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English(EN) Approximating Measures on Function Spaces: Transport and Truncation

新论文详述了用于生成模型函数空间的测度逼近

arXiv上的一篇新论文介绍了一类测度 $\mathcal{P}_\psi(\mu)$,该类测度通过有限维映射 $\psi$ 来逼近参考测度 $\mu$。这种方法对于贝叶斯逆问题和生成模型特别有用,可以实现高效的采样和表示。研究展示了其在非线性观测映射、具有跳跃过程先验的去卷积以及Navier-Stokes流状态估计等领域的应用。 AI

排序理由 该聚类包含一篇发表在arXiv上的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv stat.ML 阅读 →

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新论文详述了用于生成模型函数空间的测度逼近

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该聚类包含一篇发表在arXiv上的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Ricardo Baptista, Bamdad Hosseini, Alexander W. Hsu ·

    函数空间上的近似测度:输运与截断

    arXiv:2609.17802v1 Announce Type: cross Abstract: Measures on function spaces arise throughout Bayesian inverse problems and generative modeling, often with low-dimensional structure relative to a tractable reference measure. We introduce the class $\mathcal{P}_\psi(\mu)$ of meas…