:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rodriguez, Marta Aparicio, Borovykh, Anastasia, Pavliotis, Grigorios A., Korchinski, Daniel J.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.30642
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Concept Reachability in Diffusion Models: Beyond Dataset Constraints
by: Rodriguez, Marta Aparicio, et al.
Published: (2025)

Stochastic Mirror Descent for Convex Optimization with Consensus Constraints
by: Borovykh, Anastasia, et al.
Published: (2022)

Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion
by: Shah, Kulin, et al.
Published: (2025)

Recursive Maximum Likelihood Estimation for Interacting Particle Systems using Virtual Particles
by: Sharrock, Louis, et al.
Published: (2026)

On the Edge of Memorization in Diffusion Models
by: Buchanan, Sam, et al.
Published: (2025)

Efficient Online Learning in Interacting Particle Systems
by: Sharrock, Louis, et al.
Published: (2026)

Leave-one-out Distinguishability in Machine Learning
by: Ye, Jiayuan, et al.
Published: (2023)

On Memorization in Diffusion Models
by: Gu, Xiangming, et al.
Published: (2023)

Identifiable learning of dissipative dynamics
by: Zhu, Aiqing, et al.
Published: (2025)

Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training
by: Bonnaire, Tony, et al.
Published: (2025)

Sampling Data with Chains of Forward-Backward Diffusion Steps
by: Kang, Hyunmo, et al.
Published: (2026)

Generalization in LLM Problem Solving: The Case of the Shortest Path
by: Tong, Yao, et al.
Published: (2026)

On the Memorization of Consistency Distillation for Diffusion Models
by: Jiang, Bingqing, et al.
Published: (2026)

Improving Discrete Diffusion Models via Structured Preferential Generation
by: Rissanen, Severi, et al.
Published: (2024)

Learn from your own latents and not from tokens: A sample-complexity theory
by: Korchinski, Daniel J., et al.
Published: (2026)

Memorization and Regularization in Generative Diffusion Models
by: Baptista, Ricardo, et al.
Published: (2025)

Corrective Diffusion Language Models
by: Zhang, Shuibai, et al.
Published: (2025)

Manifold Generalization Provably Proceeds Memorization in Diffusion Models
by: Shen, Zebang, et al.
Published: (2026)

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
by: Fang, Zhengyu, et al.
Published: (2024)

Provable Separations between Memorization and Generalization in Diffusion Models
by: Ye, Zeqi, et al.
Published: (2025)

P4: Towards private, personalized, and Peer-to-Peer learning
by: Maheri, Mohammad Mahdi, et al.
Published: (2024)

Reducing Diffusion Model Memorization with Higher Order Langevin Dynamics
by: Sterling, Benjamin, et al.
Published: (2026)

Training-Free Generative Modeling via Kernelized Stochastic Interpolants
by: Coeurdoux, Florentin, et al.
Published: (2026)

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models
by: Favero, Alessandro, et al.
Published: (2025)

Memorization Control in Diffusion Models from Denoising-centric Perspective
by: Vu, Thuy Phuong, et al.
Published: (2026)

Mitigating Diffusion Model Hallucinations with Dynamic Guidance
by: Triaridis, Kostas, et al.
Published: (2025)

Parameter Estimation for Weakly Interacting Hypoelliptic Diffusions
by: Iguchi, Yuga, et al.
Published: (2025)

Localizing Memorized Regions in Diffusion Models via Coordinate-Wise Curvature Differences
by: Kim, Gwangho, et al.
Published: (2026)

Deep Unlearn: Benchmarking Machine Unlearning for Image Classification
by: Cadet, Xavier F., et al.
Published: (2024)

When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
by: Zeno, Chen, et al.
Published: (2025)

Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
by: Hintersdorf, Dominik, et al.
Published: (2024)

Patronus: Interpretable Diffusion Models with Prototypes
by: Weng, Nina, et al.
Published: (2025)

Two Calm Ends and the Wild Middle: A Geometric Picture of Memorization in Diffusion Models
by: Dodson, Nick, et al.
Published: (2026)

A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective
by: Fang, Zhengyu, et al.
Published: (2025)

Neural parameter calibration and uncertainty quantification for epidemic forecasting
by: Gaskin, Thomas, et al.
Published: (2023)

Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig example
by: Evangelou, Nikolaos, et al.
Published: (2023)

What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
by: Jin, Xisen, et al.
Published: (2024)

Resolving Memorization in Empirical Diffusion Model for Manifold Data in High-Dimensional Spaces
by: Lyu, Yang, et al.
Published: (2025)

Beyond Memorization: Selective Learning for Copyright-Safe Diffusion Model Training
by: Kothandaraman, Divya, et al.
Published: (2025)

Memorization to Generalization: Emergence of Diffusion Models from Associative Memory
by: Pham, Bao, et al.
Published: (2025)