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Paolo Giaretta

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#artificial intelligence Preprint Sep 2026

Newton Matching for Generative Modeling: A Unified Framework for Fine-Tuning and Sampling

The paradigm from isolated losses to iterative optimization over canonical models: population minimizers of standard conditional matching for terminal densities and approximate updates and define critical-point consistency as vanishing tangential displacement if and only if $\rho=\pi$.

Ze-Yang Li, Yunan Wang, Paolo Giaretta et al. · 0 citations

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