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Structured Approximations of Measures
探索测度近似的新结构化方法,为机器学习和概率论提供理论工具
arXiv:2310.09149v3 Announce Type: replace-cross Abstract: We study the approximation of probability measures in the Wasserstein-$p$ distance by struct…
探索测度近似的新结构化方法,为机器学习和概率论提供理论工具
arXiv:2310.09149v3 Announce Type: replace-cross Abstract: We study the approximation of probability measures in the Wasserstein-$p$ distance by struct…
从数学底层揭示多种相位恢复算法在特定条件下等价,突破传统认知。
arXiv:2606.07257v1 Announce Type: cross Abstract: Phase retrieval - recovering a complex-valued field from intensity measurements - is typically solve…
从变分角度揭示Föllmer过程在生成扩散中的最优性,理论数学与AI生成的深度交叉
arXiv:2602.10989v2 Announce Type: replace-cross Abstract: We construct and analyze generative diffusions that transport a point mass to a prescribed t…