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20152026
most citedA Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions

34 citations · 212 across the 40 of their papers we have counts for

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Showing 2016 · math.PRShow all

2 papers · 2 filters

math.PR2016★ 4 cited

Gaussian Approximations for Probability Measures on

Yulong Lu, Andrew M. Stuart, Hendrik Weber

This paper concerns the approximation of probability measures on with respect to the Kullback-Leibler divergence. Given an admissible target measure, we show the exi…

math.PR2016★ 1 cited

Gaussian approximations for transition paths in Brownian dynamics

Yulong Lu, Andrew M. Stuart, Hendrik Weber

This paper is concerned with transition paths within the framework of the overdamped Langevin dynamics model of chemical reactions. We aim to give an efficient description of typic…