Background Gradients Shape Memorization in Flow Matching

arXiv:2609.33210 · cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CV

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Accuracy — 37× in this paper · explained in 1 episode
• Diffusion Model — 18× in this paper · explained in 8 episodes
• Diffusion Models — 18× in this paper · explained in 6 episodes
• Generalization — 14× in this paper · explained in 13 episodes
• Flow Matching — 12× in this paper · explained in 8 episodes
• In International Conference on Learning Representations — 11× in this paper
• Alignment — 8× in this paper · explained in 1 episode
• In International Conference on Machine Learning — 7× in this paper
• Calibration — 6× in this paper · explained in 7 episodes
• Generative Model — 6× in this paper · explained in 2 episodes
• Generative Models — 6× in this paper · explained in 2 episodes
• Influence Functions — 4× in this paper · explained in 2 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• International Conference on Computer Vision — 2× in this paper
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Computer Vision and Pattern Recognition — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Meeting of the Association for Computational Linguistics — 1× in this paper
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Reducing Memorisation in Generative Models via Riemannian Bayesian Inference
• Local Coverage Governs Memorization in Diffusion Models
• A Reproducible Extraction of Training Images from Diffusion Models

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