The workshop "Mathematical Imaging and Surface Processing" is designed to foster exchange and collaboration between applied mathematicians and applied computer scientists on problems arising in computer graphics, geometry ...

This tandem workshop with MATRIX in Creswick, Australia, brought together leading experts from the fields of geometric partial differential equations and geometric analysis in general. The focus of the workshop ...

An alcoved polytope is a polytope whose facet normal are all in direction of type $A$ roots. This fundamental class of polytopes has ample applications in for instance tropical geometry, statistics and algebra. ...

The mathematical study of quantum many-body physics has seen significant breakthroughs in the past 15-20 years. Mathematical physicists have approached these systems from different perspectives with different methods. The ...

Over the last decade, deep generative modelling has emerged as a powerful probabilistic tool in machine learning. The idea behind generative modelling is simple: transform noise to create new data that matches a given ...

In machine learning, a field addressing the extraction of information and structure from finite data with the means of computer science and mathematics, maps from finite-dimensional spaces of data or computations into ...

Set theory has experienced rapid development in the recent years, both in pure set theory and in its applications to other fields of mathematics. We have seen breakthroughs in combinatorial set theory, forcing, inner models, ...

Over the last 30 years, there has been spectacular progress in deriving the well-known hydrodynamic limits from stochastic interacting particle systems, as well as characterizing the fluctuations of locally conserved quantities ...

Uncertainty quantification (UQ) is concerned with including and characterising uncertainties in mathematical models. Major steps include the proper description of system uncertainties, analysis and efficient quantification ...