RTG Seminar
The biweekly RTG research seminar is the platform for the PhD students to present and discuss their latest work. The presentation of the progress is the basis for a subsequent discussion with the PhD advisory committee.
Organization
Center for Industrial Mathematics
Room: MZH 2290
+49 421 218 63814
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Winter semester 2024/2025
27.11.2024, 12:15, MZH 2340
Meira Iske: TBA
23.10.2024, 13:00, MZH 2340
Lasse Fischer: Online closed testing with e-values
Summer Semester 2024
19.06.2024, 13:00, MZH 2340 (hybrid mode)
Annika Osmers: Goal-oriented adaptive finite cell methods for parabolic problems
19.06.2024, 12:15, MZH 2340 (hybrid mode)
Magdalena Thode: Friction parameter identification for contact problems
22.05.2024, 12:15, MZH 2340
Lasse Fischer: Sequential Monte-Carlo testing by betting
03.04.2024, 12:15, MZH 2340 (hybrid mode)
Friederike Preuße: Nonstationarity of the hemodynamic response function in event-related functional magnetic resonance imaging
Winter semester 2023/2024
24.01.2024, 13:00, MZH 1100
Torben Schürenberg: Being selfish in routing and colouring. Is it bad?
24.01.2024, 12:15, MZH 1100
Tom Freudenberg: Homogenization of rough and porous interfaces
10.01.2024, 12:15, MZH 1100
Christine Winther Bang: Causal equivalence with tiered background knowledge
25.10.2023, 12:15, MZH 1100
Daniel Ochieng Odipo: Randomized p-value statistics for multiple testing in discrete models
Summer semester 2023
12.07.2023, 13:00, Online Event
Alexander Denker: New developments of generative models for inverse problems
12.07.2023, 12:15, Online Event
Lena Ranke: (Optimal) Choices of Landmarks regarding different Witness Complex constructions
28.06.2023, 12:15, Online Event
Gideon Klaila: Persistence Transformation and Application
Winter semester 2022/2023
07.12.2022, 11:00, MZH 2340
Johannes Leuschner: DIP-based CT reconstruction, uncertainty quantification and experimental design
07.12.2022, 10:15, MZH 2340
Ivan Mykhailiuk: Evaluation of Quality of Local Solutions to Nonlinear Programs based on Parametric Sensitivities
23.11.2022, 10:15, Online Event
Eva Dierkes: Learned Hamiltonian Systems and their Symmetries
Summer semester 2022
29.06.2022, 12:15, video conference
Lennart Evers: Single shot uncertainty estimation and soft label reinforcement using multi task neural networks
15.06.2022, 13:00, video conference
Christine Winther Bang: Efficient use of temporal background knowledge for causal discovery with cohort data
15.06.2022, 12:15, video conference
Helge Mohn: SWIFT-AI: Implicit Neural Representations for Stratospheric Ozone Chemistry
18.05.2022, 12:15, video conference
Maximilian Schmidt: Benchmarking CT Reconstruction Methods & The Helsinki Deblur Challenge
04.05.2022, 13:00, video conference
Vladimir Vutov: Multiple multi-sample testing under arbitrary covariance dependency
Winter semester 2021/2022
12.01.2022, 12:15, video conference
Lena Ranke, Witness Complexes in Topological Data Analysis
24.11.2021, 10:00, video conference
Anh-Tuan Hoang, Statistical Methods for replicability analyses
Summer semester 2021
30.06.2021, 13:00
Eva Dierkes: Learning Hamiltonian Systems considering System Symmetries
16.06.2021, 12:15
Vladimir Vutov: A two-sample comparison of MALDI-Imaging data
02.06.2021, 13:00, video conference
Ivan Mykhailiuk: Convergence to Preferable Minima in Real-Time Nonlinear Optimization Problems
02.06.2021, 12:15, video conference
Alexander Denker: Sparse view CT challenge and extensions of the learned primal-dual method
Winter semester 2020/2021
24.02.21, 12:15, video conference
José Carlos Gutiérrez Pérez: Generative Adversarial Networks for stain normalization in digital pathology
Jean Le'Clerc Arrastia: Semantic segmentation for automatic tumor detection
27.01.21, 12:15, video conference
Johannes Leuschner: Neural network based reconstruction for CT - A Benchmark Dataset and Deep Image Prior approaches
Max Schmidt: Shaping the future of CT reconstruction - How the combination of deep learning and mathematical modeling can solve inverse problems
13.01.21, 12:15, video conference
Sonal Rami: Machine Learning Approaches in Climate Modelling
02.12.20, 12:15, video conference
Gideon Klaila: Discrete Morse Theory in Topological Data Analysis
Summer semester 2020
15.07.20, 12:15, video conference
Pascal Rink: Inference on post-model-selection coefficients of determination
Margareta Runge: Model Predictive Control with Online Nonlinear Parameter Identification for a Robotic System
01.07.20, 12:15, video conference
Sonal Rami: Machine Learning Approaches in Climate Modelling
06.05.20, 12:15, video conference
Peter Maass: Structure of the RTG
22.04.20, 12:15, video conference
Peter Maass: Structure of the RTG
Winter semester 2019/2020
29.01.20, 12:15, MZH 6190
Miriam Steinherr: Analysis of some non-smooth bifurcations with applications to ship maneuvering
Ilias Bogoudis: Halogens in the Arctic: Satellite Measurements and Relation to Meteorological Drivers
15.01.20, 12:15, MZH 6190
Pascal Fernsel: Nonnegative Matrix and Tensor Factorizations - Theory and Selected Applications
Summer semester 2019
03.07.19, 12:15, MZH 6210
Wiebke Bergmann: Realtime forecast-based optimization of self-consumption in local energy systems under uncertain predictions of generation and consumption
Thies Gerken: Dynamic Inverse Problems for Wave Phenomena
19.06.19, 12:15, MZH 6210
Sören Schulze: Blind and supervised source separation on music recordings
Georgia Sfakianaki: Tikhonov regularization incorporating tolerances in the penalty term
22.05.19, 12:15, MZH 6210
Kai Schäfer: Decomposition of Iteration Schemes in Nonlinear Optimization with Applications to Dynamic Parameter Identification and Bilevel Programming
Jens Behrmann: Invertible Neural Networks
Winter semester 2018/2019
23.01.19, 12:15, MZH 2490
Jonathan von Schroeder: Application of Optimal Transport to MALDI Data
12.12.18, 12:15, MZH 2340
Sören Dittmer: ReLU Singular Values, Gaussian mean width and Regularization by Architecture
Summer semester 2018
27.06.18, 12:15, MZH 6210
Jonathan von Schroeder: Application of Optimal Transport to MALDI Data
13.06.18, 12:15, MZH 6210
Max Westphal: Efficient evaluation of prediction models
30.05.18, 12:15, MZH 6210
Christian Meerpohl: Optimization Strategies for Real-Time Conrol of an Autonomous Melting Probe
02.05.18, 12:15, MZH 6210
Daniel Otero Baguer: Inverse Problems and Machine Learning in designing new materials
18.04.18, 12:15, MZH 6210
Malin Lachmann: Forecasting the Production of Renewable Energy Power Plants using Data-based Modeling
Wiebke Heins: Realtime Forecast-Based Energy Management for Grid-Connected Local Systems with Renewable Energy Sources
Winter semester 2017/2018
24.01.18, 12:15, MZH 6210
Ekkehard Schnoor: Compressed Sensing and Neural Networks
Georgia Sfakianaki: On the Connection Between Sparsity and Tolerances in Parameter and Data Space
17.01.18, 12:15, MZH 6210
Saswati Saha: Dose Response Modelling in Phase II Clinical Trials
Sören Dittmer: ReLU and Neural Networks
10.01.18, 12:15, MZH 6210
Pascal Fernsel: Non-negative Matrix Factorization Methods with Applications to MALDI-Imaging / Deep Learning for ill-posed Inverse Problems
Miriam Steinherr: Analysis of bifurcations in non-smooth dynamical systems with applications to ship maneuvering
13.12.17, 12:15, MZH 6210
Margarete Runge: Parameter Identification in Controlled Dynamic Systems
Kai Schäfer: Parameter Identification by Decomposition of Nonlinearities
29.11.17, 12:15, MZH 6210
Christine Bathke: Magnetic Particle Imaging using Total Least Squares and Structural Prior Information
15.11.17, 12:15, MZH 6210
Illias Bougoudis: Satellite Remote Sensing of Halogens in the Arctic
Summer semester 2017
21.06.17, 12:15, MZH 6210
Alexander Konschin: Application of the Floquet-Transform to Scattering Problems from Locally Perturbed Bi-periodic Structures
Thies Gerken: Dynamic Inverse Problems for Wave Equations
07.06.17, 12:15, MZH 6210
Lars Siemer: Coherent Structures in Axially Symmetric Landau-Lifschitz-Gilbert-Slonczewski Equation
24.05.17, 12:15, MZH 6210
Max Westphal: Evaluation of multiple classifiers
Christian Etmann: Sensitivity Regularization of Neural Networks and Applications of Variational Analysis
10.05.17, 12:15, MZH 6210
Jens Behrmann: Input Reconstruction in Convolutional Neural Networks for Imaging Mass Spectrometry
Phil Gralla: Alternating Tikhonov Functionals by Incorporating Tolerances for Discrepancy
26.04.17, 12:15, MZH 6210
Sören Schulze: Approaches to Musical Instrument Separation
Winter semester 2016/2017
30.11.16, 12:15, MZH 2340
Principal Investigators (University of Bremen): Introduction of the PIs and their research topics
23.11.16, 12:15, MZH 2340
Principal Investigators (University of Bremen): Introduction of the PIs and their research topics