Events

The NLDL Winter School consists of tutorials by experts in the field and is co-hosted by NORA as part of the NORA Research School. A preliminary program will be made available soon. Getting formal ECTS Credits: UiT The Arctic University of Norway awards 5 ECTS for the Winter School for students who register formally for the course at UiT before the 1st of November (for credits, there is a limit of 40 students). To obtain credits, participants are required to present an ongoing research project (poster presentation) as part of the winter school and complete a home exam afterward. The NLDL Winter School will consist of tutorials from leading experts in the machine learning field. Below we present each tutorial, followed by the tutorial speakers: - Tutorial 1: Aleatoric and Epistemic Uncertainty in Statistics and Machine Learning by Willem Waegeman from Ghent University - Tutorial 2: Responsible and Explainable Artificial Intelligence by Leila Methnani and Virginia Dignum from Umeå University - Tutorial 3: Large Language Models Under the Hood by Andrey Kutuzov, Egil Rønningstad and David Samuel from the Language Technology Group, University of Oslo - Tutorial 3: Multimodal Machine Learning by Michael Kampfmeyer and Kristoffer Wickstrøm from UiT - The Arctic University of Norway.

Deep learning is an emerging subfield in machine learning that has in recent years achieved state-of-the-art performance in image classification, object detection, segmentation, time series prediction and speech recognition to name a few. The Northern Lights Deep Learning Conference (NLDL) gathers researchers both on a national and international level to exchange ideas, encourage collaborations and present cutting-edge research.

Biological systems are typically highly interconnected and complex. With technological advances, it is possible to collect massive amounts of data from these systems, but it is not always clear how to organize the information to draw conclusions and make predictions. In such cases, mathematical formulations are powerful tools allowing researchers to frame questions, explore patterns, and synthesize information. The workshop aims to build research collaboration among researchers in mathematical biology. Participants will spend a week making significant progress on a research project and foster innovation in the application of mathematical, statistical, and computational methods in the resolution of significant problems in the biosciences with the goal of publishing research results in a collected volume. The workshop will also include career development lunchtime sessions. Women and those with underrepresented gender identities are encouraged to apply.

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.

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

Given an incidence structure, one may model a variety of geometric problems. This Semester Program will revolve around two fundamental examples and their applications to modern challenges in the study, analysis, and design of materials. (1) Packings and patterns of circles where the underlying combinatorics are mixed with advanced geometric concepts and strong links are made to discrete differential geometry. (2) The rigidity and flexibility of bar-joint structures where real algebraic geometry is intertwined with sparse graph theory and matroidal techniques. A prime objective of the program is to advance the applicability of these topics to fundamental applications, most notably in statistical physics and materials science. The program will integrate diverse fields of discrete mathematics, geometry, theoretical computer science, mathematical biology, and statistical and soft matter physics. Various workshops will be designed to attract both theoretical and applied practitioners and to stimulate the cross-fertilization of ideas between these disparate communities.

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.

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".

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: -Sean Curry (Oklahoma, USA) The Geometry of Strongly Pseudoconvex Domains -Sigmund Selberg (Bergen, Norway) TBA -Francisco Torres de Lizaur (Seville, Spain) TBA -Enrico Le Donne (Fribourg, Switzerland) (to be confirmed) In addition to these, the meeting will have regular / contributed lectures by participants.

This workshop will be centered on recent advances in graph rigidity and interactions between rigidity, algebraic statistics, and matroid theory. Three major advances are the recent resolution of the matroid maximality conjecture, the newly developed link to maximum likelihood estimation in Gaussian graphical models, and the recent positive resolution of Lovasz and Yemini's connectivity conjecture for generic rigidity. The workshop will showcase a diverse sample of current work addressing fundamental problems in graph rigidity, algebraic matroids, and algebraic statistics.