2020/mordvintsev2020distill-thread/}
}