most citedDistribution learning via neural differential equations: a nonparametric statistical perspective

3 citations · 5 across the 3 of their papers we have counts for

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math.ST2024

Statistical Learning Theory for Neural Operators

Niklas Reinhardt, Sven Wang, Jakob Zech

We present statistical convergence results for the learning of (possibly) non-linear mappings in infinite-dimensional spaces. Specifically, given a map $G_0:\mathcal X\to\mathcal Y…

math.ST2023★ 3 cited

Distribution learning via neural differential equations: a nonparametric statistical perspective

Youssef Marzouk, Zhi Ren, Sven Wang +1

Ordinary differential equations (ODEs), via their induced flow maps, provide a powerful framework to parameterize invertible transformations for the purpose of representing complex…