{"total":18,"rows":[{"id":"2407.13734","title":"Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review","created":"2024-07-18","cited_by_count":98,"area":"diffusion"},{"id":"2402.06320","title":"Particle Denoising Diffusion Sampler","created":"2024-02-09","cited_by_count":65,"area":"diffusion"},{"id":"2402.08667","title":"Target Score Matching","created":"2024-02-13","cited_by_count":50,"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":"2407.01573","title":"Model-Based Diffusion for Trajectory Optimization","created":"2024-05-28","cited_by_count":32,"area":"diffusion"},{"id":"2402.17886","title":"Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion","created":"2024-02-27","cited_by_count":19,"area":"diffusion"},{"id":"2502.06999","title":"Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models","created":"2025-02-10","cited_by_count":17,"area":"diffusion"},{"id":"2601.08136","title":"Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies","created":"2026-01-13","cited_by_count":12,"area":"diffusion"},{"id":"2410.19449","title":"Learned Reference-based Diffusion Sampling for multi-modal distributions","created":"2024-10-25","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":"2512.20003","title":"Control Variate Score Matching for Diffusion Models","created":"2025-12-23","cited_by_count":6,"area":"diffusion"},{"id":"2406.14040","title":"A Practical Diffusion Path for Sampling","created":"2024-06-20","cited_by_count":5,"area":"diffusion"},{"id":"2602.20549","title":"Sample-efficient evidence estimation of score based priors for model selection","created":"2026-02-24","cited_by_count":3,"area":"diffusion"},{"id":"2602.05961","title":"Discrete diffusion samplers and bridges: Off-policy algorithms and applications in latent spaces","created":"2026-02-05","cited_by_count":2,"area":"diffusion"},{"id":"2609.00279","title":"Exact Global MCMC with Denoising Diffusion","created":"2026-08-31","cited_by_count":2,"area":"diffusion"},{"id":"2406.09665","title":"New algorithms for sampling and diffusion models","created":"2024-06-14","cited_by_count":1,"area":"diffusion"},{"id":"2605.04013","title":"Conditional Diffusion Sampling","created":"2026-05-05","cited_by_count":1,"area":"diffusion"},{"id":"2603.29555","title":"Total Variation Guarantees for Sampling with Stochastic Localization","created":"2026-03-31","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}