arXivAI Research
First-Order Stationarity of Reverse Diffusions: Bridging Optimization and Sampling
逆向擴散的一階駐點性:連結優化與生成採樣的數學機制
This research establishes a first-order optimization theory for diffusion models, proving that SDE-based reverse Langevin diffusions contract Fisher divergences exponentially under strongly convex noising.
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