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Number of items: 6. Schillings, Claudia and Guth, Philipp A. and Weissmann, Simon (2021) A General Framework for Machine Learning based Optimization Under Uncertainty. . . (Submitted) John, David N. and Stohrer, Livia and Schillings, Claudia and Schick, Michael and Heuveline, Vincent (2021) Hierarchical surrogate-based Approximate Bayesian Computation for an electric motor test bench. . . (Submitted) Boyko, V. and Krumscheid, S. and Vercauteren, N. (2021) Statistical learning of non-linear stochastic differential equations from non-stationary time-series using variational clustering. . . (Submitted) Guth, Philipp A. and Schillings, Claudia and Weissmann, Simon (2020) Ensemble Kalman filter for neural network based one-shot inversion. . . (Submitted) Bellingeri, C. and Djurdjevac, A. and Friz, P.K. and Tapia, N. (2020) Transport and continuity equations with (very) rough noise. . . (Submitted) Hittmeir, S. and Klein, R. and Li, J. and Titi, E. (2019) Global well-posedness for the primitive equations coupled to nonlinear moisture dynamics with phase changes. . . (Submitted) |
