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#flow-maps News & Analysis

2 articles tagged with #flow-maps. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · May 17/10
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How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance

Researchers introduce Flow Map Reward Guidance (FMRG), a novel training-free method for guiding generative models toward user-specified objectives using optimal control theory. The approach achieves comparable or superior results to existing baselines while requiring only 3 neural function evaluations, representing a 10x+ speedup over prior methods.

AIBullisharXiv – CS AI · Jun 26/10
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Strong Stochastic Flow Maps

Researchers introduce Strong Stochastic Flow Maps (SSFMs), a novel framework that extends deterministic flow maps to stochastic differential equations, enabling few-step sampling for diffusion models with pathwise convergence guarantees. The method uses polynomial approximations to Brownian motion and demonstrates improvements over previous approaches in image generation and molecular simulations.