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Found 9 papers, 4 papers with code
Biomaker CA: a Biome Maker project using Cellular Automata
Finally, we show how to perform interactive evolution, where the user decides how to evolve a plant model interactively and then deploys it in a larger environment.
Growing Steerable Neural Cellular Automata
Neural Cellular Automata (NCA) models have shown remarkable capacity for pattern formation and complex global behaviors stemming from local coordination.
Differentiable Programming of Chemical Reaction Networks
We present a differentiable formulation of abstract chemical reaction networks (CRNs) that can be trained to solve a variety of computational tasks.
Transformers learn in-context by gradient descent
We start by providing a simple weight construction that shows the equivalence of data transformations induced by 1) a single linear self-attention layer and by 2) gradient-descent (GD) on a regression loss.
Growing Isotropic Neural Cellular Automata
Modeling the ability of multicellular organisms to build and maintain their bodies through local interactions between individual cells (morphogenesis) is a long-standing challenge of developmental biology.
Differentiable Programming of Reaction-Diffusion Patterns
Reaction-Diffusion (RD) systems provide a computational framework that governs many pattern formation processes in nature.
Texture Generation with Neural Cellular Automata
Neural Cellular Automata (NCA) have shown a remarkable ability to learn the required rules to "grow" images, classify morphologies, segment images, as well as to do general computation such as path-finding.
Image segmentation via Cellular Automata
The update rule is applied repeatedly in parallel to a large random subset of cells and after convergence is used to produce segmentation masks that are then back-propagated to learn the optimal update rules using standard gradient descent methods.
MPLP: Learning a Message Passing Learning Protocol
We present a novel method for learning the weights of an artificial neural network - a Message Passing Learning Protocol (MPLP).
