{"total":36,"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":"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":"2308.05384","title":"Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization","created":"2023-08-10","cited_by_count":56,"area":"diffusion"},{"id":"2402.16359","title":"Feedback Efficient Online Fine-Tuning of Diffusion Models","created":"2024-02-26","cited_by_count":53,"area":"diffusion"},{"id":"2402.18012","title":"Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints","created":"2024-02-28","cited_by_count":35,"area":"diffusion"},{"id":"2602.05993","title":"Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps","created":"2026-02-05","cited_by_count":29,"area":"diffusion"},{"id":"2405.19673","title":"Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models","created":"2024-05-30","cited_by_count":25,"area":"diffusion"},{"id":"2403.13219","title":"Diffusion Model for Data-Driven Black-Box Optimization","created":"2024-03-20","cited_by_count":24,"area":"diffusion"},{"id":"2403.05571","title":"DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization","created":"2024-02-22","cited_by_count":20,"area":"diffusion"},{"id":"2410.02543","title":"Diffusion Models are Evolutionary Algorithms","created":"2024-10-03","cited_by_count":17,"area":"diffusion"},{"id":"2509.25170","title":"GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models","created":"2025-09-29","cited_by_count":17,"area":"diffusion"},{"id":"2407.01624","title":"Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization","created":"2024-06-29","cited_by_count":15,"area":"diffusion"},{"id":"2411.00453","title":"Diffusion Models as Network Optimizers: Explorations and Analysis","created":"2024-11-01","cited_by_count":13,"area":"diffusion"},{"id":"2502.16824","title":"Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization","created":"2025-02-24","cited_by_count":13,"area":"diffusion"},{"id":"2503.17299","title":"Preference-Guided Diffusion for Multi-Objective Offline Optimization","created":"2025-03-21","cited_by_count":12,"area":"diffusion"},{"id":"2406.00990","title":"Constraint-Aware Diffusion Models for Trajectory Optimization","created":"2024-06-03","cited_by_count":11,"area":"diffusion"},{"id":"2405.13964","title":"Design Editing for Offline Model-based Optimization","created":"2024-05-22","cited_by_count":10,"area":"diffusion"},{"id":"2410.00983","title":"Robust Guided Diffusion for Offline Black-Box Optimization","created":"2024-10-01","cited_by_count":8,"area":"diffusion"},{"id":"2502.01692","title":"Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation","created":"2025-02-02","cited_by_count":7,"area":"diffusion"},{"id":"2504.00342","title":"Aligning Diffusion Model with Problem Constraints for Trajectory Optimization","created":"2025-04-01","cited_by_count":7,"area":"diffusion"},{"id":"2506.10955","title":"ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems","created":"2025-06-12","cited_by_count":5,"area":"diffusion"},{"id":"2510.11590","title":"Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization","created":"2025-10-13","cited_by_count":5,"area":"diffusion"},{"id":"2406.00812","title":"Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation","created":"2024-06-02","cited_by_count":4,"area":"diffusion"},{"id":"2410.01796","title":"Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space","created":"2024-10-02","cited_by_count":4,"area":"diffusion"},{"id":"2508.01509","title":"A Reward-Directed Diffusion Framework for Generative Design Optimization","created":"2025-08-02","cited_by_count":2,"area":"diffusion"},{"id":"2509.21058","title":"SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion","created":"2025-09-25","cited_by_count":2,"area":"diffusion"},{"id":"2510.12238","title":"A Gradient Guided Diffusion Framework for Chance Constrained Programming","created":"2025-10-14","cited_by_count":2,"area":"diffusion"},{"id":"2602.00737","title":"Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization","created":"2026-01-31","cited_by_count":2,"area":"diffusion"},{"id":"2506.05680","title":"Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization","created":"2025-06-06","cited_by_count":1,"area":"diffusion"},{"id":"2605.10385","title":"Regret Analysis of Guided Diffusion for Black-Box Optimization over Structured Inputs","created":"2026-05-11","cited_by_count":1,"area":"diffusion"},{"id":"2609.37875","title":"Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse Design","created":"2026-09-29","cited_by_count":1,"area":"diffusion"},{"id":"2508.07220","title":"Neural Bridge Processes","created":"2025-08-10","cited_by_count":0,"area":"diffusion"},{"id":"2509.23800","title":"Sample-Efficient Optimisation over the Outputs of Generative Models","created":"2025-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2606.08438","title":"Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models","created":"2026-06-07","cited_by_count":0,"area":"diffusion"},{"id":"2609.22752","title":"D-IMPL: A Diffusion-based Solver for Parameterized BBOs","created":"2026-09-19","cited_by_count":0,"area":"diffusion"},{"id":"2610.12870","title":"Localized Generative Design of Ship Hulls with Diffusion Models and High-Fidelity Assessment","created":"2026-10-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}