{"total":36,"rows":[{"id":"2211.15089","title":"Continuous diffusion for categorical data","created":"2022-11-28","cited_by_count":214,"area":"diffusion"},{"id":"2305.17161","title":"Flow Matching for Scalable Simulation-Based Inference","created":"2023-05-26","cited_by_count":101,"area":"diffusion"},{"id":"2210.06201","title":"Diffusion Models for Causal Discovery via Topological Ordering","created":"2022-10-12","cited_by_count":66,"area":"diffusion"},{"id":"2211.03595","title":"From Denoising Diffusions to Denoising Markov Models","created":"2022-11-07","cited_by_count":58,"area":"diffusion"},{"id":"2210.04872","title":"Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models","created":"2022-10-10","cited_by_count":50,"area":"diffusion"},{"id":"2406.03537","title":"A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models","created":"2024-06-05","cited_by_count":42,"area":"diffusion"},{"id":"2203.11167","title":"Flow-matching -- efficient coarse-graining of molecular dynamics without forces","created":"2022-03-21","cited_by_count":36,"area":"diffusion"},{"id":"2408.09702","title":"Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering","created":"2024-08-19","cited_by_count":27,"area":"diffusion"},{"id":"2302.00860","title":"Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries","created":"2023-02-02","cited_by_count":24,"area":"diffusion"},{"id":"2312.05440","title":"Consistency Models for Scalable and Fast Simulation-Based Inference","created":"2023-12-09","cited_by_count":22,"area":"diffusion"},{"id":"2502.17436","title":"Towards Hierarchical Rectified Flow","created":"2025-02-24","cited_by_count":20,"area":"diffusion"},{"id":"2310.00049","title":"EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion","created":"2023-09-29","cited_by_count":17,"area":"diffusion"},{"id":"2409.08311","title":"Theoretical guarantees in KL for Diffusion Flow Matching","created":"2024-09-12","cited_by_count":14,"area":"diffusion"},{"id":"2605.07933","title":"How to Train Your Latent Diffusion Language Model Jointly With the Latent Space","created":"2026-05-08","cited_by_count":11,"area":"diffusion"},{"id":"2405.14392","title":"Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows","created":"2024-05-23","cited_by_count":9,"area":"diffusion"},{"id":"2307.06836","title":"PC-Droid: Faster diffusion and improved quality for particle cloud generation","created":"2023-07-13","cited_by_count":8,"area":"diffusion"},{"id":"2506.01158","title":"Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators","created":"2025-06-01","cited_by_count":8,"area":"diffusion"},{"id":"2506.20705","title":"On Convolutions, Intrinsic Dimension, and Diffusion Models","created":"2025-06-25","cited_by_count":3,"area":"diffusion"},{"id":"2410.22573","title":"Flow Matching for Posterior Inference with Simulator Feedback","created":"2024-10-29","cited_by_count":2,"area":"diffusion"},{"id":"2509.23126","title":"Impute-MACFM: Imputation based on Mask-Aware Flow Matching","created":"2025-09-27","cited_by_count":2,"area":"diffusion"},{"id":"2509.23385","title":"Flow Matching Calibration for Simulation-Based Inference under Model Misspecification","created":"2025-09-27","cited_by_count":2,"area":"diffusion"},{"id":"2307.15988","title":"RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects","created":"2023-07-29","cited_by_count":1,"area":"diffusion"},{"id":"2410.22074","title":"Variational inference for pile-up removal at hadron colliders with diffusion models","created":"2024-10-29","cited_by_count":1,"area":"diffusion"},{"id":"2508.05461","title":"Time-reversed Flow Matching with Worst Transport in High-dimensional Latent Space for Image Anomaly Detection","created":"2025-08-07","cited_by_count":1,"area":"diffusion"},{"id":"2508.20646","title":"VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation","created":"2025-08-28","cited_by_count":1,"area":"diffusion"},{"id":"2604.20723","title":"Tokenised Flow Matching for Hierarchical Simulation Based Inference","created":"2026-04-22","cited_by_count":1,"area":"diffusion"},{"id":"2605.10315","title":"Active Tabular Augmentation via Policy-Guided Diffusion Inpainting","created":"2026-05-11","cited_by_count":1,"area":"diffusion"},{"id":"2604.00283","title":"Data-Driven Reachability Analysis via Diffusion Models with PAC Guarantees","created":"2026-03-31","cited_by_count":0,"area":"diffusion"},{"id":"2604.02787","title":"LumaFlux: Lifting 8-Bit Worlds to HDR Reality with Physically-Guided Diffusion Transformers","created":"2026-04-03","cited_by_count":0,"area":"diffusion"},{"id":"2605.17605","title":"Venom: A PyTorch Generative Modeling Toolkit","created":"2026-05-17","cited_by_count":0,"area":"diffusion"},{"id":"2605.18267","title":"SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation","created":"2026-05-18","cited_by_count":0,"area":"diffusion"},{"id":"2605.27499","title":"GenSBI: Generative Methods for Simulation-Based Inference in JAX","created":"2026-05-26","cited_by_count":0,"area":"diffusion"},{"id":"2606.29724","title":"Simplifying Flow Matching Transformations with Low-Rank Mixture Models","created":"2026-06-29","cited_by_count":0,"area":"diffusion"},{"id":"2607.05252","title":"FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation","created":"2026-07-06","cited_by_count":0,"area":"diffusion"},{"id":"2608.09579","title":"You Only Flow Once: Calibrated and Real-Time Radar Pose Estimation with Multi-Hypothesis Normalizing Flows","created":"2026-08-10","cited_by_count":0,"area":"diffusion"},{"id":"2610.17667","title":"PrT-Flow: Probability-Tractable Flow Matching for Reinforcement Learning","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}