Events

Control theory and reinforcement learning converge on a shared objective: facilitating autonomous, real-time decision-making to optimize dynamical processes. Historically, these disciplines have diverged in assumptions regarding available prior information and in analytical techniques applied. However, recent advances bridging the two domains are fostering collaborations. The upcoming CWI research semester programme in spring 2025, themed "Control Theory and Reinforcement Learning: Connections and Challenges", will comprise a spring school and workshops on various sub-topics, orchestrated by a distinguished team including Aditya Gilra, Bert Kappen, Debabrota Basu, Frans Oliehoek, Maryam Kamgarpour and Sean Meyn, to explore the intersections and challenges within these intertwined fields.

The proposed three-day workshop will focus on interrelated mathematical advances in each of the following highly active areas of current research: complex birational geometry (led by MMP), K-stability, and moduli spaces. These domains are of fundamental importance for the (birational) geometry and classification of complex projective varieties as well as for the understanding of their moduli spaces. The workshop will focus on some of the current frontiers that are of particular importance to each of these areas.

The school in Geilo will be devoted to selected topics in analysis, geometry, and differential equations. Participants are invited to stay from Sunday evening March 2 to Friday March 7. The scientific program for the winter school will begin in the morning of Monday March 3. The main lecturers are: - Mike Eastwood (Adelaide, Australia): Prolongation and symmetry - Karin Melnick (Luxembourg): Rigid geometric structures and their automorphism groups - Sigmund Selberg (Bergen, Norway): The geometry of the light cone, the vector fields method, and global existence for non-linear wave equations - Francisco Torres de Lizaur (Seville, Spain): Dynamics of 2D and 3D divergence-free flows, with applications to fluid mechanics and magnetohydrodynamics In addition to these, the meeting will have regular / contributed lectures by participants.

The International Workshop on Information Geometry, Quantum Mechanics and Applications is part of a series of meetings on Quantum Mechanics and its applications that are held annually either at Policeta (Italy) or Madrid. It is an international meeting devoted to the study of the mathematical foundations of Quantum Mechanics and their applications, many of them instrumental in the emergent problems related to Quantum Information Technologies. The objective of this workshop is to present a few relevant problems in the foundations of Quantum Mechanics to a small number of young researchers (Post and Pre doctoral) and to work in a collaborative environment.

Researchers working on graph algorithms use a broad range of different criteria for deciding what makes an algorithm efficient. While in theory the dominant benchmark is the asymptotic running time, in practice the story is more nuanced: an algorithm needs to be simple enough to be implementable, fast on graphs of bounded size, space efficient, cache-friendly, and easy to test. While many of these requirements motivate interesting algorithmic questions that are highly relevant in practice, they are often overlooked by the theory community. The goal of the workshop is to foster the exchange of ideas between researchers working on graph algorithms, which have high practical relevance. The workshop will include overview talks on the various perspectives, research talks, an open problem session, and structured time for collaboration. The topics of the workshop include fundamental data science graph algorithms (e.g., clustering, partitioning, graph embedding), graph neural networks, and modeling data using networks (e.g. approximate nearest neighbor search). Additionally, the workshop program incorporates problems and approaches necessitated by scaling graph algorithms to large datasets (e.g. parallel, distributed, dynamic and external memory models, as well as algorithm engineering).

The Institute for Mathematical Stochastics at the Technical University Braunschweig will host the Workshop "Stochastic processes on random geometries” scheduled from February 17-21 2025. The program will feature two mini lecture series delivered by: Martin Barlow (University of British Columbia) Nina Gantert (TU Munich) In addition, the event will include 14 invited lectures and one session dedicated to young researchers. The specific topics include random walks in random environment, static and dynamic percolation, interacting particle systems, statistical mechanics and their applications in physics, materials science and biology. Our aim is to provide a platform for the presentation of recent results, national and international scientific exchange and the education of younger scientists that are interested in the subject. For more information, including a list of invited speakers and a link for registration, see the workshop webpage. The workshop is supported by the SSP2265 "Random Geometric Systems".

This workshop brings together researchers from three distinct streams of mathematics: the classical rigidity theory of bar-joint and tensegrity frameworks in combinatorics and discrete geometry; the theory of generalized circle packing that arose from the study of 3-manifolds in geometric topology, extending to sphere packing and jamming; and discrete differential geometry. A scattering of results in recent years has started to forge connections among these fields. The main aim of the workshop is to encourage their cross-fertilization, with particular emphasis on the rigidity of inversive distance packings. Participants will attend presentations on cutting-edge research and initiate new collaborations.

This conference is devoted to the mathematical theory of incompressible flows. It will hold 13 talks by international young speakers dealing with different aspects of the analysis of partial differential equations coming from the area of fluid mechanics.

The great event on Recreational Mathematics and Mathematical Magic. Honoring Martin Gardner.

The study of pattern formation in biological, ecological, physical, and social systems involves a rich interplay between theory, modeling, and computation. In recent years, new opportunities have emerged for pattern detection and identification in applications using data-scientific approaches. These applications include spiral waves in cardiac dynamics, vegetation patterns in arid ecosystems, and cell organization in biological tissues. The aim of this workshop is to bring together researchers at the interface of these diverse aspects of pattern-formation theory, computation, and applications in order to share ideas and identify new challenges and open problems. The scientific program will focus on the use of dynamical systems methods in the study of pattern formation, as well as the integration of dynamics, data, and computation.