{"total":33,"rows":[{"id":"2411.19339","title":"Towards a Mechanistic Explanation of Diffusion Model Generalization","created":"2024-11-28","cited_by_count":42,"area":"diffusion"},{"id":"2501.12982","title":"Low-dimensional adaptation of diffusion models: Convergence in total variation","created":"2025-01-22","cited_by_count":39,"area":"diffusion"},{"id":"2503.03206","title":"An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models","created":"2025-03-05","cited_by_count":26,"area":"diffusion"},{"id":"2505.16959","title":"Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models","created":"2025-05-22","cited_by_count":25,"area":"diffusion"},{"id":"2509.09672","title":"Locality in Image Diffusion Models Emerges from Data Statistics","created":"2025-09-11","cited_by_count":25,"area":"diffusion"},{"id":"2502.05743","title":"Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling","created":"2025-02-09","cited_by_count":18,"area":"diffusion"},{"id":"2509.16499","title":"A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective","created":"2025-09-20","cited_by_count":18,"area":"diffusion"},{"id":"2510.01378","title":"Selective Underfitting in Diffusion Models","created":"2025-10-01","cited_by_count":18,"area":"diffusion"},{"id":"2502.03435","title":"Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization","created":"2025-02-05","cited_by_count":17,"area":"diffusion"},{"id":"2502.19499","title":"On the Interpolation Effect of Score Smoothing in Diffusion Models","created":"2025-02-26","cited_by_count":15,"area":"diffusion"},{"id":"2501.03937","title":"A solvable model of learning generative diffusion: theory and insights","created":"2025-01-07","cited_by_count":14,"area":"diffusion"},{"id":"2505.24769","title":"Generalization Dynamics of Linear Diffusion Models","created":"2025-05-30","cited_by_count":9,"area":"diffusion"},{"id":"2506.03849","title":"Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models","created":"2025-06-04","cited_by_count":5,"area":"diffusion"},{"id":"2506.07841","title":"Diffusion models under low-noise regime","created":"2025-06-09","cited_by_count":5,"area":"diffusion"},{"id":"2603.12901","title":"A theory of learning data statistics in diffusion models, from easy to hard","created":"2026-03-13","cited_by_count":5,"area":"diffusion"},{"id":"2505.17560","title":"Deeper Diffusion Models Amplify Bias","created":"2025-05-23","cited_by_count":4,"area":"diffusion"},{"id":"2506.06185","title":"Antithetic Noise in Diffusion Models","created":"2025-06-06","cited_by_count":4,"area":"diffusion"},{"id":"2506.10177","title":"Geometric Regularity in Deterministic Sampling Dynamics of Diffusion-based Generative Models","created":"2025-06-11","cited_by_count":4,"area":"diffusion"},{"id":"2508.07581","title":"When and how can inexact generative models still sample from the data manifold?","created":"2025-08-11","cited_by_count":4,"area":"diffusion"},{"id":"2505.22841","title":"Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study","created":"2025-05-28","cited_by_count":3,"area":"diffusion"},{"id":"2602.17846","title":"Two Calm Ends and the Wild Middle: A Geometric Picture of Memorization in Diffusion Models","created":"2026-02-19","cited_by_count":3,"area":"diffusion"},{"id":"2505.20123","title":"Understanding Generalization in Diffusion Distillation via Probability Flow Distance","created":"2025-05-26","cited_by_count":2,"area":"diffusion"},{"id":"2603.13419","title":"Diffusion Models Memorize in Training -- and Generalize in Inference","created":"2026-03-12","cited_by_count":2,"area":"diffusion"},{"id":"2508.16154","title":"On the Collapse Errors Induced by the Deterministic Sampler for Diffusion Models","created":"2025-08-22","cited_by_count":1,"area":"diffusion"},{"id":"2606.09718","title":"Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles","created":"2026-06-08","cited_by_count":1,"area":"diffusion"},{"id":"2501.07741","title":"Gaussian Universality for Diffusion Models","created":"2025-01-13","cited_by_count":0,"area":"diffusion"},{"id":"2601.13602","title":"A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models","created":"2026-01-20","cited_by_count":0,"area":"diffusion"},{"id":"2602.11395","title":"General and Efficient Steering of Diffusion Models","created":"2026-02-11","cited_by_count":0,"area":"diffusion"},{"id":"2603.13421","title":"Generalization and Memorization in Rectified Flow","created":"2026-03-12","cited_by_count":0,"area":"diffusion"},{"id":"2604.10074","title":"Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs","created":"2026-04-11","cited_by_count":0,"area":"diffusion"},{"id":"2605.17500","title":"The Silent Brush: Evaluating Artistic Style Leakage in AI Art Generation","created":"2026-05-17","cited_by_count":0,"area":"diffusion"},{"id":"2605.24192","title":"Filtered Posterior Mean Collections: A Unified Framework for Analytical Models of Diffusion Generalization","created":"2026-05-22","cited_by_count":0,"area":"diffusion"},{"id":"2606.02237","title":"Why Are DMD Students Lazy? Understanding the Copying Behavior in Few-Step Distillation","created":"2026-06-01","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}