{"total":15,"rows":[{"id":"2302.00482","title":"Improving and generalizing flow-based generative models with minibatch optimal transport","created":"2023-02-01","cited_by_count":879,"area":"diffusion"},{"id":"2106.01357","title":"Diffusion Schr\\\"odinger Bridge with Applications to Score-Based Generative Modeling","created":"2021-06-01","cited_by_count":602,"area":"diffusion"},{"id":"2304.14772","title":"Multisample Flow Matching: Straightening Flows with Minibatch Couplings","created":"2023-04-28","cited_by_count":278,"area":"diffusion"},{"id":"2310.02391","title":"SE(3)-Stochastic Flow Matching for Protein Backbone Generation","created":"2023-10-03","cited_by_count":150,"area":"diffusion"},{"id":"2307.03672","title":"Simulation-free Schr\\\"odinger bridges via score and flow matching","created":"2023-07-07","cited_by_count":83,"area":"diffusion"},{"id":"2405.14664","title":"Fisher Flow Matching for Generative Modeling over Discrete Data","created":"2024-05-23","cited_by_count":72,"area":"diffusion"},{"id":"2403.18705","title":"Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching","created":"2024-03-27","cited_by_count":36,"area":"diffusion"},{"id":"2605.11755","title":"One-Step Generative Modeling via Wasserstein Gradient Flows","created":"2026-05-12","cited_by_count":24,"area":"diffusion"},{"id":"2507.22270","title":"Weighted Conditional Flow Matching","created":"2025-07-29","cited_by_count":4,"area":"diffusion"},{"id":"2408.02866","title":"Back-Projection Diffusion: Solving the Wideband Inverse Scattering Problem with Diffusion Models","created":"2024-08-05","cited_by_count":3,"area":"diffusion"},{"id":"2504.17872","title":"Flow Matching Ergodic Coverage","created":"2025-04-24","cited_by_count":3,"area":"diffusion"},{"id":"2409.14599","title":"Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling","created":"2024-09-22","cited_by_count":0,"area":"diffusion"},{"id":"2605.09439","title":"Inverse Design for Conditional Distribution Matching","created":"2026-05-10","cited_by_count":0,"area":"diffusion"},{"id":"2608.08770","title":"A Mean-Field Framework for Inference-Time Distributional Control of Diffusion Models","created":"2026-08-09","cited_by_count":0,"area":"diffusion"},{"id":"2610.16988","title":"Self-Supervised Learning of Semantically Consistent Visual Features via a Simple 3D Prior","created":"2026-10-12","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}