{"total":38,"rows":[{"id":"2406.17763","title":"DiffusionPDE: Generative PDE-Solving Under Partial Observation","created":"2024-06-25","cited_by_count":108,"area":"diffusion"},{"id":"2402.09470","title":"Rolling Diffusion Models","created":"2024-02-12","cited_by_count":104,"area":"diffusion"},{"id":"2309.01745","title":"Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation","created":"2023-09-04","cited_by_count":71,"area":"diffusion"},{"id":"2410.16415","title":"On conditional diffusion models for PDE simulations","created":"2024-10-21","cited_by_count":60,"area":"diffusion"},{"id":"2412.01786","title":"Gradient-Free Generation for Hard-Constrained Systems","created":"2024-12-02","cited_by_count":38,"area":"diffusion"},{"id":"2409.08477","title":"Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling","created":"2024-09-13","cited_by_count":36,"area":"diffusion"},{"id":"2503.13695","title":"Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems","created":"2025-03-17","cited_by_count":31,"area":"diffusion"},{"id":"2412.04833","title":"Wavelet Diffusion Neural Operator","created":"2024-12-06","cited_by_count":29,"area":"diffusion"},{"id":"2503.22600","title":"Generative Latent Neural PDE Solver using Flow Matching","created":"2025-03-28","cited_by_count":28,"area":"diffusion"},{"id":"2410.01153","title":"Text2PDE: Latent Diffusion Models for Accessible Physics Simulation","created":"2024-10-02","cited_by_count":25,"area":"diffusion"},{"id":"2504.02843","title":"Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks","created":"2025-03-19","cited_by_count":25,"area":"diffusion"},{"id":"2503.18731","title":"Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos","created":"2025-03-24","cited_by_count":21,"area":"diffusion"},{"id":"2507.02608","title":"Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation","created":"2025-07-03","cited_by_count":19,"area":"diffusion"},{"id":"2502.12632","title":"MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation","created":"2025-02-18","cited_by_count":14,"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":"2512.05297","title":"CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators","created":"2025-12-04","cited_by_count":11,"area":"diffusion"},{"id":"2507.03602","title":"Kinetic Langevin Diffusion for Crystalline Materials Generation","created":"2025-07-04","cited_by_count":9,"area":"diffusion"},{"id":"2505.18647","title":"STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation","created":"2025-05-24","cited_by_count":8,"area":"diffusion"},{"id":"2511.19390","title":"Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme","created":"2025-11-24","cited_by_count":5,"area":"diffusion"},{"id":"2604.17149","title":"FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation","created":"2026-04-18","cited_by_count":5,"area":"diffusion"},{"id":"2505.24145","title":"Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction","created":"2025-05-30","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":"2510.06637","title":"Control-Augmented Autoregressive Diffusion for Data Assimilation","created":"2025-10-08","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":"2602.04139","title":"Generative Neural Operators through Diffusion Last Layer","created":"2026-02-04","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":"2604.11403","title":"One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions","created":"2026-04-13","cited_by_count":0,"area":"diffusion"},{"id":"2605.03548","title":"PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics","created":"2026-05-05","cited_by_count":0,"area":"diffusion"},{"id":"2605.16573","title":"Wavelet Flow Matching for Multi-Scale Physics Emulation","created":"2026-05-15","cited_by_count":0,"area":"diffusion"},{"id":"2607.13022","title":"A Shortcut to Statistically Steady-State Turbulence with Flow Matching","created":"2026-07-14","cited_by_count":0,"area":"diffusion"},{"id":"2607.16238","title":"Diffusion-corrected Autoregressive Fourier Neural Operator for Droplet Evolution Prediction","created":"2026-06-25","cited_by_count":0,"area":"diffusion"},{"id":"2608.00675","title":"Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors","created":"2026-08-01","cited_by_count":0,"area":"diffusion"},{"id":"2608.26737","title":"Generative Semantic Scene Completion","created":"2026-08-27","cited_by_count":0,"area":"diffusion"},{"id":"2608.26766","title":"MeshPriorDiT: Hierarchical Modeling for Action-Conditioned Cloth Dynamics","created":"2026-08-27","cited_by_count":0,"area":"diffusion"},{"id":"2609.00297","title":"Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains","created":"2026-08-31","cited_by_count":0,"area":"diffusion"},{"id":"2610.00785","title":"VTV-FM: Flow Matching through Variational Terminal-Velocity Closure","created":"2026-09-30","cited_by_count":0,"area":"diffusion"},{"id":"2610.03396","title":"A Unified Framework for Bayesian Data Assimilation with Generative Models and Observation Interpolants","created":"2026-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2610.20369","title":"ReAl: Refine neural operators via aligning dynamical flow","created":"2026-10-14","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}