Zuse Research Colloquium   📅

Homepage
https://talks.zib.de/research-colloquium/
Institute
ZIB
Description
The Zuse Research Colloquium at the Zuse Institute Berlin is an interdisciplinary forum for Applied Mathematics and Computer Science. High-profile speakers from academia and industry present cutting-edge research in our large lecture hall. Talks occur intermittently and are open to the public. This series offers a unique opportunity to engage with leading experts in an accessible format.
Usual venue
ZIB Lecture Hall
Number of talks
4
November 2024
Zuse Research
Tue, 19.11.24 at 11:00
ZIB Lecture Hall
Stefan Volkwein Link Icon
Certified Reduced-Order Methods for Model Predictive Control of Time-Varying Evolution Processes
Abstract. In this talk model predictive control (MPC) is utilized to stabilize a class of linear time-varying parabolic partial differential equations (PDEs). In our first example the control input is only finite-dimensional, i.e., it enters as a time-depending linear combination of finitely many indicator functions whose total supports cover only a small part of the spatial domain. In the second example the PDE involve switching coefficient functions. We discuss stabilizability and the application of reduced-order models to derive algorithms with closed-loop guarantees. <p>This is joint work with , and Benjamin Unger (Stuttgart).</p>
October 2024
Zuse Research
Wed, 16.10.24 at 14:00
fubma001
Hiroshi Kera Link Icon
Learning to Compute Gröbner bases
Abstract. Solving a polynomial system, or computing an associated \gb basis, has been a fundamental task in computational algebra. However, it is also known for its notorious doubly exponential time complexity in the number of variables in the worst case. In this talk, I present a new paradigm for addressing such problems, i.e., a machine-learning approach using a Transformer. The learning approach does not require an explicit algorithm design and can return the solutions in (roughly) constant time. This talk covers our initial results on this approach and relevant computational algebraic and machine learning challenges.
June 2024
Zuse Research
Wed, 26.06.24 at 13:00
fubcslecturehall
Benjamin Seibold Link Icon
Swarm-Performance of Multi-Agent Systems and Connections to Equity
Abstract. Many real-world systems are composed of agents whose interactions result in a collective swarm behavior that may be complex, unexpected, and/or unintended. We highlight intriguing cases of interplay between the micro-scale behavior of agents and the macro-scale performance of the swarm, with a particular emphasis on heterogeneous systems composed of different types of agents, such as: traffic flow (the role of automation/connectivity on the energy footprint of urban traffic flow), mixed human/robotic groups (transportation of supplies to a disaster area), and biological systems (schools of fish and colonies of penguins). We particularly show how behavior interpretable as 'equitable’ or 'altruistic’ is possible to arise from pure survival-of-the-fittest objective functions
May 2024
Zuse Research
Thu, 30.05.24 at 14:00
ZIB Lecture Hall
Melanie Weber Link Icon
Geometric Machine Learning and Graph Machine Learning