| Date | Speaker | Institution | Title |
|---|
| 09.04.2025 | Ivan Prusak | University of Bochum | Optimisation-Based Domain-Decomposed Reduced Order Models for Coupled Fluid Problems |
| 22.01.2025 | Lihong Feng | MPI Magdeburg | Non-intrusive surrogate modelling via neural networks |
| 15.01.2025 | Lukas Renelt | Uni Münster | Nonlinear discretization of instationary PDEs with EDNNs: An introduction to Neural Galerkin and JAX |
| 08.01.2025 | Wasilij Barsukow | Université de Bordeaux | Structure preserving numerical methods for multi-dimensional conservation laws |
| 11.12.2024 | Patrick Henning | University of Bochum | Computing ground states of rotating Bose-Einstein condensates |
| 04.12.2024 | Jeremy Sefo | Münster | Phase Retrieval Algorithms for Coherent X-Ray Diffractive Imaging |
| 20.11.2024 | Lena Schmedt | Uni Münster | Total variation regularized optimization solved by the Frank Wolfe algorithm |
| 13.11.2024 | Andy Wert | Uni Münster | Machine learning based surrogate modeling to accelerate parabolic PDE constrained optimization |
| 06.11.2024 | Michael Kartmann | Uni Konstanz | Certified Model Predictive Control of linear switched evolution equations |
| 30.10.2024 | Adrian Riekert | Uni Münster | Adaptive stochastic gradient methods and training of artificial neural networks |
| 09.10.2024 | Marco Mauritz | Uni Münster | Dynamic PET-Reconstruction with Optimal Transport Regularization: Modeling, Analysis and Numerical Solution |
| 26.06.2024 | Art Pelling | TU Berlin | Data-driven reduced order modelling for acoustics (NEW TIME AND ROOM) |
| 19.06.2024 | Tizian Wenzel | Uni Hamburg | Deep and greedy kernel methods: Algorithms, Analysis and Applications |
| 12.06.2024 | Tabea Naeven | Uni Münster | Dimension-reduction for reconstruction of dynamic particle configurations and application to MRI |
| 05.06.2024 | Dominik Skreczek | Uni Münster | Adaptive reduced basis trust region methods for parameter optimization with non-linear elliptic PDE constraints |
| 15.05.2024 | Julia Schleuß | Uni Münster | Localized model order reduction via local training and enrichment based on a residual localization strategy |
| 08.05.2024 | Jorunn Mense | Uni Münster | talk canceled - will be newly scheduled!
|
| 17.04.2024 | Björn Luig | Uni Münster | Improving the Energy Efficiency of Transport Units in a Linear Transport System through Setpoint Generation with Optimal Control |
| 10.04.2024 | Christian Engwer | Uni Münster | Hardware-aware numerics and parallel in time concepts |
| 24.01.2024 | Sascha Beutler | Uni Münster | Motion compensation in microscopy using algebraic surface fitting |
| 17.01.2024 | Niklas Reich | Hochschule Ruhr West | A parallel batch greedy algorithm in reduced basis methods |
| 10.01.2024 | Benedikt Klein | Uni Münster | A trust region-reduced basis-machine learning approach for parameter optimization with parabolic PDE constraints |
| 20.12.2023 | Mario Ohlberger | Uni Münster | Model Order Reduction and learning for PDE Constrained Optimization and Inverse Problems |
| 13.12.2023 | Fabian Bremer | Uni Münster | Explicit Construction of Deep Neural Networks |
| 06.12.2023 | Martin Gander | University of Geneva | Schwarz in Time and ParaOpt: two time parallel methods for optimal control and PDE constraint optimization |
| 29.11.2023 | Frederik Altrock | Uni Münster | Neural Tangent Kernel |
| 22.11.2023 | Stephan Rave | Uni Münster | Hierarchical Approximate SVD |
| 15.11.2023 | Lukas Renelt | Uni Münster | Friedrichs systems and their use in model order reduction |
| 08.11.2023 | Gunnar Birke | Uni Münster | Stabilization of linear hyperbolic conservation laws on cut-cell meshes |
| 25.10.2023 | Juliane Braunsmann | Uni Münster | Learning Low Bending and Low Distortion Manifold Embeddings |
| 18.10.2023 | Hendrik Kleikamp | Uni Münster | Be greedy and learn - efficient and certified algorithms for parametrized optimal control problems |
| 11.10.2023 | Martin Gander | Université de Genève | Introduction to Time Parallel Time Integration |
