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Group by: Date | Item Type Jump to: Article Number of items: 2. ArticleKaarnioja, V. and Schillings, C. (2024) Quasi-Monte Carlo for Bayesian design of experiment problems governed by parametric PDEs. Preprint ArXiv . (Submitted) Sommer, D. and Gruhlke, R. and Kirstein, M. and Eigel, M. and Schillings, C. Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations. Preprint (WIAS) . (Submitted) |
