{"total":31,"rows":[{"id":"2407.01392","title":"Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion","created":"2024-07-01","cited_by_count":681,"area":"diffusion"},{"id":"2409.00588","title":"Diffusion Policy Policy Optimization","created":"2024-09-01","cited_by_count":280,"area":"diffusion"},{"id":"2502.06764","title":"History-Guided Video Diffusion","created":"2025-02-10","cited_by_count":171,"area":"diffusion"},{"id":"2410.03601","title":"How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework","created":"2024-10-04","cited_by_count":48,"area":"diffusion"},{"id":"2405.15986","title":"Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity","created":"2024-05-24","cited_by_count":42,"area":"diffusion"},{"id":"2506.03979","title":"Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach","created":"2025-06-04","cited_by_count":18,"area":"diffusion"},{"id":"2406.15656","title":"Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction","created":"2024-06-21","cited_by_count":9,"area":"diffusion"},{"id":"2410.05255","title":"Bridging SFT and DPO for Diffusion Model Alignment with Self-Sampling Preference Optimization","created":"2024-10-07","cited_by_count":9,"area":"diffusion"},{"id":"2409.17565","title":"Pixel-Space Post-Training of Latent Diffusion Models","created":"2024-09-26","cited_by_count":6,"area":"diffusion"},{"id":"2411.18702","title":"Random Walks with Tweedie: A Unified View of Score-Based Diffusion Models","created":"2024-11-27","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":"2507.04283","title":"Clustering via Self-Supervised Diffusion","created":"2025-07-06","cited_by_count":3,"area":"diffusion"},{"id":"2507.12201","title":"RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models","created":"2025-07-16","cited_by_count":3,"area":"diffusion"},{"id":"2503.03007","title":"Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers","created":"2025-03-04","cited_by_count":2,"area":"diffusion"},{"id":"2505.13501","title":"SPIEDiff: robust learning of long-time macroscopic dynamics from short-time particle simulations with quantified epistemic uncertainty","created":"2025-05-16","cited_by_count":2,"area":"diffusion"},{"id":"2507.15716","title":"DiffPF: Differentiable Particle Filtering with Generative Sampling via Conditional Diffusion Models","created":"2025-07-21","cited_by_count":2,"area":"diffusion"},{"id":"2503.01274","title":"DnD Filter: Differentiable State Estimation for Dynamic Systems using Diffusion Models","created":"2025-03-03","cited_by_count":1,"area":"diffusion"},{"id":"2505.19519","title":"Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift","created":"2025-05-26","cited_by_count":1,"area":"diffusion"},{"id":"2508.08698","title":"DiffVolume: Diffusion Models for Volume Generation in Limit Order Books","created":"2025-08-12","cited_by_count":1,"area":"diffusion"},{"id":"2510.18777","title":"A Frequentist Statistical Introduction to Variational Inference, Autoencoders, and Diffusion Models","created":"2025-10-21","cited_by_count":1,"area":"diffusion"},{"id":"2512.18736","title":"Is Your Conditional Diffusion Model Actually Denoising?","created":"2025-12-21","cited_by_count":1,"area":"diffusion"},{"id":"2602.11059","title":"A Gibbs posterior sampler for inverse problem based on prior diffusion model","created":"2026-02-11","cited_by_count":1,"area":"diffusion"},{"id":"2405.00239","title":"IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study","created":"2024-04-30","cited_by_count":0,"area":"diffusion"},{"id":"2412.10824","title":"Diffusion Model from Scratch","created":"2024-12-14","cited_by_count":0,"area":"diffusion"},{"id":"2502.20904","title":"DiffBrush:Just Painting the Art by Your Hands","created":"2025-02-28","cited_by_count":0,"area":"diffusion"},{"id":"2505.12382","title":"Generative Diffusion Model Driven Massive Random Access in Massive MIMO Systems","created":"2025-05-18","cited_by_count":0,"area":"diffusion"},{"id":"2505.23652","title":"Optimization-Free Diffusion Model -- A Perturbation Theory Approach","created":"2025-05-29","cited_by_count":0,"area":"diffusion"},{"id":"2507.04920","title":"Object-centric Denoising Diffusion Models for Physical Reasoning","created":"2025-07-07","cited_by_count":0,"area":"diffusion"},{"id":"2508.19752","title":"Fast 3D Diffusion for Scalable Granular Media Synthesis","created":"2025-08-27","cited_by_count":0,"area":"diffusion"},{"id":"2602.11711","title":"Estimation of instrument and noise parameters for inverse problem based on prior diffusion model","created":"2026-02-12","cited_by_count":0,"area":"diffusion"},{"id":"2605.31596","title":"KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems","created":"2026-05-29","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}