{"total":23,"rows":[{"id":"2403.06279","title":"Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond","created":"2024-03-10","cited_by_count":42,"area":"diffusion"},{"id":"2412.17762","title":"The Superposition of Diffusion Models Using the It\\^o Density Estimator","created":"2024-12-23","cited_by_count":36,"area":"diffusion"},{"id":"2412.07775","title":"Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets","created":"2024-12-10","cited_by_count":32,"area":"diffusion"},{"id":"2406.00633","title":"Improving GFlowNets for Text-to-Image Diffusion Alignment","created":"2024-06-02","cited_by_count":27,"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":"2506.05668","title":"RNE: plug-and-play diffusion inference-time control and energy-based training","created":"2025-06-06","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":"2510.00815","title":"Learn to Guide Your Diffusion Model","created":"2025-10-01","cited_by_count":14,"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":"2509.23265","title":"CREPE: Controlling Diffusion with Replica Exchange","created":"2025-09-27","cited_by_count":11,"area":"diffusion"},{"id":"2505.23062","title":"Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data","created":"2025-05-29","cited_by_count":9,"area":"diffusion"},{"id":"2503.05730","title":"Robust Optimization with Diffusion Models for Green Security","created":"2025-02-19","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":"2510.12238","title":"A Gradient Guided Diffusion Framework for Chance Constrained Programming","created":"2025-10-14","cited_by_count":2,"area":"diffusion"},{"id":"2606.17192","title":"Constrained Diffusion Models with Primal-Dual Inference","created":"2026-06-15","cited_by_count":2,"area":"diffusion"},{"id":"2502.10330","title":"Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement","created":"2025-02-14","cited_by_count":1,"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":"2602.05549","title":"Logical Guidance for the Exact Composition of Diffusion Models","created":"2026-02-05","cited_by_count":1,"area":"diffusion"},{"id":"2602.15423","title":"GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search","created":"2026-02-17","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"},{"id":"2608.29507","title":"Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion","created":"2026-08-30","cited_by_count":0,"area":"diffusion"},{"id":"2609.35289","title":"Domain-adaptive Zero-Shot Image Enhancement via Locality-Constrained Diffusion Guidance","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2610.03071","title":"Learn Feasibility Once, Optimize All Objectives: Derivative-Free Diffusion Models for Chance-Constrained Programming","created":"2026-10-02","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}