Neural Cellular Automata and Deep Equilibrium Models

January 07, 2025 ยท Declared Dead ยท ๐Ÿ› 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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