Physics-regularized learning (MATH+ EF3-4)

Funding:

Deutsche Forschungsgemeinschaft (DFG)

Term:
Jan 01, 2019 — Dec 31, 2021
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This methodologically oriented project is devoted to the development and numerical analysis of learning algorithms for (typically large) data sets exploiting a priori knowledge in terms of an auxiliary physical model formulated as partial differential equation.