Konrad Mundinger
I currently work on (approximately) solving large-scale PDE-constrained optimization problems using dynamic programming and physics-informed neural networks. This brings together many of my research interests, which include but are not limited to: Continuous (convex) optimization, Stochastics, Control Theory, Numerics of PDEs, and (Scientific) machine learning.
📬 Contact
- office
- Room 3027 at ZIB
- mundinger (at) zib.de
mundinger (at) math.tu-berlin.de - languages
- German, English, Polish, and Spanish
🎓 Curriculum vitae
- since 2023
- Researcher at TUB
- since 2023
- Member of BMS
- Dec 2020
- M.Sc. in Mathematics at TUB
- Mar 2017
- B.Sc. in Business Mathematics at TUB
📝 Publications and preprints
Preprints
- Mundinger, K., Zimmer, M., and Pokutta, S. (2024). Neural Parameter Regression for Explicit Representations of PDE Solution Operators.
[arXiv]
[BibTeX]
Conference proceedings
- Mundinger, K., Pokutta, S., Spiegel, C., and Zimmer, M. (2024). Extending the Continuum of Six-Colorings. Proceedings of the Discrete Mathematics Days.
[URL]
[arXiv]
[BibTeX]
Full articles
🔬 Projects
In this project, we study domain decomposition approaches for optimal control in gas transport networks. Our goal is to couple space-time-domain decomposition with machine learning and mixed-integer programming. We will develop NeTI (Network Tearing and Interconnection), a data-driven and physics-informed algorithm combining mixed-integer nonlinear programming, surrogate model learning, and graph decomposition strategies.
💬 Talks and posters
Research seminar talks
- Feb 2025
- TBD
IOL Research Seminar (IOL), Berlin - May 2024
- Learning Operators Via Hypernetworks
Research Seminar Numerical Analysis of Stochastic and Deterministic Partial Differential Equations, Berlin
Poster presentations
- May 2024
- Neural Parameter Regression for Explicit Representations of PDE Solution Operators
Workshop on AI4DifferentialEquations in Science @ ICLR 2024, Vienna
📅 Event Attendance
- May 2025
- 7th DOxML Conference, Kyoto
- May 2024
- 12th International Conference on Learning Representations (ICLR), Vienna
👨🏫 Teaching
- summer 2024
- Assistant for Analysis 1 and Linear Algebra for Engineers at TUB
- winter 2020
- Tutor for Analysis II for Engineers at TUB
- summer 2020
- Tutor for Probability Theory at TUB
- winter 2019
- Tutor for Analysis and Linear Algebra for Engineers at TUB
- summer 2019
- Tutor for Probability Theory at TUB
- winter 2018
- Tutor for Analysis II for Engineers at TUB
- summer 2018
- Tutor for Analysis I for Engineers at TUB
📝 Organization and outreach
- 2023
- Assisted in the organization of workshop for MATH+ Thematic Einstein Semester in Berlin