On Growth and Form, and Function: Reusable Regulatory Handles Control Phenotypic Variation

arXiv:2609.29755 · cs.NE, cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.NE, cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Project page: https://umu1729.github.io

Terminology

• Adaptation — 35× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Degeneracy — 4× in this paper · explained in 3 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• Inverse Problem — 3× in this paper · explained in 2 episodes
• Low-Rank Adaptation (LoRA) — 3× in this paper · explained in 9 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Meta-learning — 2× in this paper · explained in 2 episodes
• Principal Component Analysis (PCA) — 2× in this paper · explained in 4 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Digital Twin — 1× in this paper · explained in 4 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Phase Transitions — 1× in this paper · explained in 2 episodes
• Physical Constraints — 1× in this paper · explained in 7 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Singular Value Decomposition (SVD) — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Weight-Space Principal Component Analysis — 1× in this paper
• alpha — 1× in this paper · explained in 1 episode

Sources

• HyperNCA: Growing Developmental Networks with Neural Cellular Automata
• Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
• Classifier-Free Diffusion Guidance

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