{"total":41,"rows":[{"id":"2408.09000","title":"Classifier-Free Guidance is a Predictor-Corrector","created":"2024-08-16","cited_by_count":84,"area":"diffusion"},{"id":"2403.03852","title":"Accelerating Convergence of Score-Based Diffusion Models, Provably","created":"2024-03-06","cited_by_count":76,"area":"diffusion"},{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"area":"diffusion"},{"id":"2408.02320","title":"A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models","created":"2024-08-05","cited_by_count":65,"area":"diffusion"},{"id":"2404.09730","title":"Convergence Analysis of Probability Flow ODE for Score-based Generative Models","created":"2024-04-15","cited_by_count":57,"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":"2410.09046","title":"Linear Convergence of Diffusion Models Under the Manifold Hypothesis","created":"2024-10-11","cited_by_count":45,"area":"diffusion"},{"id":"2404.18869","title":"Learning Mixtures of Gaussians Using Diffusion Models","created":"2024-04-29","cited_by_count":42,"area":"diffusion"},{"id":"2410.04760","title":"Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models","created":"2024-10-07","cited_by_count":35,"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":"2506.03979","title":"Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach","created":"2025-06-04","cited_by_count":18,"area":"diffusion"},{"id":"2404.18444","title":"U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models","created":"2024-04-29","cited_by_count":17,"area":"diffusion"},{"id":"2509.22007","title":"Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models","created":"2025-09-26","cited_by_count":16,"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":"2501.03937","title":"A solvable model of learning generative diffusion: theory and insights","created":"2025-01-07","cited_by_count":14,"area":"diffusion"},{"id":"2502.00968","title":"CoDe: Blockwise Control for Denoising Diffusion Models","created":"2025-02-03","cited_by_count":14,"area":"diffusion"},{"id":"2510.00815","title":"Learn to Guide Your Diffusion Model","created":"2025-10-01","cited_by_count":14,"area":"diffusion"},{"id":"2602.05533","title":"Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach","created":"2026-02-05","cited_by_count":11,"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":"2506.10971","title":"What Exactly Does Guidance Do in Masked Discrete Diffusion Models","created":"2025-06-12","cited_by_count":9,"area":"diffusion"},{"id":"2506.11039","title":"Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation","created":"2025-05-21","cited_by_count":9,"area":"diffusion"},{"id":"2506.13061","title":"Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models","created":"2025-06-16","cited_by_count":9,"area":"diffusion"},{"id":"2501.18865","title":"REG: Rectified Gradient Guidance for Conditional Diffusion Models","created":"2025-01-31","cited_by_count":8,"area":"diffusion"},{"id":"2505.01382","title":"Provable Efficiency of Guidance in Diffusion Models for General Data Distribution","created":"2025-05-02","cited_by_count":8,"area":"diffusion"},{"id":"2512.04985","title":"Towards a unified framework for guided diffusion models","created":"2025-12-04","cited_by_count":8,"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":"2510.10767","title":"Understanding Sampler Stochasticity in Training Diffusion Models for RLHF","created":"2025-10-12","cited_by_count":7,"area":"diffusion"},{"id":"2505.23264","title":"Efficiently Access Diffusion Fisher: Within the Outer Product Span Space","created":"2025-05-29","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":"2602.00716","title":"Emergence of Distortions in High-Dimensional Guided Diffusion Models","created":"2026-01-31","cited_by_count":4,"area":"diffusion"},{"id":"2606.02884","title":"Are we really tilting? The mechanics of reward guidance in flow and diffusion models","created":"2026-06-01","cited_by_count":3,"area":"diffusion"},{"id":"2411.17807","title":"A solvable generative model with a linear, one-step denoiser","created":"2024-11-26","cited_by_count":2,"area":"diffusion"},{"id":"2505.13213","title":"Diffusion Models with Double Guidance: Generate with aggregated datasets","created":"2025-05-19","cited_by_count":2,"area":"diffusion"},{"id":"2503.10638","title":"Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective","created":"2025-03-13","cited_by_count":1,"area":"diffusion"},{"id":"2508.10944","title":"Non-asymptotic convergence bound of conditional diffusion models","created":"2025-08-13","cited_by_count":1,"area":"diffusion"},{"id":"2601.21200","title":"Provably Reliable Classifier Guidance via Cross-Entropy Control","created":"2026-01-29","cited_by_count":1,"area":"diffusion"},{"id":"2605.07220","title":"On the Robustness of Distribution Support under Diffusion Guidance","created":"2026-05-08","cited_by_count":1,"area":"diffusion"},{"id":"2606.06007","title":"Diffusion Models for Adaptive Sequential Data Generation","created":"2026-06-04","cited_by_count":1,"area":"diffusion"},{"id":"2609.35947","title":"FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models","created":"2026-09-28","cited_by_count":1,"area":"diffusion"},{"id":"2608.19067","title":"Diffusion Models for High-Dimensional Clustered Data: Intrinsic-Dimension Adaptivity via Bayesian Classification","created":"2026-08-19","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}