Rigorous analysis of random complex systems
This Focus Programme centers on the rigorous analysis of the effective behavior of complex random systems. Such systems arise naturally across several mathematical domains, with canonical examples stemming from statistical mechanics, homogenization, and training algorithms for artificial neural networks. These areas, while diverse in their origins, share a common mathematical foundation rooted in probability theory and analysis, and they pose challenges that require a unified and rigorous approach.
Conferences and Workshops:
Further information will follow.
- 23 April 2027: Mini-Workshop
Random tessellations and statistical learning
The aim of this workshop is to gather the researchers working in stochastic geometry with particular focus on random tessellations and those working in statistical learning with a particular focus on methods that utilise random partitions, creating the opportunity to foster new collaborations and get an input on recent developments in both areas. - 26 ‒ 28 April 2027: School/workshop
Dynamics and Geometry of Point Processes
This workshops aims to present recent developments in analytical and geometrical aspects of point processes, such as functional inequalities, asymptotic large scale behaviour, geometric models, and dynamics. - June 2027 (tba): Workshop
Homogenisation and Mixing
tba - 30 August ‒ 3 September 2027: Conference
Dynamics, Random Media and Universality of Complex Physical systems
The conference will address a broad spectrum of topics at the interface of probability theory and statistical mechanics. It will bring together leading experts alongside early-career researchers, fostering a lively and productive exchange of ideas.
Organisers:
Steffen Dereich, Arnulf Jentzen, Anna Gusakova, Martin Huesmann, Zakhar Kabluchko, Matthias Löwe, Chiranjib Mukherjee, Christian Seis, Hendrik Weber, Caterina Zeppieri















