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Sommersemester 2023

  • Fri 21.4. Robert Gruhlke (FU Berlin), Langevin Dynamics: Bayesian inference, homotopy and generative modeling, room A6/108/109, 10:15 am
  • Wed 26.4. Monika Eisenmann (Lund University), A randomized operator splitting scheme inspired by stochastic optimization methods, room A6/108/109, 2:15 pm
  • Fri 5.5. Matei Hanu (FU Berlin), room A6/210, 10:15 am
  • Thu 11.5. and Fri 12.5., International Day of Women in Mathematics
  • Mon 5.6. Oleg Butkovsky (Weierstrass Institute), Approximation of SDEs with irregular drift: stochastic sewing approach, room A6/108/109, 12:15 pm
    Mon 5.6. Mattes Mollenhauer (FU Berlin), Subgaussian concentration in Hilbert spaces and inference in inverse problems, room A6/210, 1:00 pm
  • Fri 16.6. Ryan Matzke (Vanderbilt University), Energy, Discrepancy, and Polarization of Greedy Sequences on the Sphere, room A6/108/109, 9:30 am
    Fri 16.6. Laurence Wilkes (KU Leuven), A randomised lattice algorithm for integration using a fixed generating vector, room A6/108/109, 10:15 am
    Fri 16.6. Weiwen Mo (KU Leuven), Approximating Multivariate Functions with Embedded Lattice-based Algorithms, room A6/108/109, 11:00 am
  • Thu 22.6. Philipp Guth (RICAM), Optimal Control and Feedback Stabilization Under Uncertainty, room A6/126, 2:15 pm
  • Fri 30.6. Ruben Harris (FU Berlin), Improving Ensemble Kalman Filter performance by adaptively controlling the ensemble, room A6/108/109, 10:15 am
  • Fri 7.7. Student talks, room A6/108/109, 10:15 am
    Fri 7.7. Ilja Klebanov (FU Berlin), On definitions of modes and MAP estimators, room A6/108/109, 11:00 am
  • Fri 14.7. Student talks, room A6/108/109, 10:15 am
  • Wed 19.7. Iris Rammelmüller (Universität Klagenfurt), Ensemble-based Data Assimilation for high-dimensional nonlinear dynamical systems, room A6/108/109, 2:15 pm
    Wed 19.7. Lassi Roininen (LUT University), Bayesian inversion with alpha-stable priors, room A6/108/109, 3:00 pm
    Wed 19.7. Guillermo Olicón Méndez (FU Berlin), A random dynamical system perspective on chemical reaction networks, room A6/108/109, 3:30 pm
  • Wed 30.8. Nicholas Nelsen (Caltech), Analysis of vector-valued random features, room A6/108/109, 10:15 am

Wintersemester 2022/23

  • 17.10. Ilja Klebanov (FU Berlin), QMC and sparse grids beyond uniform distributions on cubes: transport maps to mixture distributions, room A6/009, 10:15 am
    17.10. Mattes Mollenhauer (FU Berlin), Nonparametric approximation of conditional expectation operators, room A6/009, 11:00 am
  • 21.10. Harri Hakula (Aalto University), Eigenlocking – Parameter-dependent loss of convergence rate, room A6/126, 10:15 am
  • 31.10. Nils Hinrichs (Charité – Universitätsmedizin Berlin), Short-term vital parameter forecasting in the intensive care unit, room A6/009, 10:15 am
    31.10. Lassi Roininen (LUT University), Cauchy Markov random field priors for Bayesian inversion, room A6/009, 11:00 am
  • 7.11. Abi Srikumar (UNSW Sydney), Approximating distribution functions in uncertainty quantification using quasi-Monte Carlo methods, Webex, 10:15 am
  • 14.11. Han Lie (University of Potsdam), Frechet derivatives of path functionals of stochastic differential equations, room A6/009, 10:15 am
  • 23.11. Aswin Kannan (HU Berlin), Multiobjective Learning in Solar Energy Prediction: Benefits and Algorithms, room A6/108/109, 2:15 pm
  • 28.11. Remo Kretschmann (University of Würzburg), Optimal and Bayesian hypothesis testing in statistical inverse problems, room A6/009, 10:15 am
  • 5.12. Peter Friz (Weierstrass Institute/TU Berlin), Why rough stuff matters for UQ, room A6/009, 10:15 am
  • 11.1. Helmut Harbrecht (University of Basel), Shape optimization for time-dependent domains, room A6/108/109, 10:15 am
    11.1. Stephan Schmidt (HU Berlin), Higher order methods for geometric inverse problems, room A6/108/109, 11:00 am
  • 23.1. Andreas Neuenkirch (University of Mannheim), Strong approximation of the CIR process: A never ending story?, room A6/009, 10:15 am
  • 6.2. Student talks, room A6/009, 10:15 am

Sommersemester 2022

  • 29.4. Eneas Hensel (University of Mannheim), Variational inference for Bayesian neural networks, room A6/108/109, 10:15 am
  • 6.5. Philipp Wacker (FU Berlin), MAP estimators in l^p, room A6/108/109, 10:15 am
  • 13.5. Toni Karvonen (University of Helsinki), Gaussian processes for uncertainty quantification and error estimation, room A6/108/109, 10:15 am
  • 20.5. Claudia Totzeck (University of Wuppertal), Webex, 10:15 am
  • 27.5. Doris Schneider (FAU), Data-based modeling of the cellular response to oxidative stress -- A Bayesian approach for model selection and parameter identification in (bio)chemical networks, Webex, 10:15 am
  • 3.6. Vesa Kaarnioja (FU Berlin), QMC and kernel interpolation, room A6/108/109, 10:15 am
  • 10.6. Vicky Holfeld (ITWM), Webex, 10:15 am
  • 1.7. Simon Weissmann (University of Heidelberg), Webex, 10:15 am
  • 8.7. Aizhan Issagali (FU Berlin), On tensor-based training of neural networks, room A6/108/109, 10:15 am
    8.7. Upanshu Sharma (FU Berlin), room A6/108/109, 11:00 am
  • 15.7. Andreas Rupp (LUT University), Introduction to DG methods, room A6/108/109, 10:15 am