{"total":28,"rows":[{"id":"2409.08861","title":"Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control","created":"2024-09-13","cited_by_count":233,"area":"diffusion"},{"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":"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":"2502.15681","title":"One-step Diffusion Models with $f$-Divergence Distribution Matching","created":"2025-02-21","cited_by_count":43,"area":"diffusion"},{"id":"2502.01819","title":"Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning","created":"2025-02-03","cited_by_count":33,"area":"diffusion"},{"id":"2408.15094","title":"Constrained Diffusion Models via Dual Training","created":"2024-08-27","cited_by_count":20,"area":"diffusion"},{"id":"2409.04832","title":"Reward-Directed Score-Based Diffusion Models via q-Learning","created":"2024-09-07","cited_by_count":19,"area":"diffusion"},{"id":"2409.08400","title":"Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning","created":"2024-09-12","cited_by_count":19,"area":"diffusion"},{"id":"2412.18164","title":"Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence","created":"2024-12-24","cited_by_count":19,"area":"diffusion"},{"id":"2511.22640","title":"Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning","created":"2025-11-27","cited_by_count":17,"area":"diffusion"},{"id":"2506.01320","title":"Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models","created":"2025-06-02","cited_by_count":15,"area":"diffusion"},{"id":"2506.15385","title":"Provable Maximum Entropy Manifold Exploration via Diffusion Models","created":"2025-06-18","cited_by_count":14,"area":"diffusion"},{"id":"2509.25171","title":"TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion","created":"2025-09-29","cited_by_count":14,"area":"diffusion"},{"id":"2508.14807","title":"Source-Guided Flow Matching","created":"2025-08-20","cited_by_count":13,"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":"2510.10767","title":"Understanding Sampler Stochasticity in Training Diffusion Models for RLHF","created":"2025-10-12","cited_by_count":7,"area":"diffusion"},{"id":"2502.02954","title":"Direct Distributional Optimization for Provable Alignment of Diffusion Models","created":"2025-02-05","cited_by_count":5,"area":"diffusion"},{"id":"2601.06514","title":"Inference-Time Alignment for Diffusion Models via Variationally Stable Doob's Matching","created":"2026-01-10","cited_by_count":5,"area":"diffusion"},{"id":"2407.00626","title":"Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models","created":"2024-06-30","cited_by_count":4,"area":"diffusion"},{"id":"2502.08808","title":"A First-order Generative Bilevel Optimization Framework for Diffusion Models","created":"2025-02-12","cited_by_count":4,"area":"diffusion"},{"id":"2512.03234","title":"Iterative Tilting for Diffusion Fine-Tuning","created":"2025-12-02","cited_by_count":4,"area":"diffusion"},{"id":"2509.02528","title":"Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models","created":"2025-09-02","cited_by_count":3,"area":"diffusion"},{"id":"2509.21167","title":"A Unified Framework for Diffusion Model Unlearning with f-Divergence","created":"2025-09-25","cited_by_count":2,"area":"diffusion"},{"id":"2602.08012","title":"A Unified Density Operator View of Flow Control and Merging","created":"2026-02-08","cited_by_count":2,"area":"diffusion"},{"id":"2603.06981","title":"Diffusion Controller: Framework, Algorithms and Parameterization","created":"2026-03-07","cited_by_count":2,"area":"diffusion"},{"id":"2606.12710","title":"A Stabilized Path-Space Approach to Diffusion-Based Posterior Sampling","created":"2026-06-10","cited_by_count":1,"area":"diffusion"},{"id":"2605.21661","title":"Hierarchical Variational Policies for Reward-Guided Diffusion","created":"2026-05-20","cited_by_count":0,"area":"diffusion"},{"id":"2608.18237","title":"Sobolev Regularized Score Difference Estimation in Diffusion Models","created":"2026-08-18","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}