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20162024
most citedVariational Monte Carlo - Bridging Concepts of Machine Learning and High Dimensional Partial Differential Equations

17 citations · 33 across the 17 of their papers we have counts for

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stat.ML2024

Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations

David Sommer, Robert Gruhlke, Max Kirstein +2

Sampling from probability densities is a common challenge in fields such as Uncertainty Quantification (UQ) and Generative Modelling (GM). In GM in particular, the use of reverse-t…