Applications of Neural Cellular Automata: State of the Art, Challenges and Opportunities

arXiv:2609.24595 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Terminology

Transformer — 20× in this paper · explained in 2 episodes
Accuracy — 10× in this paper · explained in 1 episode
Adaptation — 8× in this paper · explained in 1 episode
Diffusion Model — 8× in this paper · explained in 8 episodes
Robustness — 8× in this paper · explained in 5 episodes
Artificial Intelligence — 7× in this paper
Diffusion Models — 7× in this paper · explained in 6 episodes
Generalization — 6× in this paper · explained in 13 episodes
Continual Learning — 5× in this paper · explained in 2 episodes
Federated Learning — 5× in this paper · explained in 15 episodes
Aggregation — 4× in this paper · explained in 1 episode
Distribution Shift — 4× in this paper · explained in 6 episodes
Conference on Computer Vision and Pattern Recognition — 3× in this paper
Downstream Tasks — 3× in this paper · explained in 2 episodes
Edge Devices — 3× in this paper · explained in 2 episodes
Explainability — 3× in this paper · explained in 3 episodes
Fine-Tuning — 3× in this paper · explained in 5 episodes
Generative Model — 3× in this paper · explained in 2 episodes
Long Short-Term Memory — 3× in this paper
Loss Function — 3× in this paper · explained in 2 episodes
Segmentation Masks — 3× in this paper · explained in 2 episodes
nnU-Net — 3× in this paper · explained in 2 episodes
Asynchronous Cellular Automaton-based Neuron — 2× in this paper
Catastrophic Forgetting — 2× in this paper · explained in 5 episodes
Convolutional Neural Network — 2× in this paper
Core — 2× in this paper · explained in 2 episodes
Feature Extraction — 2× in this paper · explained in 2 episodes
Generative Models — 2× in this paper · explained in 2 episodes
International Symposium on Biomedical Imaging — 2× in this paper
Latent Space — 2× in this paper · explained in 7 episodes
Magnetic Resonance Image — 2× in this paper
Pruning — 2× in this paper · explained in 4 episodes
Quantization — 2× in this paper · explained in 12 episodes
Activation Function — 1× in this paper · explained in 1 episode
Adversarial Attacks — 1× in this paper · explained in 1 episode
Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Calibration — 1× in this paper · explained in 7 episodes
Computational Biology — 1× in this paper · explained in 2 episodes
Computed Tomography — 1× in this paper
Data Augmentation — 1× in this paper · explained in 7 episodes
Digital Twin — 1× in this paper · explained in 5 episodes
Domain Shift — 1× in this paper · explained in 4 episodes
Dynamic Adaptation — 1× in this paper · explained in 2 episodes
Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
Generative Modeling — 1× in this paper · explained in 3 episodes
Land Use and Land Cover — 1× in this paper
Latent Diffusion Model — 1× in this paper · explained in 2 episodes
Latent Diffusion Models — 1× in this paper · explained in 2 episodes
Latent Representation — 1× in this paper · explained in 2 episodes
Modern Artificial Neural Network — 1× in this paper
NCA Quality Metric — 1× in this paper
NCAs to Out-of-Distribution — 1× in this paper
Parameter Efficiency — 1× in this paper · explained in 3 episodes
Redundancy — 1× in this paper · explained in 2 episodes
Transformer Architecture — 1× in this paper · explained in 2 episodes
UNet on In-Distribution — 1× in this paper
Uncertainty Quantification — 1× in this paper · explained in 8 episodes
Video Random Access Memory — 1× in this paper
Volumetric Neural Cellular Automata — 1× in this paper
While Cellular Learning Automaton — 1× in this paper

Terminology

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