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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Ding-Tao Peng

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Open access Aug 2026

Adaptive Momentum Langevin Dynamics for Efficient Posterior Sampling

Adaptive Momentum Langevin Dynamics (AMLD), a practical stochastic correction kernel that introduces a momentum variable into the annealed posterior sampling framework and equips it with an annealing-aware momentum retention schedule, is proposed.

Zhengbo Li, Jian Xu, Ding-Tao Peng et al. · 0 citations

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