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.00027

Markdown

[Mordvintsev et al. "Thread: Differentiable Self-Organizing Systems." Distill, 2020.](https://mlanthology.org/distill/2020/mordvintsev2020distill-thread/) doi:10.23915/distill.00027

BibTeX

@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/}
}