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.


Dr. Pascal Fernsel

Center for Industrial Mathematics
Room: MZH 2290
+49 421 218 63814
p.fernselprotect me ?!uni-bremenprotect me ?!.de

Summer Semester 2024

03.04.2024, 12:15, MZH 2340 (hybrid mode)

Friederike Preuße: Nonstationarity of the hemodynamic response function in event-related functional magnetic resonance imaging

22.05.2024, 12:15, MZH 2340

Lasse Fischer: Sequential Monte-Carlo testing by betting

19.06.2024, 12:15, Room: TBA, hybrid mode

Magdalena Thode: TBA

19.06.2024, 13:00, Room: TBA, hybrid mode

Annika Osmers: Goal-oriented adaptive finite cell methods for parabolic problems

Winter semester 2023/2024

25.10.2023, 12:15, MZH 1100

Daniel Ochieng Odipo: Randomized p-value statistics for multiple testing in discrete models

10.01.2024, 12:15, MZH 1100

Christine Winther Bang: Causal equivalence with tiered background knowledge

24.01.2024, 12:15, MZH 1100

Tom Freudenberg: Homogenization of rough and porous interfaces

24.01.2024, 13:00, MZH 1100

Torben Schürenberg: Being selfish in routing and colouring. Is it bad?

Summer semester 2023

28.06.2023, 12:15, Online Event

Gideon Klaila: Persistence Transformation and Application

12.07.2023, 12:15, Online Event

Lena Ranke: (Optimal) Choices of Landmarks regarding different Witness Complex constructions

12.07.2023, 13:00, Online Event

Alexander Denker: New developments of generative models for inverse problems

Winter semester 2022/2023

23.11.2022, 10:15, Online Event

Eva Dierkes: Learned Hamiltonian Systems and their Symmetries

07.12.2022, 10:15, MZH 2340

Ivan Mykhailiuk: Evaluation of Quality of Local Solutions to Nonlinear Programs based on Parametric Sensitivities

07.12.2022, 11:00, MZH 2340

Johannes Leuschner: DIP-based CT reconstruction, uncertainty quantification and experimental design

Summer semester 2022

04.05.2022, 13:00, video conference 

Vladimir Vutov: Multiple multi-sample testing under arbitrary covariance dependency

18.05.2022, 12:15, video conference

Maximilian Schmidt: Benchmarking CT Reconstruction Methods & The Helsinki Deblur Challenge

15.06.2022, 12:15, video conference

Helge Mohn: SWIFT-AI: Implicit Neural Representations for Stratospheric Ozone Chemistry

15.06.2022, 13:00, video conference

Christine Winther Bang: Efficient use of temporal background knowledge for causal discovery with cohort data

29.06.2022, 12:15, video conference

Lennart Evers: Single shot uncertainty estimation and soft label reinforcement using multi task neural networks

Winter semester 2021/2022

24.11.2021, 10:00, video conference 

Anh-Tuan Hoang, Statistical Methods for replicability analyses

12.01.2022, 12:15, video conference
Lena Ranke, Witness Complexes in Topological Data Analysis

Summer semester 2021

02.06.2021, 12:15, video conference

Alexander Denker: Sparse view CT challenge and extensions of the learned primal-dual method

02.06.2021, 13:00, video conference

Ivan Mykhailiuk: Convergence to Preferable Minima in Real-Time Nonlinear Optimization Problems

16.06.2021, 12:15

Vladimir Vutov: A two-sample comparison of MALDI-Imaging data

30.06.2021, 13:00

Eva Dierkes: Learning Hamiltonian Systems considering System Symmetries

Winter semester 2020/2021

02.12.20, 12:15, video conference

Gideon Klaila: Discrete Morse Theory in Topological Data Analysis

13.01.21, 12:15, video conference

Sonal Rami: Machine Learning Approaches in Climate Modelling

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

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

Summer semester 2020

22.04.20, 12:15, video conference

Peter Maass: Structure of the RTG

06.05.20, 12:15, video conference

Peter Maass: Structure of the RTG

01.07.20, 12:15, video conference

Sonal Rami: Machine Learning Approaches in Climate Modelling

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

Winter semester 2019/2020

15.01.20, 12:15, MZH 6190

Pascal Fernsel: Nonnegative Matrix and Tensor Factorizations - Theory and Selected Applications

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

Summer semester 2019

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

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

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

Winter semester 2018/2019

12.12.18, 12:15, MZH 2340

Sören Dittmer: ReLU Singular Values, Gaussian mean width and Regularization by Architecture

23.01.19, 12:15, MZH 2490

Jonathan von Schroeder: Application of Optimal Transport to MALDI Data

Summer semester 2018

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

02.05.18, 12:15, MZH 6210

Daniel Otero Baguer: Inverse Problems and Machine Learning in designing new materials

30.05.18, 12:15, MZH 6210

Christian Meerpohl: Optimization Strategies for Real-Time Conrol of an Autonomous Melting Probe

13.06.18, 12:15, MZH 6210

Max Westphal: Efficient evaluation of prediction models

27.06.18, 12:15, MZH 6210

Jonathan von Schroeder: Application of Optimal Transport to MALDI Data

Winter semester 2017/2018

15.11.17, 12:15, MZH 6210

Illias Bougoudis: Satellite Remote Sensing of Halogens in the Arctic

29.11.17, 12:15, MZH 6210

Christine Bathke: Magnetic Particle Imaging using Total Least Squares and Structural Prior Information

13.12.17, 12:15, MZH 6210

Margarete Runge: Parameter Identification in Controlled Dynamic Systems

Kai Schäfer: Parameter Identification by Decomposition of Nonlinearities

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

17.01.18, 12:15, MZH 6210

Saswati Saha: Dose Response Modelling in Phase II Clinical Trials

Sören Dittmer: ReLU and Neural Networks

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

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