{"total":43,"rows":[{"id":"2306.09251","title":"Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models","created":"2023-06-15","cited_by_count":85,"area":"diffusion"},{"id":"2301.13362","title":"Optimizing DDPM Sampling with Shortcut Fine-Tuning","created":"2023-01-31","cited_by_count":81,"area":"diffusion"},{"id":"2408.02320","title":"A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models","created":"2024-08-05","cited_by_count":65,"area":"diffusion"},{"id":"2402.07487","title":"Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial","created":"2024-02-12","cited_by_count":60,"area":"diffusion"},{"id":"2404.09730","title":"Convergence Analysis of Probability Flow ODE for Score-based Generative Models","created":"2024-04-15","cited_by_count":57,"area":"diffusion"},{"id":"2302.10025","title":"DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises","created":"2023-02-20","cited_by_count":50,"area":"diffusion"},{"id":"2404.02954","title":"Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections","created":"2024-04-03","cited_by_count":47,"area":"diffusion"},{"id":"2310.12395","title":"Closed-Form Diffusion Models","created":"2023-10-19","cited_by_count":46,"area":"diffusion"},{"id":"2401.04856","title":"A Good Score Does not Lead to A Good Generative Model","created":"2024-01-10","cited_by_count":36,"area":"diffusion"},{"id":"2401.13115","title":"Contractive Diffusion Probabilistic Models","created":"2024-01-23","cited_by_count":29,"area":"diffusion"},{"id":"2501.02298","title":"Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance","created":"2025-01-04","cited_by_count":29,"area":"diffusion"},{"id":"2311.13584","title":"On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates","created":"2023-11-22","cited_by_count":25,"area":"diffusion"},{"id":"2305.14164","title":"Improved Convergence of Score-Based Diffusion Models via Prediction-Correction","created":"2023-05-23","cited_by_count":24,"area":"diffusion"},{"id":"2405.16418","title":"Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective","created":"2024-05-26","cited_by_count":24,"area":"diffusion"},{"id":"2508.03210","title":"Convergence of Deterministic and Stochastic Diffusion-Model Samplers: A Simple Analysis in Wasserstein Distance","created":"2025-08-05","cited_by_count":21,"area":"diffusion"},{"id":"2405.15754","title":"Score-based generative models are provably robust: an uncertainty quantification perspective","created":"2024-05-24","cited_by_count":15,"area":"diffusion"},{"id":"2505.03432","title":"Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients","created":"2025-05-06","cited_by_count":15,"area":"diffusion"},{"id":"2309.00853","title":"Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction","created":"2023-09-02","cited_by_count":14,"area":"diffusion"},{"id":"2402.06162","title":"Wasserstein proximal operators describe score-based generative models and resolve memorization","created":"2024-02-09","cited_by_count":14,"area":"diffusion"},{"id":"2311.01226","title":"Optimal Transport-Guided Conditional Score-Based Diffusion Models","created":"2023-11-02","cited_by_count":11,"area":"diffusion"},{"id":"2410.14949","title":"On the Convergence and Straightness of Rectified Flow","created":"2024-10-19","cited_by_count":11,"area":"diffusion"},{"id":"2312.05989","title":"A Note on the Convergence of Denoising Diffusion Probabilistic Models","created":"2023-12-10","cited_by_count":9,"area":"diffusion"},{"id":"2506.09681","title":"Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds","created":"2025-06-11","cited_by_count":9,"area":"diffusion"},{"id":"2602.07022","title":"Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss","created":"2026-02-02","cited_by_count":9,"area":"diffusion"},{"id":"2503.01145","title":"CoInD: Enabling Logical Compositions in Diffusion Models","created":"2025-03-03","cited_by_count":8,"area":"diffusion"},{"id":"2409.03817","title":"Neural Entropy","created":"2024-09-05","cited_by_count":7,"area":"diffusion"},{"id":"2502.12631","title":"Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport","created":"2025-02-18","cited_by_count":6,"area":"diffusion"},{"id":"2505.18521","title":"Improved Immiscible Diffusion: Accelerate Diffusion Training by Reducing Its Miscibility","created":"2025-05-24","cited_by_count":4,"area":"diffusion"},{"id":"2311.16507","title":"Straighter Flow Matching via a Diffusion-Based Coupling Prior","created":"2023-11-28","cited_by_count":3,"area":"diffusion"},{"id":"2407.04495","title":"Speed-accuracy relations for diffusion models: Wisdom from nonequilibrium thermodynamics and optimal transport","created":"2024-07-05","cited_by_count":2,"area":"diffusion"},{"id":"2409.09614","title":"HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models","created":"2024-09-15","cited_by_count":2,"area":"diffusion"},{"id":"2410.13431","title":"Solving Prior Distribution Mismatch in Diffusion Models via Optimal Transport","created":"2024-10-17","cited_by_count":2,"area":"diffusion"},{"id":"2501.06999","title":"Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps","created":"2025-01-13","cited_by_count":2,"area":"diffusion"},{"id":"2409.17487","title":"Learning Quantized Adaptive Conditions for Diffusion Models","created":"2024-09-26","cited_by_count":1,"area":"diffusion"},{"id":"2508.10944","title":"Non-asymptotic convergence bound of conditional diffusion models","created":"2025-08-13","cited_by_count":1,"area":"diffusion"},{"id":"2606.15835","title":"Wasserstein Convergence of ODE-Based Samplers in Decentralized Diffusion Model via Velocity Field Decomposition","created":"2026-06-14","cited_by_count":1,"area":"diffusion"},{"id":"2312.03397","title":"Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning","created":"2023-12-06","cited_by_count":0,"area":"diffusion"},{"id":"2411.03723","title":"Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model","created":"2024-11-06","cited_by_count":0,"area":"diffusion"},{"id":"2508.00250","title":"Jet Image Generation in High Energy Physics Using Diffusion Models","created":"2025-08-01","cited_by_count":0,"area":"diffusion"},{"id":"2510.06174","title":"Thermodynamic Performance Limits for Score-Based Diffusion Models","created":"2025-10-07","cited_by_count":0,"area":"diffusion"},{"id":"2602.04139","title":"Generative Neural Operators through Diffusion Last Layer","created":"2026-02-04","cited_by_count":0,"area":"diffusion"},{"id":"2605.28711","title":"Stage-wise Distortion-Perception Traversal in Zero-shot Inverse Problems with Diffusion Models","created":"2026-05-27","cited_by_count":0,"area":"diffusion"},{"id":"2610.10190","title":"Universal Local Error and Realized Amplification for the First-Order EDM Predictor","created":"2026-10-07","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}