{"total":32,"rows":[{"id":"2403.14404","title":"Physics-Informed Diffusion Models","created":"2024-03-21","cited_by_count":90,"area":"diffusion"},{"id":"2402.03559","title":"Constrained Synthesis with Projected Diffusion Models","created":"2024-02-05","cited_by_count":89,"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":"2412.09342","title":"Diffusion Predictive Control with Constraints","created":"2024-12-12","cited_by_count":33,"area":"diffusion"},{"id":"2410.18070","title":"Training Free Guided Flow Matching with Optimal Control","created":"2024-10-23","cited_by_count":25,"area":"diffusion"},{"id":"2405.01758","title":"CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning","created":"2024-05-02","cited_by_count":21,"area":"diffusion"},{"id":"2408.15094","title":"Constrained Diffusion Models via Dual Training","created":"2024-08-27","cited_by_count":20,"area":"diffusion"},{"id":"2502.05625","title":"Training-Free Constrained Generation With Stable Diffusion Models","created":"2025-02-08","cited_by_count":20,"area":"diffusion"},{"id":"2406.12120","title":"Adding Conditional Control to Diffusion Models with Reinforcement Learning","created":"2024-06-17","cited_by_count":16,"area":"diffusion"},{"id":"2502.15043","title":"DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories","created":"2025-02-20","cited_by_count":14,"area":"diffusion"},{"id":"2409.16012","title":"PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation","created":"2024-09-24","cited_by_count":11,"area":"diffusion"},{"id":"2505.13131","title":"Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing","created":"2025-05-19","cited_by_count":11,"area":"diffusion"},{"id":"2506.01121","title":"Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation","created":"2025-06-01","cited_by_count":10,"area":"diffusion"},{"id":"2508.19104","title":"Composition and Alignment of Diffusion Models using Constrained Learning","created":"2025-08-26","cited_by_count":10,"area":"diffusion"},{"id":"2407.21314","title":"State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics","created":"2024-07-31","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":"2506.02955","title":"UniConFlow: A Unified Constrained Flow-Matching Framework for Certified Motion Planning","created":"2025-06-03","cited_by_count":5,"area":"diffusion"},{"id":"2407.03333","title":"C-ShipGen: A Conditional Guided Diffusion Model for Parametric Ship Hull Design","created":"2024-05-10","cited_by_count":4,"area":"diffusion"},{"id":"2502.15613","title":"Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy Approach","created":"2025-02-21","cited_by_count":3,"area":"diffusion"},{"id":"2510.17245","title":"On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders","created":"2025-10-20","cited_by_count":3,"area":"diffusion"},{"id":"2408.08526","title":"Inverse design with conditional cascaded diffusion models","created":"2024-08-16","cited_by_count":2,"area":"diffusion"},{"id":"2509.11621","title":"Inference-stage Adaptation-projection Strategy Adapts Diffusion Policy to Cross-manipulators Scenarios","created":"2025-09-15","cited_by_count":2,"area":"diffusion"},{"id":"2411.00359","title":"Linearly Constrained Diffusion Implicit Models","created":"2024-11-01","cited_by_count":1,"area":"diffusion"},{"id":"2511.03100","title":"Scaling Multi-Agent Environment Co-Design with Diffusion Models","created":"2025-11-05","cited_by_count":1,"area":"diffusion"},{"id":"2603.15925","title":"Generative Inverse Design with Abstention via Diagonal Flow Matching","created":"2026-03-16","cited_by_count":1,"area":"diffusion"},{"id":"2606.00366","title":"GLENS: Global Search via Learning from Solver Iterates with Diffusion Models","created":"2026-05-29","cited_by_count":1,"area":"diffusion"},{"id":"2607.07233","title":"HPG-Diff: Hierarchical physics-guided diffusion with differentiable connectivity constraints for topology optimization","created":"2026-07-08","cited_by_count":1,"area":"diffusion"},{"id":"2508.01589","title":"Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences","created":"2025-08-03","cited_by_count":0,"area":"diffusion"},{"id":"2607.10842","title":"D-SafeMPC: Diffusion-Driven Safe Model Predictive Control with Discrete-Time Control Barrier Functions","created":"2026-07-12","cited_by_count":0,"area":"diffusion"},{"id":"2608.13669","title":"Multiphase-Diff: Diffusion-Based Generative Modeling for High-Contrast Multiphase Physical Systems with Sharp Interfaces","created":"2026-08-13","cited_by_count":0,"area":"diffusion"},{"id":"2609.00863","title":"Conditional Flow Matching for ML-Based Inverse Design Problems","created":"2026-09-01","cited_by_count":0,"area":"diffusion"},{"id":"2610.12699","title":"Primal-Dual Flow Matching for Sample-Wise Constrained Generation","created":"2026-10-08","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}