{"total":51,"rows":[{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"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":"2404.14743","title":"Gradient Guidance for Diffusion Models: An Optimization Perspective","created":"2024-04-23","cited_by_count":61,"area":"diffusion"},{"id":"2409.13074","title":"What does guidance do? A fine-grained analysis in a simple setting","created":"2024-09-19","cited_by_count":48,"area":"diffusion"},{"id":"2501.12982","title":"Low-dimensional adaptation of diffusion models: Convergence in total variation","created":"2025-01-22","cited_by_count":39,"area":"diffusion"},{"id":"2411.17522","title":"On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality","created":"2024-11-26","cited_by_count":22,"area":"diffusion"},{"id":"2404.18444","title":"U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models","created":"2024-04-29","cited_by_count":17,"area":"diffusion"},{"id":"2509.22623","title":"A Theoretical Analysis of Discrete Flow Matching Generative Models","created":"2025-09-26","cited_by_count":14,"area":"diffusion"},{"id":"2510.00815","title":"Learn to Guide Your Diffusion Model","created":"2025-10-01","cited_by_count":14,"area":"diffusion"},{"id":"2511.03202","title":"Provable Separations between Memorization and Generalization in Diffusion Models","created":"2025-11-05","cited_by_count":14,"area":"diffusion"},{"id":"2412.11744","title":"Conditional Diffusion Models Based Conditional Independence Testing","created":"2024-12-16","cited_by_count":9,"area":"diffusion"},{"id":"2512.04985","title":"Towards a unified framework for guided diffusion models","created":"2025-12-04","cited_by_count":8,"area":"diffusion"},{"id":"2410.13746","title":"Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers","created":"2024-10-17","cited_by_count":7,"area":"diffusion"},{"id":"2510.21512","title":"Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations","created":"2025-10-24","cited_by_count":6,"area":"diffusion"},{"id":"2511.05480","title":"On Flow Matching KL Divergence","created":"2025-11-07","cited_by_count":6,"area":"diffusion"},{"id":"2407.16134","title":"Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data","created":"2024-07-23","cited_by_count":5,"area":"diffusion"},{"id":"2502.04491","title":"Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning","created":"2025-02-06","cited_by_count":5,"area":"diffusion"},{"id":"2507.09916","title":"Dynamic data generation and dynamic portfolio selection: an application of a score-based diffusion model","created":"2025-07-14","cited_by_count":5,"area":"diffusion"},{"id":"2601.06514","title":"Inference-Time Alignment for Diffusion Models via Variationally Stable Doob's Matching","created":"2026-01-10","cited_by_count":5,"area":"diffusion"},{"id":"2503.12563","title":"Diffusion on Graph: Augmentation of Graph Structure for Node Classification","created":"2025-03-16","cited_by_count":4,"area":"diffusion"},{"id":"2602.00716","title":"Emergence of Distortions in High-Dimensional Guided Diffusion Models","created":"2026-01-31","cited_by_count":4,"area":"diffusion"},{"id":"2405.12684","title":"Model Free Prediction with Uncertainty Assessment","created":"2024-05-21","cited_by_count":3,"area":"diffusion"},{"id":"2504.00220","title":"Can Diffusion Models Disentangle? A Theoretical Perspective","created":"2025-03-31","cited_by_count":3,"area":"diffusion"},{"id":"2505.13213","title":"Diffusion Models with Double Guidance: Generate with aggregated datasets","created":"2025-05-19","cited_by_count":2,"area":"diffusion"},{"id":"2505.18344","title":"Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access","created":"2025-05-23","cited_by_count":2,"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":"2508.08687","title":"Expert-Guided Diffusion Planner for Auto-Bidding","created":"2025-08-12","cited_by_count":2,"area":"diffusion"},{"id":"2509.08731","title":"Generating solution paths of Markovian stochastic differential equations using diffusion models","created":"2025-09-10","cited_by_count":2,"area":"diffusion"},{"id":"2604.00481","title":"Tucker Diffusion Model for High-dimensional Tensor Generation","created":"2026-04-01","cited_by_count":2,"area":"diffusion"},{"id":"2410.08435","title":"Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation","created":"2024-10-11","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":"2601.01475","title":"Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of Experts","created":"2026-01-04","cited_by_count":1,"area":"diffusion"},{"id":"2602.22610","title":"DP-aware AdaLN-Zero: Taming Conditioning-Induced Heavy-Tailed Gradients in Differentially Private Diffusion","created":"2026-02-26","cited_by_count":1,"area":"diffusion"},{"id":"2606.06007","title":"Diffusion Models for Adaptive Sequential Data Generation","created":"2026-06-04","cited_by_count":1,"area":"diffusion"},{"id":"2408.02710","title":"RCDM: Enabling Robustness for Conditional Diffusion Model","created":"2024-08-05","cited_by_count":0,"area":"diffusion"},{"id":"2509.20928","title":"Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting","created":"2025-09-25","cited_by_count":0,"area":"diffusion"},{"id":"2509.22088","title":"Factor-Based Conditional Diffusion Model for Contextual Portfolio Optimization","created":"2025-09-26","cited_by_count":0,"area":"diffusion"},{"id":"2510.02216","title":"Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification","created":"2025-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2510.04325","title":"FoilDiff: A Hybrid Transformer Backbone for Diffusion-based Modelling of 2D Airfoil Flow Fields","created":"2025-10-05","cited_by_count":0,"area":"diffusion"},{"id":"2512.00357","title":"Learning Causal States Under Partial Observability and Perturbation","created":"2025-11-29","cited_by_count":0,"area":"diffusion"},{"id":"2604.13470","title":"Universality of Gaussian-Mixture Reverse Kernels in Conditional Diffusion","created":"2026-04-15","cited_by_count":0,"area":"diffusion"},{"id":"2604.21843","title":"Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference","created":"2026-04-23","cited_by_count":0,"area":"diffusion"},{"id":"2605.18040","title":"Connections between the F\\\"ollmer process and the denoising diffusion probabilistic model","created":"2026-05-18","cited_by_count":0,"area":"diffusion"},{"id":"2605.25210","title":"Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning","created":"2026-05-24","cited_by_count":0,"area":"diffusion"},{"id":"2607.16685","title":"Semi-Supervised Conditional Diffusion via Label Augmentation","created":"2026-07-18","cited_by_count":0,"area":"diffusion"},{"id":"2608.08204","title":"Conditional Diffusion for Nonparametric Instrumental Variable Quantile Regression","created":"2026-08-08","cited_by_count":0,"area":"diffusion"},{"id":"2609.06947","title":"Particle Dynamics of Flow Matching and Classifier-Free Guidance from a Stagewise Geometry Perspective","created":"2026-09-07","cited_by_count":0,"area":"diffusion"},{"id":"2609.27546","title":"Robustness of Diffusion Models under Distribution Shift","created":"2026-09-23","cited_by_count":0,"area":"diffusion"},{"id":"2610.05333","title":"Diffusion Transformers are Provably Optimal In-context Generators","created":"2026-10-04","cited_by_count":0,"area":"diffusion"},{"id":"2610.11288","title":"Memorization and Malign Generalization in Conditional Diffusion Models with Random Features","created":"2026-10-08","cited_by_count":0,"area":"diffusion"},{"id":"2610.13851","title":"Finite-Sample Guarantees for Fully Discrete Conditional Diffusion Models","created":"2026-10-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}