Generalization

Memorization in 3D Shape Generation: An Empirical Study
https://arxiv.org/abs/2512.23628

Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training
https://arxiv.org/abs/2505.17638

Provable Separations between Memorization and Generalization in Diffusion Models
https://arxiv.org/abs/2511.03202

Towards a Mechanistic Explanation of Diffusion Model Generalization
https://arxiv.org/abs/2411.19339

A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective
https://arxiv.org/abs/2509.16499

Understanding Generalization in Diffusion Models via Probability Flow Distance </br<
https://arxiv.org/abs/2505.20123

Carré du champ flow matching: better quality-generalisation tradeoff in generative models
https://arxiv.org/abs/2510.05930

On the Edge of Memorization in Diffusion Models
https://arxiv.org/abs/2508.17689

Selective Underfitting in Diffusion Models
https://arxiv.org/abs/2510.01378

Researchers Uncover Hidden Ingredients Behind AI Creativity
https://www.quantamagazine.org/researchers-uncover-hidden-ingredients-behind-ai-creativity-20250630/

On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
https://www.arxiv.org/pdf/2506.03719

Locality in Image Diffusion Models Emerges from Data Statistics
https://arxiv.org/abs/2509.09672

Aligning generalization between humans and machines
https://www.nature.com/articles/s42256-025-01109-4