{"total":38,"rows":[{"id":"2502.03444","title":"Masked Autoencoders Are Effective Tokenizers for Diffusion Models","created":"2025-02-05","cited_by_count":96,"area":"diffusion"},{"id":"2409.02426","title":"Breaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional Distributions","created":"2024-09-04","cited_by_count":53,"area":"diffusion"},{"id":"2409.13074","title":"What does guidance do? A fine-grained analysis in a simple setting","created":"2024-09-19","cited_by_count":48,"area":"diffusion"},{"id":"2405.15986","title":"Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity","created":"2024-05-24","cited_by_count":42,"area":"diffusion"},{"id":"2412.09726","title":"The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications","created":"2024-12-12","cited_by_count":32,"area":"diffusion"},{"id":"2405.16418","title":"Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective","created":"2024-05-26","cited_by_count":24,"area":"diffusion"},{"id":"2503.09583","title":"Minimax Optimality of the Probability Flow ODE for Diffusion Models","created":"2025-03-12","cited_by_count":23,"area":"diffusion"},{"id":"2504.05300","title":"Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures","created":"2025-04-07","cited_by_count":23,"area":"diffusion"},{"id":"2505.21400","title":"Breaking AR's Sampling Bottleneck: Provable Acceleration via Diffusion Language Models","created":"2025-05-27","cited_by_count":23,"area":"diffusion"},{"id":"2411.17522","title":"On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality","created":"2024-11-26","cited_by_count":22,"area":"diffusion"},{"id":"2508.17689","title":"On the Edge of Memorization in Diffusion Models","created":"2025-08-25","cited_by_count":22,"area":"diffusion"},{"id":"2412.01021","title":"On the Feature Learning in Diffusion Models","created":"2024-12-02","cited_by_count":20,"area":"diffusion"},{"id":"2603.22248","title":"Confidence-Based Decoding is Provably Efficient for Diffusion Language Models","created":"2026-03-23","cited_by_count":18,"area":"diffusion"},{"id":"2502.21278","title":"Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion","created":"2025-02-28","cited_by_count":17,"area":"diffusion"},{"id":"2405.03251","title":"Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond","created":"2024-05-06","cited_by_count":15,"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":"2512.20963","title":"Generalization of Diffusion Models Arises with a Balanced Representation Space","created":"2025-12-24","cited_by_count":11,"area":"diffusion"},{"id":"2602.20126","title":"Adaptation to Intrinsic Dependence in Diffusion Language Models","created":"2026-02-23","cited_by_count":10,"area":"diffusion"},{"id":"2405.20494","title":"Slight Corruption in Pre-training Data Makes Better Diffusion Models","created":"2024-05-30","cited_by_count":9,"area":"diffusion"},{"id":"2410.13746","title":"Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers","created":"2024-10-17","cited_by_count":7,"area":"diffusion"},{"id":"2501.00988","title":"Optimizing Noise Schedules of Generative Models in High Dimensionss","created":"2025-01-02","cited_by_count":7,"area":"diffusion"},{"id":"2507.03756","title":"Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis","created":"2025-07-04","cited_by_count":7,"area":"diffusion"},{"id":"2601.10708","title":"High-accuracy and dimension-free sampling with diffusions","created":"2026-01-15","cited_by_count":7,"area":"diffusion"},{"id":"2510.12691","title":"DiffEM: Learning from Corrupted Data with Diffusion Models via Expectation Maximization","created":"2025-10-14","cited_by_count":6,"area":"diffusion"},{"id":"2505.04417","title":"Localized Diffusion Models","created":"2025-05-07","cited_by_count":5,"area":"diffusion"},{"id":"2601.06715","title":"Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling Guarantees","created":"2026-01-10","cited_by_count":5,"area":"diffusion"},{"id":"2601.22443","title":"Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance","created":"2026-01-30","cited_by_count":4,"area":"diffusion"},{"id":"2502.04670","title":"CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation","created":"2025-02-07","cited_by_count":3,"area":"diffusion"},{"id":"2511.22069","title":"Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian","created":"2025-11-27","cited_by_count":3,"area":"diffusion"},{"id":"2512.01820","title":"Dimension-free error estimate for diffusion model and optimal scheduling","created":"2025-12-01","cited_by_count":3,"area":"diffusion"},{"id":"2607.15485","title":"Diffusion models recover accurate mixture weights despite score function insensitivity","created":"2026-07-16","cited_by_count":3,"area":"diffusion"},{"id":"2607.26285","title":"Denoising growth complexity: Data geometry and certified schedules for diffusion sampling","created":"2026-07-28","cited_by_count":2,"area":"diffusion"},{"id":"2605.21911","title":"Noise Schedule Design for Diffusion Models: An Optimal Control Perspective","created":"2026-05-21","cited_by_count":1,"area":"diffusion"},{"id":"2606.03820","title":"A Quantitative Approximation Framework for Flow Distillation in Diffusion Models","created":"2026-06-02","cited_by_count":1,"area":"diffusion"},{"id":"2606.19876","title":"Global Convergence of Gradient Descent for Score Matching in Gaussian Mixtures via Reverse Fisher Divergence","created":"2026-06-18","cited_by_count":1,"area":"diffusion"},{"id":"2504.00952","title":"Personalized Federated Training of Diffusion Models with Privacy Guarantees","created":"2025-04-01","cited_by_count":0,"area":"diffusion"},{"id":"2609.27546","title":"Robustness of Diffusion Models under Distribution Shift","created":"2026-09-23","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}