Address:
Inselstraße 22
04103 Leipzig
Germany
Phone:
+49 (0) 341 - 9959 - 50
Fax:
+49 (0) 341 - 9959 - 658
Contact by E-mail
How to find our institute
Welcome to the MPI MiS
Fundamental questions arising from natural and engineering sciences and economics have always inspired mathematicians to search for new mathematical structures and methods. The interaction between mathematics and the sciences forms the central point of research at the Max Planck Institute for Mathematics in the Sciences (MiS) in Leipzig.
Can optical art relieve or cure certain mental illnesses? (29.11.2021)
This question aroused the curiosity of artist Youri Messen-Jaschin after noticing peculiar effects on some people appreciating his art. He initiated a book project combining optical art and scientific research to which our group leader Noémie Combe contributed a mathematical point of view on optical illusions.
25 years of MiS - Wolfgang Hackbusch and the world of hierarchical matrices (24.11.2021)
In the latest iteration of our 25 years of MiS column, we feature our director emeritus Wolfgang Hackbusch and look at a critical component of his work. Hierarchical Matrices are a fundamental mathematical tool to solve large systems of equations with various unknowns that are ubiquitous in the natural sciences and data science.
Calendar
- 07.12.2021, 11:00, room: E1 05 (Leibniz-Saal), Bogdan Raita:
On the compensated compactness method for concentration effects (see abstract)
attendance restricted, registration required - 08.12.2021, 15:15, Florian Frick:
Chirality in topology and combinatorics
Attention: this talk has to be cancelled - 09.12.2021, 17:00, only video broadcast (please register), Tom Kennedy:
Renormalization group maps for Ising models and tensor networks (see abstract) - 10.12.2021, 11:00, only video broadcast (please register), Fan Zheng:
Long-term stability of traveling waves of the Burgers-Hilbert equations (see abstract) - 16.12.2021, 17:00, only video broadcast (please register), Zhi-Qin John Xu:
Occam’s razors in neural networks: frequency principle in training and embedding principle of loss landscape (see abstract) - 13.01.2022, 11:00, only video broadcast (please register), Celia Hacker:
to be announced (see abstract) - 13.01.2022, 13:00, only video broadcast (please register), Yoshiko Ogata:
An invariant of symmetry protected topological phases with on-site finite group symmetry for two-dimensional Fermion systems (see abstract) - 13.01.2022, 17:00, only video broadcast (please register), Yuan Cao:
to be announced (see abstract) - 09.03 - 11.03.2022: MPI MiS (E1 05 (Leibniz-Saal)), Conference:
Research Data in Statistics - 14.03 - 18.03.2022: MPI MiS (E1 05 (Leibniz-Saal)), Workshop:
Leipzig Lectures on Theta
Directors
Welcome
- Bogdan Raita (03.12.)
- Alvaro Diaz-Ruelas (01.12.)
- Christiaan Van De Ven (01.12.)
Recent results
- El Maazouz, Y. ; Nebe, G. and M. Stanojkovski: Bolytrope orders. [link]
- Kahrobaei, D. and M. Stanojkovski: Cryptographic multilinear maps using pro-\(_p\) groups. [link]
- Améndola, C. ; Gustafsson, L. ; Kohn, K. ; Marigliano, O. and A. Seigal: The maximum likelihood degree of linear spaces of symmetric matrices. [link]
- Cid-Ruiz, Y.: Equations and multidegrees for inverse symmetric matrix pairs. [link]
- Al Ahmadieh, A. ; Kummer, M. and M.-S. Sorea: A generalization of the space of complete quadrics. [link]
- Davies, I. and O. Marigliano: Coloured graphical models and their symmetries. [link]
- Dye, S. ; Kohn, K. ; Rydell, F. and R. Sinn: Maximum likelihood estimation for nets of conics. [link]
- Eur, C. ; Fife, T. ; Samper, J. A. and T. Seynnaeve: Reciprocal maximum likelihood degrees of diagonal linear concentration models. [link]
- Jiang, Y. ; Kohn, K. and R. Winter: Linear spaces of symmetric matrices with non-maximal maximum likelihood degree. [link]
- Brysiewicz, T. ; Kozhasov, K. and M. Kummer: Nodes on quintic spectrahedra. [link]
- Brysiewicz, T. ; Fevola, C. and B. Sturmfels: Tangent quadrics in real 3-space. [link]
- Boege, T. ; Coons, J. I. ; Eur, C. ; Maraj, A. and F. Röttger: Reciprocal maximum likelihood degrees of Brownian motion tree models. [link]
