Mesh neural cellular automata
Texture modeling and synthesis are essential for enhancing the realism of virtual
environments. Methods that directly synthesize textures in 3D offer distinct advantages to the …
environments. Methods that directly synthesize textures in 3D offer distinct advantages to the …
NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata
Neural Cellular Automata (NCA) is a class of Cellular Automata where the update rule is
parameterized by a neural network that can be trained using gradient descent. In this paper …
parameterized by a neural network that can be trained using gradient descent. In this paper …
Growing Steerable Neural Cellular Automata
E Randazzo, A Mordvintsev, C Fouts - Artificial Life Conference …, 2023 - direct.mit.edu
Abstract Neural Cellular Automata (NCA) models have shown remarkable capacity for
pattern formation and complex global behaviors stemming from local coordination. However …
pattern formation and complex global behaviors stemming from local coordination. However …
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. Chemical reaction networks are one …
can be trained to solve a variety of computational tasks. Chemical reaction networks are one …
Exploring Complex Dynamical Systems via Nonconvex Optimization
H Elliott - arXiv preprint arXiv:2301.00923, 2023 - arxiv.org
Cataloging the complex behaviors of dynamical systems can be challenging, even when
they are well-described by a simple mechanistic model. If such a system is of limited …
they are well-described by a simple mechanistic model. If such a system is of limited …
Emergent Multiscale Structures and Generative Potential of Isotropic Neural Cellular Automata
A Mordvintsev, E Niklasson - ALIFE 2024: Proceedings of the 2024 …, 2024 - direct.mit.edu
We explore emergent properties of Isotropic Neural Cellular Automata models (IsoNCA)
trained on two simple problems, and evaluate them on static image outputs. The first task …
trained on two simple problems, and evaluate them on static image outputs. The first task …