Neural Cellular Automata and Deep Equilibrium Models
January 07, 2025 ยท Declared Dead ยท ๐ arXiv.org
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Authors
Zhibai Jia
arXiv ID
2501.03573
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.FL
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This essay discusses the connections and differences between two emerging paradigms in deep learning, namely Neural Cellular Automata and Deep Equilibrium Models, and train a simple Deep Equilibrium Convolutional model to demonstrate the inherent similarity of NCA and DEQ based methods. Finally, this essay speculates about ways to combine theoretical and practical aspects of both approaches for future research.
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