{"total":49,"rows":[{"id":"2412.09342","title":"Diffusion Predictive Control with Constraints","created":"2024-12-12","cited_by_count":33,"area":"diffusion"},{"id":"2506.08604","title":"Physics vs Distributions: Pareto Optimal Flow Matching with Physics Constraints","created":"2025-06-10","cited_by_count":28,"area":"diffusion"},{"id":"2506.07902","title":"FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling","created":"2025-06-09","cited_by_count":20,"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":"2508.14807","title":"Source-Guided Flow Matching","created":"2025-08-20","cited_by_count":13,"area":"diffusion"},{"id":"2408.02965","title":"Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator","created":"2024-08-06","cited_by_count":12,"area":"diffusion"},{"id":"2505.22391","title":"Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation","created":"2025-05-28","cited_by_count":11,"area":"diffusion"},{"id":"2510.19971","title":"Guiding diffusion models to reconstruct flow fields from sparse data","created":"2025-10-22","cited_by_count":11,"area":"diffusion"},{"id":"2505.12882","title":"PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems","created":"2025-05-19","cited_by_count":10,"area":"diffusion"},{"id":"2508.09156","title":"Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems","created":"2025-08-05","cited_by_count":10,"area":"diffusion"},{"id":"2504.07437","title":"Unifying and extending Diffusion Models through PDEs for solving Inverse Problems","created":"2025-04-10","cited_by_count":7,"area":"diffusion"},{"id":"2406.13154","title":"Conditional score-based diffusion models for solving inverse problems in mechanics","created":"2024-06-19","cited_by_count":6,"area":"diffusion"},{"id":"2410.23893","title":"DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis","created":"2024-10-31","cited_by_count":6,"area":"diffusion"},{"id":"2602.09708","title":"Physics-informed diffusion models in spectral space","created":"2026-02-10","cited_by_count":5,"area":"diffusion"},{"id":"2405.07097","title":"Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems","created":"2024-05-11","cited_by_count":4,"area":"diffusion"},{"id":"2504.00236","title":"Dynamics-aware Diffusion Models for Planning and Control","created":"2025-03-31","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":"2605.12754","title":"Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling","created":"2026-05-12","cited_by_count":3,"area":"diffusion"},{"id":"2508.11528","title":"Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series","created":"2025-08-15","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":"2509.20570","title":"PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models","created":"2025-09-24","cited_by_count":2,"area":"diffusion"},{"id":"2601.21234","title":"PHDME: Physics-Informed Diffusion Models without Explicit Governing Equations","created":"2026-01-29","cited_by_count":2,"area":"diffusion"},{"id":"2601.21284","title":"PILD: Physics-Informed Learning via Diffusion","created":"2026-01-29","cited_by_count":2,"area":"diffusion"},{"id":"2602.17773","title":"Learning Flow Distributions via Projection-Constrained Diffusion on Manifolds","created":"2026-02-19","cited_by_count":2,"area":"diffusion"},{"id":"2606.11277","title":"Least-Action-Guided Diffusion for Physical Extrapolation","created":"2026-06-09","cited_by_count":2,"area":"diffusion"},{"id":"2508.16640","title":"Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration","created":"2025-08-17","cited_by_count":1,"area":"diffusion"},{"id":"2512.14980","title":"Softly Constrained Denoisers for Diffusion Models Applied to Partial Differential Equations","created":"2025-12-17","cited_by_count":1,"area":"diffusion"},{"id":"2603.02447","title":"Spectral Regularization for Diffusion Models","created":"2026-03-02","cited_by_count":1,"area":"diffusion"},{"id":"2603.15627","title":"Physics-Informed Video Diffusion For Shallow Water Equations","created":"2026-02-24","cited_by_count":1,"area":"diffusion"},{"id":"2605.16118","title":"Multi-Fidelity Flow Matching: Cascaded Refinement of PDE Solutions","created":"2026-05-15","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":"2508.01589","title":"Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences","created":"2025-08-03","cited_by_count":0,"area":"diffusion"},{"id":"2509.24117","title":"GeoFunFlow: Geometric Function Flow Matching for Inverse Operator Learning over Complex Geometries","created":"2025-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2512.01572","title":"Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade","created":"2025-12-01","cited_by_count":0,"area":"diffusion"},{"id":"2601.07946","title":"Coupled Diffusion-Encoder Models for Reconstruction of Flow Fields","created":"2026-01-12","cited_by_count":0,"area":"diffusion"},{"id":"2603.06614","title":"Correlation Analysis of Generative Models","created":"2026-02-20","cited_by_count":0,"area":"diffusion"},{"id":"2604.03409","title":"Generative AI for material design: A mechanics perspective from burgers to matter","created":"2026-04-03","cited_by_count":0,"area":"diffusion"},{"id":"2604.08357","title":"Bias-Constrained Diffusion Schedules for PDE Emulations: Reconstruction Error Minimization and Efficient Unrolled Training","created":"2026-04-09","cited_by_count":0,"area":"diffusion"},{"id":"2604.21809","title":"Quotient-Space Diffusion Models","created":"2026-04-23","cited_by_count":0,"area":"diffusion"},{"id":"2604.23867","title":"Learning Interpretable PDE Representations for Generative Reconstructions with Structured Sparsity","created":"2026-04-26","cited_by_count":0,"area":"diffusion"},{"id":"2606.00349","title":"(HB-ARFM) History-Bootstrapped Flow Matching for Inverse Boiling Reconstruction","created":"2026-05-29","cited_by_count":0,"area":"diffusion"},{"id":"2606.00988","title":"Data Enrichment for Symbolic Regression Using Diffusion Models","created":"2026-05-31","cited_by_count":0,"area":"diffusion"},{"id":"2607.14398","title":"Integration Matters: Rollout-Based Training for Constrained Diffusion Models","created":"2026-07-15","cited_by_count":0,"area":"diffusion"},{"id":"2608.26748","title":"Self-Augmented Diffusion Guidance for Physics-Informed Generation","created":"2026-08-27","cited_by_count":0,"area":"diffusion"},{"id":"2609.07300","title":"PCFlow: Physics-Conditioned Flow Matching for GPR B-Scan Image Synthesis","created":"2026-09-07","cited_by_count":0,"area":"diffusion"},{"id":"2609.33510","title":"Source Anchoring for Physical Consistency in Flow Matching Models","created":"2026-09-27","cited_by_count":0,"area":"diffusion"},{"id":"2610.01759","title":"PhysDEM: Physics-Defined Energy-Matching Diffusion for Spatiotemporal Field Generation under Scarce Measurements","created":"2026-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2610.15689","title":"When do explicit penalties improve flow matching?","created":"2026-10-11","cited_by_count":0,"area":"diffusion"},{"id":"2610.16582","title":"Characterizing and Mitigating Distributional Bias in Physics-Informed Generative Models","created":"2026-10-12","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}