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Data-driven methods for partial differential equations

Mar 2 – 4, 2026
Karlsruhe Institute of Technology
Europe/Berlin timezone

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Session

Invited talks 1

Mar 2, 2026, 1:15 PM
Karlsruhe Institute of Technology

Karlsruhe Institute of Technology

Conveners

Invited talks 1: AI for simulation (Speaker: Mishra, Dietrich)

  • Martin Frank

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  1. 17. AI for Efficient Simulations of PDEs
    Siddhartha Mishra (ETH Zurich)
    3/2/26, 1:15 PM
    Invited talk

    tba

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  2. 16. Solving time-dependent PDEs with random feature models
    Felix Dietrich
    3/2/26, 2:00 PM
    Invited talk

    We discuss a sampling scheme for a data-dependent probability distribution of the parameters of neural networks. Such sampled networks are provably dense in the continuous functions, and have a convergence rate in the number of neurons that is independent of the input dimension. Using sampled neurons as basis functions in an ansatz allow us to use separation of variable schemes and effectively...

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