Data-driven methods for partial differential equations

Session

Invited talks 5

Mar 3, 2026, 2:00 PM

Room 1.067 (Math Building (20.30), Karlsruhe Institute of Technology)

Conveners

Invited talks 5

• Martin Frank

22. Ensemble Kalman Methods for Optimization: Subspace Control, Subsampling, and Applications in Machine Learning and Optimal Control

Claudia Schillings (FU Berlin)

3/3/26, 2:00 PM

Invited talk

tba

14. Data assimilation with dissipative nonlinear dynamical systems: Optimal Gaussian asymptotics for the posterior measure

Dimitri Konen (University of Cambridge)

3/3/26, 2:45 PM

Invited talk

We consider a Bayesian update procedure to predict future states of infinite-dimensional non-linear dynamical systems. We focus on dissipative systems, in which information is lost exponentially fast over time. While, from an inverse problem perspective, this is expected to make inference difficult, it turns out to be extremely useful from a statistical perspective. When a Gaussian process...