tim@timwei.land:~/tags$
Tim Weiland

Physics-Informed ML

Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields
Fast probabilistic counterparts to numerical PDE solvers, powered by SPDEs & sparse linear algebra.
Tim Weiland, Marvin Pförtner, Philipp Hennig
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Scaling up Probabilistic PDE Simulators with Structured Volumetric Information
Introduces GP-FVM, a probabilistic counterpart to the finite volume method, enabling large-scale probabilistic PDE simulations.
Tim Weiland, Marvin Pförtner, Philipp Hennig
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